JP6545668B2 - Apparatus and method for distributed update of a self-organizing network - Google Patents

Description

Claim of priority

  [0001] Additionally, the present application is filed on Oct. 1, 2013, which is assigned to the assignee of the present application and specifically incorporated herein by reference. "Apparatus and Method for Distributed Optimization of a Self Organizing No. 61 / 885,355 entitled “Network” claims priority.

  Wireless communication systems are widely deployed to provide various telecommunication services such as telephony, video, data, messaging, and broadcasting. A typical wireless communication system may use multiple access technology that can support communication with multiple users by sharing available system resources (eg, bandwidth, transmit power). Examples of such multiple access techniques include code division multiple access (CDMA) systems, time division multiple access (TDMA) systems, frequency division multiple access (FDMA) systems, orthogonal frequency division multiple access (OFDMA) systems, single carrier A frequency division multiple access (SC-FDMA) system and a time division synchronous code division multiple access (TD-SCDMA) system are included.

  [0003] These multiple access technologies are employed in various telecommunications standards to provide a common protocol that allows different wireless devices to communicate on a city, national, regional, or even global scale. . An example of an emerging telecommunications standard is Long Term Evolution (LTE). LTE is an expanded set of Universal Mobile Telecommunications System (UMTS) mobile standards, announced by the 3rd Generation Partnership Project (3GPP). It supports Mobile Broadband Internet Access more comfortably by improving spectrum efficiency, lowers costs, improves service, exploits new spectrum, OFDMA on the downlink (DL), uplink ( UL) is designed to use SC-FDMA and to integrate with other open standards using Multiple Input Multiple Output (MIMO) antenna technology. However, as the demand for mobile broadband access continues to increase, there is a need for further improvements in LTE technology. Desirably, these improvements should be applicable to other multiple access technologies and telecommunications standards that use these technologies.

  [0004] To supplement conventional base stations, additional limited power or limited coverage base stations, called small coverage base stations or cells, are deployed to provide more robust wireless coverage to mobile devices. obtain. For example, wireless relay stations and low power base stations (eg, commonly known as home Node B or home eNB, which are collectively referred to as H (e) NB, femto nodes, pico nodes, etc.) may have progressive capacity , A richer user experience, in-building or other specific geographic coverage, and / or the like may be deployed. Such low power or small coverage (eg, compared to macro network base stations or cells) base stations can provide a backhaul link to the mobile operator's network broadband connection (eg digital subscriber line (eg DSL) may be connected to the Internet via a router, cable or other modem, etc.). Thus, for example, a small coverage base station may be deployed at the user's home to provide mobile network access to one or more devices via a broadband connection. Because the deployment of such base stations is unplanned, low power base stations may interfere with one another where multiple stations are deployed close to one another.

  [0005] For example, small cell transmit power management can help to improve capacity and coverage, and can be recognized as part of the "Capacity and Coverage Optimization" framework in LTE and can be located within a central network server It is defined in 3GPP as a type self-organizing network function. The centralized framework is based on information gathered over a larger area and from a large number of sources, including reports from eNBs and reports from UEs, through a Drive Test Minimization (Drive Test) Minimization (MDT) procedure. You can enjoy the benefits. The centralized self-organizing network function may reduce the transmit power of the cell if it can reduce interference and improve signal to interference and noise ratio (SINR) without violating coverage. While the measurement report from the UE enables tracking of SINR, this MDT function enables the central SON server to track coverage holes in the network. Better coordination between centralized and decentralized design options is needed for more rapid reactivity and more scalability at small cell densities.

  Therefore, a method and apparatus for distributed update of a self-organizing network is desired.

  [0007] Various aspects are now described with reference to the drawings. In the following description, for the purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of one or more aspects. However, it may be apparent that such aspect (s) may be practiced without these specific details. The following presents a simplified summary of one or more aspects in order to provide a basic understanding of such aspects.

  The present disclosure presents an example method and apparatus for distributed update of a self-organizing network. For example, the present disclosure may transmit a portion of the data collected at the base station to the network entity via the transmitting component of the base station, wherein the data collected at the base station is one or more than one. A base station received by a base station from one or more user equipments (UEs) in communication with a plurality of base stations, the base station being one of one or more base stations Receiving feedback from the network entity related to the one or more network parameters, wherein the feedback received from the network entity is one of the data transmitted from the one or more base stations to the network entity Network entity determined at the network entity based at least on How presenting as a example for performing the updating of one or more network parameters at the base station based on the local information in the feedback and the base station received from Iti.

  [0009] In an additional aspect, an apparatus for distributed update of a self-organizing network is disclosed. For example, the apparatus may comprise means for transmitting to the network entity a portion of the data collected at the base station, wherein the data collected at the base station is in communication with one or more base stations. From one or more user equipments (UEs), received by the base station, which is one of the one or more base stations, in one or more network parameters of the base station Means for receiving relevant feedback from the network entity, wherein the feedback received from the network entity is based at least in part on data transmitted from the one or more base stations to the network entity Received from a network entity, determined at the network entity It may include a means for updating the one or more network parameters at the base station based on the local information in the feedback and the base station that.

  [0010] In a further aspect, a computer program product for distributed update of a self-organizing network is disclosed. For example, the computer program product may transmit a portion of the data collected at the base station to the network entity via a transmitting component of the base station, wherein the data collected at the base station is one A base station received by the base station from one or more user equipments (UEs) in communication with the base station or base stations, which is one of the one or more base stations Receiving from the network entity feedback related to one or more of the network parameters, wherein the feedback received from the network entity is data of the data transmitted from the one or more base stations to the network entity Determined at the network entity based at least in part A computer readable medium comprising computer executable code for performing updating of one or more network parameters at a base station based on feedback received from a network entity and local information at the base station. May be included.

  Furthermore, the present disclosure presents an apparatus for distributed update of a self-organizing network. For example, a device may transmit a portion of data collected at a base station to a network entity, wherein the data collected at the base station is in communication with one or more base stations. From one or more user equipments (UEs), received by the base station, which is one of the one or more base stations, in one or more network parameters of the base station A feedback receiving component that receives related feedback from the network entity, wherein the feedback received from the network entity is based at least in part on data transmitted from the one or more base stations to the network entity , Determined at the network entity, the network May include a parameter update component for updating the one or more network parameters at the base station based on the local information in the feedback and the base station received from-entities.

  [0012] To the accomplishment of the foregoing and related ends, one or more aspects comprise the features hereinafter fully described and particularly pointed out in the claims. The following description and the annexed drawings set forth in detail certain illustrative aspects of the one or more aspects. However, these aspects are indicative of but a few of the various ways in which the principles of the various aspects may be used, and the aspects to be described include all such aspects and their equivalents. Expected.

FIG. 1 is an illustration of a wireless communication system in accordance with various aspects set forth herein. FIG. 2 is an illustration of a wireless network environment that can be employed in conjunction with the various systems and methods described herein. [0015] FIG. 3 illustrates a communication system that enables deployment of access point base stations within a network environment. [0016] FIG. 4 is an overview of an environment that facilitates distributed coverage optimization, in accordance with an aspect of the subject specification. [0017] FIG. 5 illustrates a block diagram of a self-optimization unit that facilitates distributed coverage optimization, according to an aspect herein. [0018] FIG. 6 is an illustration of a combination of electrical components to achieve distributed coverage optimization, according to an aspect. [0019] FIG. 7 is a flow chart illustrating a methodology for performing self-optimization according to aspects herein. [0020] FIG. 8 is a flow chart illustrating a methodology for disseminating coverage reporting in accordance with aspects of the subject specification. [0021] FIG. 9 is a block diagram illustrating an example wireless system in accordance with aspects of the disclosure. [0022] FIG. 10 is a block diagram illustrating an example distributed update manager, in accordance with various aspects set forth herein. [0023] FIG. 11 is a flow diagram illustrating an example of a method for distributed update, in accordance with various aspects set forth herein. [0024] FIG. 12 is a block diagram illustrating an example of logical grouping of electrical components in accordance with various aspects set forth herein. [0025] FIG. 13 illustrates an example of a network that facilitates distributed coverage optimization, in accordance with aspects described herein. [0026] FIG. 14 is an illustration of an example implemented communication system in accordance with various aspects set forth herein. [0027] FIG. 15 is an illustration of an example base station in accordance with various aspects set forth herein. [0028] FIG. 16 is an illustration of an example of a wireless terminal implemented in accordance with various aspects set forth herein.

  [0029] Various aspects are now described with reference to the drawings, wherein like reference numerals are used to refer to like elements throughout. In the following description, for the purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of one or more aspects. However, it may be apparent that such aspect (s) may be practiced without these specific details. In other instances, well-known structures and devices are shown in block diagram form in order to facilitate the description of one or more aspects.

  [0030] In an aspect, the present disclosure provides a method and apparatus for distributed update of a self-organizing network. For example, a base station may collect data from UEs in communication with the base station and / or neighboring base stations. The base station may send a portion of this data (e.g., an aggregated sample or report) to the network entity. In an aspect, a network entity may receive such information from one or more base stations in a base station's self-organizing network. The network entity may determine feedback for the base station based on data received from the base station (and other base stations) and may transmit minimum values, maximum values, and / or ranges of values to the base station. For example, the network entity may provide feedback to the base station to update the base station's transmit power to at least 200 mW. In addition to feedback (eg, to update transmit power to at least 200 mW) received from the network entity, the base station may use available local information at the base station, and transmit power to some value, eg, It can be updated to 220 mW.

  [0031] Referring now to FIG. 1, a wireless communication system 100 is illustrated in accordance with various aspects presented herein. System 100 comprises a base station 102 that can include multiple antenna groups. For example, one antenna group can include antennas 104 and 106, another group can include antennas 108 and 110, and a further group can include antennas 112 and 114. Two antennas are illustrated for each antenna group. However, more or less antennas may be utilized per antenna group. Base station 102 may additionally include transmitter chains and receiver chains, each of which may be a plurality of components related to signal transmission and reception (eg, a processor, as would be recognized by one skilled in the art) , Modulator, multiplexer, demodulator, demultiplexer, antenna, etc.).

  Base station 102 can communicate with one or more access terminals, such as access terminal 116 and access terminal 122. However, it can be appreciated that base station 102 can communicate with any number of access terminals similar to access terminals 116 and 122. Access terminals 116 and 122 may, for example, communicate through cellular telephones, smartphones, laptops, handheld communication devices, handheld computing devices, satellite radios, global positioning systems, PDAs, and / or wireless communication systems 100. It may be any other suitable device. As depicted, access terminal 116 is in communication with antennas 112 and 114, which transmit information to access terminal 116 on forward link 118 and access terminal 116 on reverse link 120. Receive information from Further, access terminal 122 is in communication with antennas 104 and 106, which transmit information to access terminal 122 on forward link 124 and receive information from access terminal 122 on reverse link 126. Do. In a frequency division duplex (FDD) system, for example, forward link 118 may utilize a different frequency band than that used by reverse link 120, and forward link 124 may be configured by reverse link 126. A frequency band different from that used may be used. Further, in a time division duplex (TDD) system, forward link 118 and reverse link 120 can utilize a common frequency band, and forward link 124 and reverse link 126 can share a common frequency band. It can be used.

  Each antenna group and / or the area in which they are designated to communicate may be referred to as a sector of base station 102. For example, antenna groups may be designated to communicate to access terminals in a sector of the area covered by base station 102. For communication through forward links 118 and 124, the transmit antenna of base station 102 may use beamforming to improve the signal-to-noise ratio of forward links 118 and 124 for access terminals 116 and 122. it can. Also, while base station 102 transmits to access terminals 116 and 122 randomly distributed in the relevant coverage using beamforming, as compared to the base station transmitting to all access terminals through a single antenna, Access terminals in adjacent base stations will be less susceptible to interference.

  FIG. 2 shows an example wireless communication system 200. The wireless communication system 200 depicts one base station 210 and one access terminal or user equipment (UE) 250 for sake of brevity. However, system 200 may include more than one base station and / or more than one access terminal, where additional base stations and / or access terminals may be exemplary base stations 210 described below. And may be substantially similar to or different from access terminal 250 should be recognized. Additionally, it should be appreciated that base station 210 and / or access terminal 250 can employ the systems and / or methods described herein to facilitate wireless communication therebetween .

  At base station 210, traffic data for multiple data streams is provided from a data source 212 to a transmit (TX) data processor 214. According to an example, each data stream may be transmitted through a respective antenna. TX data processor 214 formats, codes, and interleaves the traffic data stream based on the particular coding scheme selected for that data stream to provide coded data.

  [0036] The coded data for each data stream may be multiplexed with pilot data using orthogonal frequency division multiplexing (OFDM) techniques. Additionally or alternatively, pilot symbols may be frequency division multiplexed (FDM), time division multiplexed (TDM), or code division multiplexed (CDM). The pilot data is typically a known data pattern that is processed in a known manner and can be used at access terminal 250 to estimate channel response. The multiplexed pilot and coded data for each data stream is then selected for the particular modulation scheme selected for that data stream (eg, binary phase shift keying (BPSK), quadrature phase shift keying ( QPSK), M phase shift keying (M-PSK), or M-ary quadrature amplitude modulation (M-QAM), etc.) may be modulated (eg, symbol mapped) to provide modulation symbols. The data rate, coding and modulation of each data stream may be determined by the instructions performed or provided by processor 230.

[0037] Then, modulation symbols for the data streams may be provided to TX MIMO processor 220 (eg, for OFDM) that may further process the modulation symbols. Then, TX MIMO processor 220 provides _{N T} modulation symbol streams to _{N T} transmitters (TMTR) 222 a through 222. In various aspects, TX MIMO processor 220 applies beamforming weights to the symbols of the data streams and to the antenna from which the symbol is sent.

[0038] Each transmitter 222 receives and processes a respective symbol stream to provide one or more analog signals, and further conditions (eg, amplifies, filters, and upconverts) these analog signals. To provide a modulated signal suitable for transmission on the MIMO channel. Further, _{N T} modulated signals from transmitters 222a~222t are transmitted from _{N T} antennas 224a~224t respectively.

At access terminal 250, the transmitted modulated signals are received by N _R antennas 252a-252r and the received signal from each antenna 252 is provided to a respective receiver (RCVR) 254a-254r Be done. Each receiver 254 conditions (eg, filters, amplifies, and downconverts) the respective signal, digitizes the conditioned signal to provide samples, and further processes the samples to obtain corresponding Provide a symbol stream.

[0040] RX data processor 260 receives the N _R received symbol streams from N _R receivers 254, and processed based on a particular receiver processing technique is N _T "detected Symbol streams can be provided. An RX data processor 260 demodulates, deinterleaves and decodes each detected symbol stream to recover traffic data for the data stream. The processing by RX data processor 260 is complementary to that performed by TX MIMO processor 220 and TX data processor 214 of base station 210.

  The processor 270 can periodically determine which available techniques to use, as described above. Further, processor 270 can formulate a reverse link message comprising a matrix index part and a rank value part.

  [0042] The reverse link message may comprise various types of information regarding the communication link and / or the received data stream. The reverse link message is processed by TX data processor 238, which receives traffic data for multiple data streams from data source 236, is modulated by modulator 280, is conditioned by transmitters 254a-254r, and is sent to base station 210. It can be sent back.

  At base station 210, the modulated signal from access terminal 250 is received by antenna 224, conditioned by receiver 222, demodulated by demodulator 240 and processed by RX data processor 242 to be processed by access terminal 250. The transmitted reverse link message is extracted. Further, processor 230 can process the extracted message to determine which pre-coding matrix to use to determine the beamforming weights.

  Processors 230 and 270 can direct (eg, control, coordinate, manage, etc.) operation at base station 210 and access terminal 250, respectively. Respective processors 230 and 270 may be coupled to memories 232 and 272 that store program codes and data. Processors 230 and 270 may also perform calculations to derive frequency and impulse response estimates for the uplink and downlink, respectively.

  [0045] FIG. 3 illustrates an exemplary communication system that enables deployment of access point base stations within a network environment. As shown in FIG. 3, system 300 may be located at a plurality of access point base stations or alternatively, for example, each located in a corresponding small scale network environment, eg, at one or more user residences 330 And Femtocell, Home Node B Unit (HNB), Home Node B Unit (HNB), such as HNB 310 configured to serve not only relevant User Equipment (UE) or Mobile Station 320 but also irrelevant. It includes an evolved Node B unit (HeNB). Each HNB 310 is further coupled to the Internet 340 and the mobile operator core network 350 via a DSL router (not shown), or alternatively, via a cable modem (not shown).

  [0046] The present specification is generally directed to various aspects for facilitating distributed coverage optimization. Specifically, information exchange concepts for the purpose of automatic distributed CCO, semantics of the information being exchanged, and aspects directed to methods for computing information to be exchanged are disclosed. To achieve this goal, an overview of an exemplary system that facilitates distributed coverage optimization in accordance with certain aspects of the present disclosure is provided in FIG. As illustrated, system 400 includes a plurality of base stations 410, 420, 430, which serve wireless terminals 412, 422, 432, respectively. In this particular aspect, information is exchanged between base stations 410, 420, 430 for the purpose of CCO. In an aspect, the base stations 410, 420, 430 directly exchange information about long-term coverage statistics in the cells in which they are parent. Within the scope of such aspects, these statistics may be wireless terminals 412, 422 connected by the base station 410, 420, 430 and / or to the cell that the base station 410, 420, 430 is a parent of. , Reflect the measurements collected by 432. In certain aspects, information may be exchanged between eNBs using a standardized protocol such as X2 AP (3GPP TS 36.423) or S1 AP (TS 36.421) (eg, CSI- Coverage statistics, which is a generic term used herein). Here, for example, periodically (in this case, the period may be configurable by the network operator), per request by the base station, and / or when triggered by a particular configurable event (for example, It should be noted that the information may be exchanged via any of several mechanisms, etc., when the load in the cell exceeds a certain threshold, and so on.

  It should be noted that in terms of semantics, eNBs may exchange coverage related statistics reflecting any of a plurality of characteristics. For example, in an aspect, such statistics may include downlink / uplink coverage quality in the cell, received downlink / uplink power, received downlink / uplink interference power, received downlink interference power from a particular neighbor , UE transmit power level, cell geometry, and / or path loss in the cell.

  [0048] In a further aspect, coverage related statistics are calculated using internal eNB measurements and / or UE measurement report messages (MRM), wherein the time scale at which these statistics are calculated is a network operator It can be set by In certain aspects, the coverage related statistics are sufficiently long to cover any of a plurality of variations, including, for example, variations in UE geographic distribution, serving cell and neighbor cell loading, and / or UE mobility patterns. Calculated over time period.

Here, it should be noted that the method for calculating the coverage statistics exchanged between eNBs may be standardized. For example, the definition of each statistic to be exchanged may be standardized. However, another approach is not to standardize the method for calculating coverage statistics. For example, the average cell geometry may be defined as a number between 0 and 1, where lower numbers are associated with lower geometries. For this aspect, the eNB can then simply indicate its average geometry as 0.5 without showing how it was calculated. Similarly, the eNB parenting cell i does not specify how it was calculated interference coefficient IC _{i, j} to account for the level of interference received in cell i from cell j , Can be notified (eg, IC _{i, j} = 0.5). In this case, what can be standardized is the semantics (eg, meaning) of each statistic and its range (eg, 0 to 1).

  As mentioned above, the eNB may calculate coverage statistics from internal measurements and / or UE MRMs. The serving cell and / or neighboring cells may allow the eNB to configure UEs served by that eNB to collect and report measurements of signal quality. In an aspect, the UE may measure and report signal quality of neighboring cells as well as the serving cell. For example, the eNB may receive the reference signal reception power (RSRP) level of the serving cell and / or the neighboring cell, the reference signal reception quality (RSRQ) level of the serving cell and / or the neighboring cell, a radio signal strength indicator (RSSI) level, a UE transmission power level The UE may be configured to measure and report other measurements specified by a particular protocol (eg, 3GPP TS 36.423). It should also be noted here that measurement reports may be configured periodically and / or triggered.

  [0051] Referring now to FIG. 5, a block diagram of a self-optimizing unit that facilitates distributed coverage optimization is provided, according to an aspect. As shown, self-optimization unit 500 may include processor component 510, memory component 520, communication component 530, optimization component 540, calculation component 550, and trigger component 560. Here, it should be appreciated that, for example, the self-optimization unit 500 may reside at a base station (eg, an eNB) or at an access point base station (eg, an HeNB).

  In one aspect, processor component 510 is configured to execute computer readable instructions for performing any of a plurality of functions. Processor component 510 may analyze information to be communicated from self optimization unit 500 and / or memory component 520, communication component 530, optimization component 540, calculation component 550, and / or It may be a single processor or multiple processors dedicated to generating information that may be utilized by trigger component 560. Additionally or alternatively, processor component 510 may be configured to control one or more components of self-optimization unit 500.

  In another aspect, memory component 520 is coupled to processor component 510 and configured to store computer readable instructions for execution by processor component 510. Memory component 520 may also be any of several other types of data including data generated by any of communication component 530, optimization component 540, calculation component 550, and / or trigger component 560. It may be configured to store data. Memory component 520 may be configured in a number of different configurations, including random access memory, battery-backed memory, hard disk, magnetic tape, and the like. Various features may also be implemented on memory component 520, such as compression and automatic backup (eg, use of redundant arrays of independent drives).

  In another aspect, communication component 530 is also coupled to processor component 510 and configured to interface self-optimization unit 500 with external entities. For example, communication component 530 may be configured to receive coverage related measurements from an external entity and report the coverage report generated by computing component 550. Here, it should be noted that such external entities may include wireless terminals and / or base stations, wherein the communication component is configured to facilitate specific communication . For example, with respect to a wireless terminal, communication component 530 may be further configured to provide configuration data to the wireless terminal to configure the wireless terminal to collect specific coverage related measurements. However, with respect to a base station, communication component 530 may be further configured to facilitate backhaul connection (eg, via an S1 or X2 interface) with a particular base station.

  [0055] As illustrated, self-optimization unit 500 may further include optimization component 540 and calculation component 550. Within such an aspect, the optimization component 540 is configured to self-optimize coverage parameters as a function of at least one coverage related measurement, while the calculation component 550 is configured to at least one It is configured to provide coverage reporting based on the coverage related measurements. In particular aspects, the calculation component 550 is further configured to determine a set of coverage related statistics to be included in the coverage report. A set of coverage related statistics, eg, coverage quality (eg, downlink / uplink coverage quality in the cell), received power (eg, received downlink / uplink power), received interference power (eg, received downlink // It should be noted that it may be related to any of several characteristics including uplink interference power), received downlink interference power from a particular neighbor, user equipment transmit power, cell geometry, and / or path loss in the cell. is there.

  [0056] In a further aspect, the calculation component 550 is configured to calculate a set of coverage related statistics over at least one coverage related measurement. For example, calculation component 550 may be configured to calculate an average value, a maximum value, and / or a minimum value over at least one coverage related measurement value. Within such an aspect, computing component 550 may be further configured to perform such calculations across any of a plurality of coverage related measurements, where such measurements are for serving cell and / or neighbors. It may be associated with a cell. For example, it is expected that coverage related measurements may include reference signal reception power, reference signal reception quality, reference signal strength indication, and / or user equipment transmission power. The computing component 550 may also be configured to perform averaging of cell geometry, path loss in cells, and / or signal to noise ratio requirements of user equipment. In another aspect, the calculation component 550 is further configured to calculate an interference coefficient associated with at least one neighboring cell.

  It is noted here that the coverage report provided by the calculation component 550 relates to the coverage provided by the at least one cell. For example, at least one cell may be a serving cell, a neighbor cell, and / or an extended neighbor cell. Here, for the enhanced neighbor cells, the coverage report can be configured by the network entity (eg, radio resource controller) to include coverage information associated with the particular set of enhanced neighbor cells. For example, the network entity may require that the coverage report be obtained based on the coverage related measurements for the set of expanded neighboring cells that are within a threshold number of hops from the serving cell.

  [0058] In a further aspect, coverage reports generated by computing component 550 may be disseminated to external entities. For example, communication component 530 may be further configured to communicate coverage reports to a base station. In particular aspects, the coverage report is included in a series of coverage reports, wherein the communication component 530 is configured to report the series of coverage reports based on a period. Within such an aspect, this period may be configurable by the network entity. In another aspect, the communication component 530 is configured to communicate a coverage report based on a trigger event (eg, a request for a coverage report) detected by the trigger component 560. Thus, for this aspect, trigger component 560 is configured to detect any number of trigger events including, for example, a request for coverage reporting, a determination as to whether the load in the cell has exceeded a threshold, etc. Be done.

  [0059] Referring now to FIG. 6, illustrated is a system 600 that facilitates distributed coverage optimization, in accordance with an aspect. System 600 can reside, for example, in a base station (eg, eNB, HeNB, etc.). System 600 includes functional blocks that can represent functions implemented by a processor, software, or combination thereof (eg, firmware), wherein system 600 can operate in conjunction with multiple electrical components. And a logical grouping 602 of As illustrated, logical grouping 602 may include an electrical component 610 for establishing communication with at least one external entity. Further, logical grouping 602 may include an electrical component 612 for receiving coverage related measurements from at least one external entity. Logical grouping 602 may also include an electrical component 614 for self-optimizing coverage parameters as a function of coverage related measurements. Additionally, system 600 can include memory 620 that holds instructions for performing the functions associated with electrical components 610, 612, and 614. Although shown as being external to memory 620, it should also be understood that electrical components 610, 612, and 614 may be present in memory 620.

  [0060] Referring now to FIG. 7, a flowchart is provided that illustrates an exemplary method for performing self-optimization in accordance with an aspect. As illustrated, process 700 includes a series of operations that may be performed by a base station (eg, eNB, HeNB, etc.) in accordance with certain aspects herein. For example, process 700 may be implemented by using a processor to execute computer-executable instructions stored in a computer-readable storage medium to implement a series of operations. In another aspect, a computer readable storage medium comprising code for causing at least one computer to perform the operations of process 700 is contemplated.

  [0061] In an aspect, process 700 begins with operation 710 where external entity communication is established. As mentioned above, such communication may be, for example, communication with a wireless terminal or base station. Upon establishing the communication, at act 720, a determination is made as to whether the external entity is a wireless terminal. If the external entity is in fact a wireless terminal, the process 700 proceeds via configuring the wireless terminal in operation 730, where coverage related measurements are subsequently received from the wireless terminal in operation 740. Ru. Otherwise, if the external entity is not a wireless terminal, the process 700 proceeds directly to operation 740 where coverage related measurements are received from non-wireless terminal external entities (eg, eNBs serving neighboring cells). Upon receipt of the coverage related measurements at operation 740, process 700 then ends at operation 750 where self CCO is performed based on the received coverage related measurements.

  [0062] Referring now to FIG. 8, a flowchart is provided that illustrates an exemplary method for disseminating coverage reports. As illustrated, process 800 also includes a series of operations that may be performed by a base station (eg, eNB, HeNB, etc.) in accordance with certain aspects herein. For example, process 800 may be implemented by using a processor to execute computer-executable instructions stored in a computer-readable storage medium to implement a series of operations. In another aspect, a computer readable storage medium comprising code for causing at least one computer to perform the operations of process 800 is contemplated.

  [0063] In an aspect, similar to process 700, process 800 begins at operation 810 with the base station establishing communication with an external entity. Next, at act 820, coverage related measurements are received from an external entity (eg, from a wireless terminal, eNB, HeNB, etc.), and at act 830, a coverage report is generated based on the received coverage related measurements. It is followed by that. Process 800 then proceeds to operation 840 where a determination is made as to whether a triggering event has occurred. Here, it should be noted that detecting a triggering event in operation 840 may include monitoring any of a plurality of triggering events, including, for example, monitoring load on a cell. When a triggering event is actually detected, process 800 ends at operation 860 where a coverage report is communicated to the base station. Otherwise, if no triggering event is detected, the reporting of the coverage report may be based on a predetermined periodicity. For example, in an aspect, the process 800 proceeds to an operation 850 where an elapsed period determination is made. Here, if the time period for communicating the coverage report has elapsed, the process 800 ends at operation 850 with the coverage report being communicated to the base station. Otherwise, if the time period has not yet elapsed, then process 800 loops back to operation 840 where the triggering event is again monitored.

  FIG. 9 illustrates a wireless communication system 900 that facilitates distributed update of a self-organizing network (SON) by operation of distributed update manager 1002 by one or more base stations of system 900. In this case, one or more base stations may be defined as SON.

  In an aspect, for example, system 900 comprises one or more base stations, eg, base stations 922, 924, and / or 926, one or more communication links, eg, links 932, 934, And / or 936 may be a communication network in communication with the core network entity 910. System 900 may include one or more user equipments (UEs), eg, UEs 924, 944, and / or 946. In an aspect, for example, UEs 942, 944, and 946 may be in communication with base stations 922, 924, and 926, respectively. In an additional aspect, each of UEs 942, 944, and 946 may communicate with more than one base station, even if the UE is camped on only one base station. In additional or optional aspects, the network entities 910 may reside on one server or on multiple servers for redundancy in the case of load sharing and / or failure.

  In an aspect, base stations 922, 924, and / or 926 may be small cells. The term "small cell" as used herein refers to cells of relatively lower transmit power and / or smaller coverage area as compared to the transmit power and / or coverage area of the macro cell. Furthermore, the term "small cell" may include but is not limited to femtocells, picocells, access point base stations, home NodeBs, femto access points, or cells such as femtocells. For example, a macro cell may cover a relatively large geographical area, including but not limited to several kilometers in radius. In contrast, small cells, such as picocells, may cover relatively small geographic areas, including but not limited to buildings. Alternatively or additionally, small cells such as femtocells may also cover relatively small geographical areas, including but not limited to one floor of a house or building.

  [0067] In an aspect, an apparatus and method for distributed update of a self-organizing network is disclosed. For example, in one aspect, the apparatus and method may perform distributed updating (eg, distributed coverage and capacity optimization (CCO)) of a self-organizing network, as described in detail above in connection with FIG. It may be directed to the intended information exchange, and / or to the semantics of the information being exchanged, and / or to calculating the information to be exchanged.

  [0068] The CCO effectively manages the trade-off between coverage and capacity to help operators deal with dynamic traffic distribution, design flaws, and real-life network operational constraints. For example, base station radio frequency (RF) parameters play an important role in the capacity and coverage of radio access network (RAN) performance and ultimately in the user's quality of experience (QoE). Because network performance is affected not only by suboptimal planning but also by the dynamic radio environment, the radio parameters have to be dynamically updated or adjusted. To help this, 3GPP has introduced a CCO use case in the network. The CCO identifies coverage holes and advanced overlap and takes corrective action automatically by adjusting the radio control parameters of the base station.

  [0069] In an aspect, the present disclosure provides a method and apparatus for distributed update of a self-organizing network. For example, the base station may update one or more network parameters at the base station based on feedback received from the network entity and local information at the base station. The feedback received at the network entity may be determined at the network entity based on a portion of data transmitted from the one or more base stations to the network entity.

  For example, in an aspect, the feedback received from the network entity at the base station may include a minimum value, a maximum value, or a range of values for one or more network parameters of the base station. For example, the network entity may determine the area of weak coverage and may determine the lower limit (e.g., the minimum value) of the base station's transmit power for the base station to provide adequate coverage. The base station determines one or more network parameters based on the lower limit value received from the network entity and other available local information at the base station to determine the appropriate transmit power for the base station. It can be updated.

  [0071] As illustrated in FIG. 9, system 900 serves UEs 942, 944, and / or 946, respectively, and includes a plurality of distributed update managers 1002, each to perform the functions described herein. Base stations 922, 924, and / or 926. For example, in an aspect, distributed update manager 1002 may be configured to exchange information between base stations 922, 924, and / or 926 for CCO purposes. In an aspect, base stations 922, 924, and / or 926 exchange information directly about long-term coverage statistics in the cell in which they operate. In such an aspect, the statistics may be wireless terminal 942 connected to the cell being operated by base station 922, 924, and / or 926 and / or by base station 922, 924, and / or 926. , 944, and / or reflect the measurements collected by 946.

  [0072] For example, in the aspect related to information exchange, the distributed update manager 1002 transmits information to a base station using a standardized protocol such as X2 AP (3GPP TS 36.423) or S1 AP (3GPP TS 36.421). It may be included in specific messages (eg, CSI-coverage statistics, which is a generic term used herein) to be exchanged between. In an aspect, the distributed update manager 1002 is triggered, for example, periodically (in this case, the time period may be configurable by the network operator), per request by the base station, and / or by a particular configurable event. When done (eg, when the load in the base station or cell exceeds a certain threshold, etc.), information may be exchanged via any of several mechanisms.

  [0073] It should be noted that, in an aspect, in conjunction with the semantics, distributed update manager 1002 causes the base station to exchange coverage related statistics reflecting any of a plurality of characteristics. For example, in an aspect, such statistics may include downlink / uplink coverage quality in the cell, received downlink / uplink power, received downlink / uplink interference power, received downlink interference power from a particular neighbor , UE transmit power level, cell geometry, and / or path loss in the cell may be reflected.

  [0074] In a further aspect, the distributed update manager 1002 may calculate coverage related statistics using internal base station measurements and / or UE measurement report messages (MRM), where these statistics are calculated. The time scale taken can be set by the network operator. For example, in an aspect, the coverage related statistics may include any of multiple variations, including, for example, one or more of UE geographic distribution, serving cell and neighbor cell loading, and / or variations in UE mobility patterns. It may be calculated over a sufficiently long time period to cover.

  [0075] In an aspect, each distributed update manager 1002 may include a standardization mechanism to calculate coverage statistics exchanged between base stations. For example, the definition of each statistic to be exchanged may be standardized. In alternative or additional aspects, however, methods for calculating one or more coverage statistics will not be standardized. For example, in an aspect, the average cell geometry may be defined as a number between 0 and 1, where lower numbers are associated with lower geometries. For this aspect, then, through the operation of the distributed update manager 1002, the base station can simply indicate its average geometry as 0.5 without showing how it is calculated. Similarly, the base station operating cell "i" may be notified of an interference factor ICi, j representing the level of interference received from cell j in cell i without showing how it is calculated. (For example, ICi, j = 0.5). In this case, what can be standardized is the semantics (eg, meaning) of each statistic and its range (eg, 0 to 1).

  For example, as described above, a base station operating distributed update manager 1002 may calculate coverage statistics from internal measurements and / or UE MRMs. Additionally, the base station operating distributed update manager 1002 may configure the UEs served by that base station to collect and report measurements of signal quality. In an aspect, the UE may measure and report signal quality of neighboring cells as well as the serving cell. For example, the base station may receive the reference signal reception power (RSRP) level of the serving cell and / or the neighboring cell, the reference signal reception quality (RSRQ) level of the serving cell and / or the neighboring cell, a radio signal strength indicator (RSSI) level, UE transmission power The UE may be configured to measure and report one or more of the levels and other measurements specified by a particular protocol (eg, 3GPP TS 36.423). Additionally, it should be noted that the measurement report can be configured as periodic and / or triggered.

  [0077] Referring to FIG. 10, an example distributed update manager 1002 in aspects of the present disclosure is illustrated.

  [0078] In an aspect, distributed update manager 1002 can be configured for distributed update of a self-organizing network. For example, in an aspect, each of the base stations 922, 924, and / or 926 may be configured to include a distributed update manager 1002. In additional aspects, distributed update manager 1002 (of base stations 922, 924, and / or 926) is configured to further include data transmission component 1004, feedback reception component 1006, and / or parameter update component 1008. It can be done.

  [0079] In an aspect, data transmission component 1004 may be configured to transmit data collected at a base station to a network entity. For example, data transmission component 1004 may include or interface with a transceiver or transmitter, and / or may include software or firmware executed by a processor, and / or a specially programmed processor module May be included. For example, in an aspect, the data transmission component 1004 may be configured to transmit data collected at the base station 922 to the network entity 910. In an additional aspect, data transmission component 1004 may be configured to transmit data collected at base station 924 and / or 926 to network entity 910. As discussed above in connection with FIG. 9, data collected at base station 922, 924, and / or 926 may include internal measurements at the base station and / or coverage statistics from MRM received from the UE. .

  For example, in an aspect, data collected at a base station may be received at a base station from user equipment (UE) that may be in communication with the base station, eg, UEs 942, 944, and / or 946. . In additional aspects, the base station may be a small cell or macro cell, and / or a combination of both. In an additional exemplary aspect, network entity 910 may include a central server that receives data transmitted from base stations in a self-organizing network.

  [0081] In an aspect, data received from a UE in communication with a base station may include thousands of signal reports. In an alternative or additional aspect, data from one or more neighboring base stations is received, wherein the data received at one base station is received from a UE in communication with one or more neighboring base stations. It should be noted that it can be included. In an aspect, the base station may consolidate data (eg, signaling reports) received from the UE and transmit at least a portion of the data to the network entity 910, eg, a central server. In an additional aspect, for example, the base station generates a representation of data, aggregation, or mathematical functions, eg, signaling information received from the UE and / or neighboring base stations, an average value, and the data , Aggregations, or mathematical functions may be sent to the network entity 910. For example, this may allow network entities to have network wide views instead of localized or restricted views maintained by the base station in SON. For example, in one aspect, the network wide view maintained by the network entity 910 is data on the order of 15 minutes and / or up to a maximum of 24 hours, and its duration is configurable, for example, by the network operator at the network entity 910 is there.

  [0082] In an aspect, the feedback receiving component 1006 may be configured to receive feedback from the network entity related to the network parameter (s) of the base station, where it is received from the network entity The feedback is determined at the network entity based on data transmitted from the one or more base stations to the network entity. In an aspect, network entity 910 may determine feedback for a base station (eg, 922) based on data transmitted from the base station (eg, 922) to the network entity. In additional aspects, the network entity may also consider data received from other base stations (eg, 924 and / or 926) to determine feedback regarding the base station. For example, in an aspect, the feedback receiving component 1006 may include or interface with a transceiver or receiver, and / or may include software or firmware executed by a processor, and / or specifically program May include a processor module. For example, in an aspect, feedback received from network entity 910 may relate to one or more network parameters of a base station, eg, base station 922. In an example aspect, the network parameters may include one or more of a base station transmit power, an antenna down tilt at the base station, and a frequency reuse factor at the base station.

  [0083] For example, in an aspect, the network entity 910 performs coverage gap in a self-organizing network (MDT) according to a Drive Test Minimization (MDT) procedure defined in 3GPP standards based on data transmitted by a base station. (coverage gaps) can be identified. In an additional aspect, the network entity 910 may determine a minimum threshold for network parameters of the base station and transmit the minimum threshold to the base station. For example, in an aspect, the base station 922 may receive feedback from the network entity 910 to update the base station's transmit power to a minimum value (eg, 200 mW) to address this coverage gap. In an optional or additional aspect, base station 922 may update the transmit power of base station 922 above the minimum threshold received from network entity 910.

  [0084] In an aspect, the parameter updating component 1008 is configured to update one or more network parameters at the base station based at least on feedback received from the network entity and local information at the base station. It can be done. For example, parameter update component 1008 may include or interface with a processor, and / or may include software or firmware executed by a processor, and / or may include a specially programmed processor module . For example, in some aspects, the parameter update component 1008 may perform one or more network parameters at the base station 922 based at least on feedback received from the network entity 910 and local information available at the base station 922. It may be configured to update (eg, base station transmit power, antenna downtilt, and / or frequency reuse factor).

  For example, base station 922 is locally available at base station 922 locally through the operation of parameter update component 1008, as not all data available at the base station is being transmitted to network entity 910. Based on possible additional data, the transmit power of base station 922 may be updated to mitigate any bandwidth and / or processing power concerns at the base station and / or network entities.

  In an aspect, local information may include pilot contamination information at a base station. For example, the pilot contamination information may include the number of UEs reporting multiple strong interference sources (e.g., about 5 dB or relatively stronger than a configurable threshold, for example, as compared to serving cell 922). In additional aspects, the local information may include the number of call failures and / or handover failures measured at the serving base station. For example, if the number of call failures and / or handover failures at base station 922 is high (eg, above a configurable threshold), the cause of the call failures and / or handover failures may be from available local information The power at the base station (eg, base station 922) may be reduced if the cause of the call failure and / or handover failure may be due to increased interference, which may be determined. In an optional aspect, the power of the base station (e.g., base station 922) is not reduced if another base station meeting the serving cell selection criteria is not available.

  [0087] In an aspect, when there are multiple base stations, eg, small cells, in a small coverage area of SON, to reduce interference and / or improve the SINR value, among the small cells of SON, Only a few of them transmit at their maximum power, and the rest of the SON's small cells transmit at lower power (but above the minimum threshold received from the network entity). Is desired. In an additional aspect, when the base station, eg, a small cell, receives a minimum threshold for network parameters from the network entity, the small cell may further optimize additional parameters, eg, SINR and / or throughput capacity. The parameter update component 1008 may operate, which ultimately leads to a better user experience.

  For example, in an aspect, when the antenna of a base station, eg, base station 922, is tilted downward, the base station may create a strong beam and may localize coverage in that area. However, the entire coverage area of the base station may be reduced. Alternatively, the base station coverage area may be more advanced if the antenna of the base station, eg, base station 922, is high-tiled or tilted towards the horizon. However, this may result in increased interference with other base stations and / or UEs. For example, a base station, eg, base station 922, may receive feedback including a minimum value for the antenna downtilt parameter, and a base station operating parameter update component 1008 may be locally available at the base station. Based on the additional data, the downtilt parameter may be updated to a value greater than or equal to the minimum value.

  [0089] In another example aspect, a base station, eg, base station 922, may receive feedback from network entity 910 that includes a minimum frequency reuse parameter, which may include a frequency reuse factor. In this case, the base station may operate the parameter update component 1008 to update the frequency reuse factor by more than the minimum frequency reuse factor based on the information available locally at the base station.

  [0090] In an additional aspect, the feedback including frequency reuse parameters may include a partial frequency reuse (FFR) configuration, which is an assignment of specific prioritized frequency blocks at different base stations. Can be further included. In an additional aspect, soft FFR may include assignment of specific priority frequency blocks at different base stations, where each priority block at the base station has a different transmit power constraint. For example, a higher FFR factor may result in better coverage at the base station, but the base station must consider a higher interference factor with a higher reuse factor and choose a value that balances both .

  [0091] In an additional aspect, when the base station receives feedback including a value range for network parameters, the range may be an upper and / or lower limit for the frequency reuse factor, a number of preferred frequency blocks for FFR, or It may include constraints on the ordered list of preferred frequency blocks and / or constraints on transmit power levels specific to the frequency block.

  [0092] In an additional aspect, for example, SINR, data rate, traffic conditions, specific location of the UE (eg, close to the center or close to the end of the base station) are known locally at the base station, And / or may be taken into account in operating the parameter update component 1008 to update network parameters at the base station for distributed update of the self-organizing network.

  [0093] In an additional aspect, the feedback received from the network entity to change one or more network parameters at one or more base stations may be defined in terms of a minimum for simplicity. However, the feedback received from the network entity may include maximum values and / or value ranges for the respective network parameters.

  FIG. 11 illustrates an example methodology 1100 for distributed update of self-organizing networks. In an aspect, at block 1102, the methodology 1100 can include transmitting a portion of the data collected at the base station to the network entity via a transmitting component of the base station, where the collecting at the base station is performed. The received data is received by the base station from one or more user equipments (UEs) in communication with one or more base stations, which is one of the one or more base stations. It is one. For example, in an aspect, the base stations 922, 924, and / or 926 operate the distributed update manager 1002 and / or the data transmission component 1004 to transmit the data collected at the base station to the network entity 910. obtain.

  Further, at block 1104, the methodology 1100 may include receiving from the network entity feedback related to one or more network parameters of the base station, wherein the feedback received from the network entity is , Determined at the network entity based at least in part on data transmitted from the one or more base stations to the network entity. For example, in an aspect, the base stations 922, 924, and / or 926 may use the distributed update manager 1002 and / or the network to receive feedback from the network entity 910 related to one or more network parameters of the base station. The feedback receiving component 1006 may operate. In an aspect, for example, the network parameters may include base station transmit power, base station antenna downtilt, and / or base station frequency reuse factor.

  Further, at block 1106, the methodology 1100 may include updating one or more network parameters at the base station based on the feedback received from the network entity and local information at the base station. For example, in an aspect, the base station 922, 924, and / or 926 updates one or more network parameters at the base station based on feedback received from the network entity and local information at the base station. Distributed update manager 1002 and / or feedback update component 1008 to operate.

  [0097] Referring to FIG. 12, an exemplary system 1200 is displayed for distributed update of a self-organizing network. For example, system 1200 can reside, at least in part, in a base station, eg, base stations 922, 924, and / or 926 (FIG. 9). It should be appreciated that system 1200 is depicted as including functional blocks that may be functional blocks that represent functions implemented by a processor, software, or combination thereof (eg, firmware). System 1200 includes a logical grouping 1202 of electrical components that can act in conjunction. In an aspect, the logical grouping 1202 can include an electrical component 1204 for transmitting to the network entity a portion of the data collected at the base station, wherein the data collected at the base station is , Received by the base station from one or more user equipments (UEs) in communication with one or more base stations, the base station being one of the one or more base stations. In an aspect, electrical component 1204 may comprise data transmission component 1004 (FIG. 10).

  Further, logical grouping 1202 can include an electrical component 1206 for receiving feedback from the network entity related to one or more network parameters of the base station, where the network entity The feedback received from is determined at the network entity based at least in part on data transmitted from the one or more base stations to the network entity. For example, in an aspect, the electrical component 1206 may comprise a feedback receiving component 1006 (FIG. 10).

  Further, logical grouping 1202 can be an electrical component 1208 for updating one or more network parameters at the base station based on feedback received from the network entity and local information at the base station. Can be included. For example, in an aspect, electrical component 1208 may comprise parameter update component 1008 (FIG. 10).

  [00100] In addition, system 1200 can be used by or by electrical components 1204, 1206, and 1208 to hold instructions for performing functions associated with electrical components 1204, 1206, and 1208. A memory 1210 may be included that stores, etc., the data to be obtained. While shown as being external to memory 1210, it should also be understood that one or more of electrical components 1204, 1206, and 1208 may be present in memory 1210. In one example, electrical components 1204, 1206, and 1208 may comprise at least one processor, or each electrical component 1204, 1206, and 1208 may be a corresponding module of at least one processor. possible. Further, in additional or alternative examples, electrical components 1204, 1206, and 1208 may be computer program products including computer readable media, where each electrical component 1204, 1206, and 1208 , May be the corresponding code.

  [00101] Referring now to FIG. 13, an exemplary network is provided that facilitates distributed update of a self-organizing network. As illustrated, network 1300 is serviced by base stations 1312, 1322, 1332, 1342, 1352, 1362, 1372, which may be base stations 922, 924, and / or 926, which may operate distributed update manager 1002, respectively. And a plurality of cells 1310, 1320, 1330, 1340, 1350, 1360, 1370. In an aspect, the coverage statistics ascertained by any of the base stations 1312, 1322, 1332, 1342, 1352, 1362, 1372 analyze the MRM provided by any of the wireless terminals 1380, 1382, 1384, 1386. Calculated by For example, the statistics calculated by the eNB and exchanged with other eNBs may be a direct aggregation of the measurements reported by the UE in the MRM. For example, such calculations may include: serving cell average / maximum / minimum reporting RSRP / RSRQ / RSSI, each adjacent average / maximum / minimum reporting RSRP / RSRQ / RSSI, and / or UE average / maximum / minimum It may include transmission power.

[00102] In a further aspect, statistics calculated by the eNB and exchanged with other eNBs may also be obtained by further analysis of the MRM. For this particular aspect, such calculations may reflect, for example, average cell geometry, average path loss in the cell, average signal to noise ratio requirements of UEs in the cell, and / or interference coefficients for each neighbor. . Exemplary calculations of such parameters may include the following:

  [00103] Referring now to FIG. 14, cell I 1402, cell M 1404, may be served by base stations I and M, which may be base stations 922, 924, and / or 926, respectively, which may operate distributed update manager 1002. An example communication system 1400 is provided, implemented in accordance with various aspects including multiple cells. Here, as shown by the cell boundary area 1468, adjacent cells 1402, 1404 overlap slightly, thereby causing potential signal interference between the signals transmitted by the base stations in those adjacent cells. It should be noted that Each cell 1402, 1404 of system 1400 includes three sectors. Cells not divided into multiple sectors (N = 1), cells with two sectors (N = 2), cells with four or more sectors (N> 3) are also possible according to various aspects is there. Cell 1402 includes a first sector, sector I 1414, a second sector, sector II 1412, and a third sector, sector III 1414. Each sector 1414, 1412, and 1414 has two sector boundary areas, and each boundary area is shared between two adjacent sectors.

  [00104] Sector boundary regions provide the possibility of signal interference between signals transmitted by base stations in adjacent sectors. Line 1416 represents the sector boundary area between sector I 1414 and sector II 1412, line 1418 represents the sector boundary area between sector II 1412 and sector III 1414, and line 1420 represents sector III 1414 and sector I represents the sector boundary region between I 1414. Similarly, cell M 1404 includes a first sector, sector I 1422, a second sector, sector II 1424, and a third sector, sector III 1426. Line 1428 represents the sector boundary area between sector I 1422 and sector II 1424, line 1430 represents the sector boundary area between sector II 1424 and sector III 1426, and line 1432 represents sector III 1426 and It represents the boundary area between sector I 1422. The cell I 1402 includes one base station (BS), the base station I 1406, and a plurality of end nodes (EN) in each sector 1414, 1412, 1414. Sector I 1414 includes EN (1) 1436 and EN (X) 1438 coupled to BS 1406 via wireless links 1440 and 1442, respectively, and sector II 1412 couples to BS 1406 via wireless links 1448 and 1450, respectively. , And sector III 1414 is coupled to BS 1406 via wireless links 1456 and 1458, respectively, and includes EN (1 ′) 1452 and EN (X ′ ′). ) Including 1454. Similarly, cell M 1404 includes one base station M 1408 and a plurality of end nodes (ENs) in each sector 1422, 1424, 1426. Sector I 1422 includes EN (1) 1436 'and EN (X) 1438' coupled to BS M 1408 via wireless links 1440 'and 1442', respectively, and sector II 1424 is wireless link 1448 ', respectively. Sector 1 1426 includes EN (1 ′) 1444 ′ and EN (X ′) 1446 ′ coupled to BS M 1408 via 1450 ′, and sector 3 1426 is coupled to BS 1408 via wireless links 1456 ′ and 1458 ′, respectively And EN (1 ′ ′) 1452 ′ and EN (X ′ ′) 1454 ′.

  [00105] System 1400 further includes network node 1460 coupled to BS I 1406 and BS M 1408 via network links 1462, 1464, respectively. Network node 1460 may be coupled to other network nodes, eg, other base stations, AAA server nodes, intermediate nodes, routers, etc., and the Internet via network link 1466. Network links 1462, 1464, 1466 may be, for example, fiber optic cables. Each end node, eg, EN1 1436, may be a wireless terminal including a transmitter and a receiver. A wireless terminal, eg, EN (1) 1436, may move through system 1400 and may communicate via wireless links with a base station in the cell in which the EN is currently located. A wireless terminal (WT), eg, EN (1) 1436, via a peer node, eg, another WT in or outside system 1400, a base station, eg, BS 1406, and / or via network node 1460. Can communicate. The WT, eg, EN (1) 1436, may be a mobile communication device such as a mobile phone, a personal digital assistant with a wireless modem, and so on. Each base station allocates tones and uses a different method for strip symbol periods than the method used to determine tone hopping in the remaining symbol periods, eg, non-strip symbol periods, tone subsets Allocate. The wireless terminal uses the tone subset allocation method in conjunction with information received from the base station, eg, base station slope ID, sector ID information, to receive data and information in particular strip symbol periods. Determine the tones that can be used. Tone subset allocation sequences may be constructed in accordance with various aspects to spread intra-sector and intra-cell interference across respective tones. Although the subject system is primarily described in the context of cellular modes, it should be appreciated that multiple modes may be available and may be used in accordance with the aspects described herein. It is.

  [00106] FIG. 15 illustrates an example base station 1500, which can be a base station 922, 924, and / or 926, which may operate the distributed update manager 1002, in accordance with various aspects. Base station 1500 implements a tone subset allocation sequence, and different tone subset allocation sequences are generated for each different sector type of cell. Base station 1500 may be used as any one of base stations 1322, 1324, and / or 1326 of system 900 of FIG. 9 and / or base stations 1406 and / or 1408 of system 1400 of FIG. obtain. Base station 1500 is coupled to receiver 1502, transmitter 1504, processor 1506, eg, a CPU, input / outputs 1501, 1504, 1506, 1508, and 1510 coupled together by a bus 1509 that may exchange data and information. An output interface 1508 and a memory 1510 are included.

  [00107] A sectorized antenna 1503 coupled to receiver 1502 is used to receive data and other signals, eg, channel reports, from wireless terminal transmissions from each sector in the cell of the base station. A sectorized antenna 1505 coupled to transmitter 1504 transmits data and other signals, eg, control signals, pilot signals, beacon signals, etc., to wireless terminal 1200 within each sector of the cell of the base station (see FIG. 12). Used to send to. In various aspects, the base station 1500 may employ multiple receivers 1502 and multiple transmitters 1504, eg, individual receivers 1502 for each sector and individual transmitters 1504 for each sector. The processor 1506 may be, for example, a general purpose central processing unit (CPU). Processor 1506 controls the operation of base station 1500 and implements methods under the direction of one or more routines 1518 stored in memory 1510. I / O interface 1508 provides connectivity to other network nodes and couples BS 1500 to other base stations, access routers, AAA server nodes, etc., other networks, and the Internet. Memory 1510 includes routines 1518 and data / information 1520.

  Data / information 1520 includes data 1536, tone subset allocation sequence information 1538 including downlink strip symbol time information 1540 and downlink tone information 1542, wireless terminal (WT) 1 information 1546 and WT N information 1560, etc. And WT data / information 1544 including multiple sets of WT information. Each set of WT information, eg, WT1 information 1546, includes data 1548, terminal ID 1550, sector ID 1552, uplink channel information 1554, downlink channel information 1556, and mode information 1558.

  Routines 1518 include communications routines 1522 and base station control routines 1524. Base station control routines 1524 may include scheduler module 1526, tone subset allocation routine 1530 for strip symbol periods, other downlink tone allocation hopping routines 1532 for remaining symbol periods, eg, non-strip symbol periods, and beacon routines 1534. And a signaling routine 1528.

  Data 1536 is processed through the data to be transmitted and the decoder 1512 of receiver 1502 following reception, which will be sent to encoder 1514 of transmitter 1504 for encoding prior to transmission to the WT. And received data from the WT. Downlink strip symbol time information 1540 may be frame synchronization structure information such as superslots, beacon slots, ultraslot structure information, and whether a given symbol period is a strip symbol period, if so. It contains the index of the symbol period and information identifying whether this strip symbol is a reconfiguration point to truncate the tone subset allocation sequence used by the base station. Downlink tone information 1542 includes the carrier frequency assigned to base station 1500, the number and frequency of tones, the set of tone subsets assigned to strip symbol periods, and other cells such as slope, slope index, and sector type. And information including sector specific values.

  [00111] Data 1548 may include data received by WT1 1200 from a peer node, data that WT1 1200 desires to be transmitted to a peer node, and downlink channel quality report feedback information. Terminal ID 1550 is a base station 1500 assignment ID that identifies WT1 1200. Sector ID 1552 includes information identifying the sector in which WT1 1200 is operating. Sector ID 1552 may be used, for example, to determine the sector type. Uplink channel information 1554 is a channel segment that is allocated by scheduler 1526 for use by WT1 1200, eg, uplink traffic channel segment for data, dedicated uplink control channel for request, power control, timing Including information identifying the control, etc. Each uplink channel assigned to WT1 1200 includes one or more logical tones, and each logical tone follows an uplink hopping sequence. Downlink channel information 1556 includes information identifying channel segments that have been allocated by scheduler 1526 to convey data and / or information to WT1 1200, eg, downlink traffic channel segments for user data. Each downlink channel assigned to WT1 1200 includes one or more logical tones, each following a downlink hopping sequence. Mode information 1558 includes information identifying the state of operation of WT1 1200, eg, sleep, hold, on.

  Communication routines 1522 perform various communication operations and control base station 1500 to implement various communication protocols. The base station control routine 1524 may, for example, perform basic base station function tasks such as signal generation and reception, scheduling, and transmit signals to wireless terminals using tone subset allocation sequences during strip symbol periods. Are used to control the base station 1500 to implement the method steps of some aspects, including

  Signaling routine 1528 controls the operation of receiver 1502 with decoder 1512 and the operation of transmitter 1504 with encoder 1514. Signaling routines 1528 are responsible for controlling the generation of the transmitted data 1536 and control information. The tone subset allocation routine 1530 constructs tone subsets to be used in a strip symbol period using the method of the aspect and using data / information 1520 including downlink strip symbol time information 1540 and sector ID 1552 Do. The downlink tone subset allocation sequence will be different for each sector type in the cell and will be different for neighboring cells. WT 1200 receives signals in strip symbol periods according to the downlink tone subset allocation sequence, and base station 1500 uses the same downlink tone subset allocation sequence to generate the transmitted signal. Another downlink tone allocation hopping routine 1532 constructs a downlink tone hopping sequence using information including downlink tone information 1542 and downlink channel information 1556 for symbol periods other than strip symbol periods. The downlink data tone hopping sequence is synchronized across multiple sectors of the cell. Beacon routine 1534 may be used, for example, for synchronization purposes such as to synchronize the frame timing structure of the downlink signal and thus the tone subset allocation sequence to the ultraslot boundary, eg, a relatively high power signal of 1 Control the transmission of beacon signals such as those concentrated on one or a few tones.

  [00114] FIG. 16 is a wireless view of the system 1400 shown in FIG. An exemplary wireless terminal (end node) 1600 that may be used as any one of the terminals (end nodes), eg, EN (1) 1436, is illustrated. In an aspect, EN (1) 1436 may be UE 1342, 1344 and / or 1346. Wireless terminal 1600 implements a tone subset allocation sequence. The wireless terminal 1600 includes a receiver 1602 that includes a decoder 1616, a transmitter 1604, a processor 1606 that includes an encoder 1614, a processor 1606, and a memory 1608, which various elements 1602, 1604, 1606, and 1608 exchange data and information. Can be coupled together by a bus 1610. An antenna 1603 used to receive signals, eg, from a base station (and / or a disparate wireless terminal), is coupled to a receiver 1602. An antenna 1605 used to transmit signals, eg, to a base station (and / or a disparate wireless terminal) is coupled to a transmitter 1604.

  [00115] A processor 1606, eg, a CPU, controls the operation of the wireless terminal 1600 and implements the method by executing the routine 1620 and using data / information 1622 in the memory 1608.

  Data / information 1622 includes user data 1634, user information 1636, and tone subset allocation sequence information 1650. User data 1634 may be routed to an encoder 1614 for encoding prior to transmission by a transmitter 1604 to a base station, data directed to a peer node and processed by a decoder 1616 in a receiver 1602 , Data received from the base station. The user information 1636 includes uplink channel information 1638, downlink channel information 1640, terminal ID information 1642, base station ID information 1644, sector ID information 1646, and mode information 1648. Uplink channel information 1638 includes information identifying uplink channel segments that have been assigned by the base station to wireless terminal 1600 for use when transmitting to the base station. The uplink channels may include uplink traffic channels, dedicated uplink control channels, eg, request channels, power control channels, and timing control channels. Each uplink channel includes one or more logical tones, each logical tone following an uplink tone hopping sequence. The uplink hopping sequence is different between each sector type of cell and between adjacent cells. Downlink channel information 1640 includes information identifying downlink channel segments assigned to WT 1600 by the base station for use when the base station transmits data / information to WT 1600. The downlink channels may include downlink traffic channels and assignment channels, and each downlink channel may include one or more logical tones, each logical tone being synchronized between each sector of the cell. Obey.

  [00117] User information 1636 is also terminal ID information 1642 that is base station assignment identification information, base station ID information 1644 identifying a specific base station with which WT has established communication, and a cell in which WT 1600 is currently located. Sector ID information 1646 identifying a particular sector is included. Base station ID 1644 provides cell slope values, and sector ID information 1646 provides sector index types. Cell slope values and sector index types may be used to derive tone hopping sequences. Similarly, mode information 1648 included in user information 1636 identifies whether the WT 1600 is in sleep mode, hold mode, or on mode.

  Tone subset allocation sequence information 1650 includes downlink strip symbol time information 1652 and downlink tone information 1654. Downlink strip symbol time information 1652 is frame synchronization structure information such as super slot, beacon slot, ultra slot structure information and whether a given symbol period is a strip symbol period, if so, this strip symbol It includes an index of the time period and information specifying whether this strip symbol is a reconfiguration point to truncate the tone subset allocation sequence used by the base station. Downlink tone information 1654 includes the carrier frequency assigned to the base station, the number and frequency of tones, the set of tone subsets assigned to strip symbol periods, and other cells and such as slope, slope index, and sector type. It contains information including sector specific values.

  Routines 1620 include communications routines 1624 and wireless terminal control routines 1626. Communications routines 1624 control the various communications protocols used by the WT 1600. Wireless terminal control routine 1626 controls basic wireless terminal 1600 functionality, including control of receiver 1602 and transmitter 1604. Wireless terminal control routines 1626 include signaling routines 1628. The signaling routine 1628 includes a tone subset allocation routine 1630 for strip symbol periods and may include other downlink tone allocation hopping routines 1632 for remaining symbol periods, eg, non-strip symbol periods. The tone subset allocation routine 1630 generates a downlink tone subset allocation sequence according to some aspects, downlink channel information 1640, base station ID information 1644, to process received data transmitted from a base station. For example, user data / information 1622 including slope index and sector type, and downlink tone information 1654 is used. Another downlink tone allocation hopping routine 1630 constructs a downlink tone hopping sequence using information including downlink tone information 1650 and downlink channel information 1640 for symbol periods other than strip symbol periods. The tone subset allocation routine 1630, when executed by the processor 1606, is used to determine when and on which tone the wireless terminal 1600 should receive one or more strip symbol signals from the base station 1100. The uplink tone allocation hopping routine 1630 uses the tone subset allocation function with the information received from the base station to determine the tones that it should transmit.

  [00120] In one or more exemplary aspects, the functions described may be implemented in hardware, software, firmware, or any combination thereof. When implemented in software, these functions can be stored or transmitted as one or more instructions or code on a computer readable medium. Computer-readable media includes both computer communication media and computer storage media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a computer. By way of example and not limitation, such computer readable media may be RAM, ROM, EEPROM®, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage device, or data structure or It may comprise any other medium that can be used to store or convey the desired program code in the form of instructions and can be accessed by a computer. Also, any connection is properly termed a computer-readable medium. For example, software may use wireless technologies such as coaxial cable, fiber optic cable, twisted pair, digital subscriber line (DSL), or infrared, radio waves, and microwaves from websites, servers, or other remote sources. When transmitted, wireless technologies such as coaxial cable, fiber optic cable, twisted pair, DSL, or infrared, radio and microwave are included in the definition of medium. As used herein, discs and discs are compact discs (CDs), laser discs (registered trademark), optical discs, digital versatile discs (DVDs), floppy discs, And Blu-ray Disc, the disc normally reproduces data magnetically, and the disc reproduces data optically using a laser. Combinations of the above should also be included within the scope of computer readable media.

  [00121] When these aspects are implemented in program code or code segments, the code segments may be procedures, functions, subprograms, programs, routines, subroutines, modules, software packages, classes, or instructions, data structures, or It should be appreciated that any combination of program statements may be represented. A code segment may be coupled to another code segment or hardware circuit by passing and / or receiving information, data, arguments, parameters, or memory content. Information, arguments, parameters, data, etc. may be passed, forwarded, or transmitted using any suitable means including memory sharing, message passing, token passing, network transmission, etc. Additionally, in some aspects, one or any of the code and / or instructions on the machine-readable medium and / or the computer-readable medium, wherein the steps and / or actions of the method or algorithm may be incorporated into a computer program product May exist as a combination or as a set.

  [00122] For a software implementation, the techniques described herein may be implemented with modules (eg, procedures, functions, etc.) that perform the functions described herein. The software codes may be stored in a memory unit and executed by a processor. The memory unit may be implemented within the processor or external to the processor, and in the latter case it may be communicatively coupled to the processor via various means known in the art.

  [00123] For a hardware implementation, the processing unit may be one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), It may be implemented in a field programmable gate array (FPGA), processor, controller, microcontroller, microprocessor, other electronic unit designed to perform the functions described herein, or a combination thereof.

  [00124] What has been described above includes examples of one or more aspects. Of course, it is not possible to describe every combination that can achieve the components or methodology for the purpose of describing the above aspects, and one of ordinary skill in the art is capable of many further combinations or permutations of the various aspects. Will recognize that. Accordingly, the described aspects are intended to embrace all such alternatives, modifications and variations that fall within the spirit and scope of the appended claims. Further, to the extent that the term "comprise" is used in the detailed description or in any of the claims, such term "comprising" when used in the claims is to be interpreted as a transition word. As such, it is intended to be generic in a manner similar to the term "comprising."

  [00125] As used herein, the terms "infer" or "inference" generally refer to a system, environment, and / or user's set of observations obtained through events and / or data. Refers to the process of reasoning or inferring about a state. Inference can be employed to identify a specific context or action, or can generate a probability distribution over states, for example. This inference can be probabilistic-that is, the computation of a probability distribution over multiple states of interest based on a consideration of data and events. Inference can also refer to a technique used to construct higher level events from a set of events and / or data. Such inferences have been observed whether events are correlated closely in time, events and data from one event and data source, and some events and data sources It results in the construction of a new event or action from a set of events and / or stored event data.

[00126] Further, as used herein, the terms "component", "module", "system", etc. refer to hardware, firmware, a combination of hardware and software, software, or software in execution. It is intended to refer to computer related entities that are either. For example, a component may be, but is not limited to being, a process running on a processor, a processor, an object, an executable, a thread of execution, a program, and / or a computer. By way of illustration, both an application running on a computing device and the computing device may be components. One or more components can reside in a process and / or thread of execution, and one component can be localized to one computer and / or distributed among two or more computers be able to. In addition, these components can be implemented from various computer readable media having various data structures stored thereon. These components may be, for example, one or more data packets (eg, another component in the local system, another component in the distributed system, and / or the other via a signal across a network such as the Internet) Can communicate via local and / or remote processes according to signals having data from one component interacting with the system of
The invention described in the claims at the beginning of the application of the present application is appended below.
[C1]
A method for distributed update of a self-organizing network, comprising
Transmitting a portion of the data collected at the base station to a network entity via a transmission component of the base station, wherein the data collected at the base station comprises one or more bases Received by the base station from one or more user equipments (UEs) in communication with a station, the base station being one of the one or more base stations;
Receiving feedback from the network entity related to one or more network parameters of the base station, wherein the feedback received from the network entity comprises the feedback from the one or more base stations Determined at the network entity based at least in part on the data sent to the network entity,
Updating the one or more network parameters at the base station based on the feedback received from the network entity and local information at the base station.
How to provide.
[C2]
The method of C1, wherein the one or more network parameters comprise at least one of the base station's transmit power, the base station's antenna downtilt, and a frequency reuse factor.
[C3]
The method according to Cl, wherein the feedback regarding the one or more network parameters comprises at least one of a minimum value, a maximum value, and a range.
[C4]
The minimum value for the one or more network parameters is responsive to detecting a coverage gap in the self-organizing network based at least on a portion of the data transmitted from the one or more base stations. The method according to C3, determined by the network entity.
[C5]
The method of C3, further comprising setting the transmit power of the base station to a value based on the minimum value and data collected from the one or more UEs at the base station.
[C6]
The data collected at the base station may include the number of UEs camped on the base station, the location of the UE camped on the base station, and the one camped on the base station. The method according to C5, comprising one or more of: signal-to-interference and noise ratio (SINR) of multiple UEs and path loss of the one or more UEs to the base station.
[C7]
Updating the one or more network parameters based on the local information at the base station relates to information at the base station regarding one or more of pilot contamination, call failure, and handover failure. The method according to C1, comprising updating the one or more network parameters based on it.
[C8]
An apparatus for distributed updating of a self-organizing network,
Means for transmitting to the network entity a portion of the data collected at the base station, wherein the data collected at the base station is in communication with one or more base stations Or received by the base station from a plurality of user equipments (UEs), the base station being one of the one or more base stations;
Means for receiving feedback from the network entity related to one or more network parameters of the base station, wherein the feedback received from the network entity is the one or more base stations Determined at the network entity based at least in part on the data transmitted to the network entity from
Means for updating the one or more network parameters at the base station based on the feedback received from the network entity and local information at the base station
A device comprising
[C9]
The apparatus of C8, wherein the one or more network parameters comprise at least one of a transmit power of the base station, an antenna downtilt of the base station, and a frequency reuse factor.
[C10]
The apparatus of C8, wherein the feedback regarding the one or more network parameters comprises at least one of a minimum value, a maximum value, and a range.
[C11]
The minimum value for the one or more network parameters is responsive to detecting a coverage gap in the self-organizing network based at least on a portion of the data transmitted from the one or more base stations. The device according to C10, determined by the network entity.
[C12]
The apparatus of C10, further comprising means for setting the base station transmit power to a value based on the minimum value and data collected from the one or more UEs at the base station.
[C13]
The data collected at the base station may include the number of UEs camped on the base station, the location of the UE camped on the base station, and the one camped on the base station. The apparatus according to C12, comprising one or more of: signal to interference and noise ratio (SINR) of a plurality of UEs; and path loss of the one or more UEs to the base station.
[C14]
A computer program product for distributed updating of a self-organizing network,
Transmitting a portion of the data collected at the base station to a network entity via a transmission component of the base station, wherein the data collected at the base station comprises one or more bases Received by the base station from one or more user equipments (UEs) in communication with a station, the base station being one of the one or more base stations;
Receiving feedback from the network entity related to one or more network parameters of the base station, wherein the feedback received from the network entity comprises the feedback from the one or more base stations Determined at the network entity based at least in part on the data sent to the network entity,
Updating the one or more network parameters at the base station based on the feedback received from the network entity and local information at the base station.
A computer program product comprising a non-transitory computer readable medium comprising computer executable code for performing.
[C15]
The computer program product of C14, wherein the one or more network parameters comprise at least one of a transmit power of the base station, an antenna downtilt of the base station, and a frequency reuse factor.
[C16]
The computer program product of C14, wherein the feedback regarding the one or more network parameters comprises at least one of a minimum value, a maximum value, and a range.
[C17]
The minimum value for the one or more network parameters is responsive to detecting a coverage gap in the self-organizing network based at least on a portion of the data transmitted from the one or more base stations. The computer program product according to C16, determined by the network entity.
[C18]
The computer program according to C16, further comprising a code for setting the transmission power of the base station to a value based on the minimum value and data collected from the one or more UEs at the base station Product.
[C19]
The data collected at the base station may include the number of UEs camped on the base station, the location of the UE camped on the base station, and the one camped on the base station. The computer program product of C18, comprising one or more of: signal-to-interference and noise ratio (SINR) of a plurality of UEs; and path loss of the one or more UEs to the base station.
[C20]
An apparatus for distributed updating of a self-organizing network,
A data transmission component for transmitting to the network entity part of the data collected at the base station, wherein the data collected at the base station is in communication with one or more base stations Received by the base station from one or more user equipments (UEs), the base station being one of the one or more base stations;
A feedback receiving component for receiving feedback from the network entity related to one or more network parameters of the base station, wherein the feedback received from the network entity is the one or more Determined at the network entity based at least in part on the data transmitted from the base station to the network entity,
A parameter update component for updating the one or more network parameters at the base station based on the feedback received from the network entity and local information at the base station
A device comprising
[C21]
The parameter update component is configured to update the one or more network parameters including at least one of the base station transmit power, the base station antenna downtilt, and a frequency reuse factor. The device described in C20.
[C22]
The device of C20, wherein the feedback receiving component is configured to receive the feedback including at least one of a minimum value, a maximum value, and a range.
[C23]
The minimum value for the one or more network parameters is responsive to detecting a coverage gap in the self-organizing network based at least on a portion of the data transmitted from the one or more base stations. The device according to C22, determined by the network entity.
[C24]
The parameter updating component is configured to update the transmission power of the base station to a value based on the minimum value and data collected from the one or more UEs at the base station. The device described in C22.
[C25]
The data collected at the base station may include the number of UEs camped on the base station, the location of the UE camped on the base station, and the one camped on the base station. Or the apparatus of C24, comprising one or more of: signal to interference and noise ratio (SINR) of multiple UEs; and path loss of the one or more UEs to the base station.
[C26]
The parameter update component may be configured based on the local information at the base station including information at the base station regarding one or more of pilot contamination, call failure, and handover failure. The device of C20, configured to update network parameters.

Claims (15)

A method for distributed update of a self-organizing network, said method being performed by a base station,
Transmitting a coverage report generated from measurement data collected at the base station to a network entity via a transmitting component of the base station, wherein the measurement data collected at the base station is: Received by the base station from one or more user equipments (UEs) in communication with one or more base stations, the base station being one of the one or more base stations ,
Receiving feedback from the network entity related to one or more network parameters of the base station, wherein the feedback received from the network entity comprises the feedback from the one or more base stations The feedback determined at the network entity and received from the network entity based at least on the coverage report sent to the network entity comprises a minimum of the one or more network parameters,
Updating the one or more network parameters to a value greater than or equal to the minimum value at the base station based on the feedback received from the network entity and local information at the base station; and the local information A comprises at least one of the number of the one or more UEs camping at the base station and the location of the one or more UEs camping on the base station,
How to provide.   The method of claim 1, wherein the one or more network parameters comprise at least one of a transmit power of the base station, an antenna downtilt of the base station, and a frequency reuse factor.   The method of claim 1, wherein the feedback regarding the one or more network parameters further comprises at least one of a maximum and a range of the one or more network parameters.   The minimum value for the one or more network parameters is responsive to detecting a coverage gap in the self-organizing network based at least on the coverage report transmitted from the one or more base stations. The method of claim 1, wherein the method is determined by the network entity.   The method according to claim 2, further comprising setting the transmission power of the base station to a value based on the minimum value and the local information at the base station.   6. The method of claim 5, wherein the measurement data collected at the base station comprises path loss of the one or more UEs to the base station.   Updating the one or more network parameters based on the local information at the base station relates to information at the base station regarding one or more of pilot contamination, call failure, and handover failure. The method of claim 1, comprising updating the one or more network parameters based on it. An apparatus for distributed update of a self-organizing network, said apparatus being provided in a base station,
Means for transmitting to a network entity a coverage report generated from measurement data collected at the base station, wherein the measurement data collected at the base station communicates with one or more base stations Received by the base station from one or more user equipments (UEs) in a state, the base station being one of the one or more base stations;
Means for receiving feedback from the network entity related to one or more network parameters of the base station, wherein the feedback received from the network entity is the one or more base stations The feedback determined at the network entity and received from the network entity based at least on the coverage report sent from the network entity to the network entity comprises a minimum value of the one or more network parameters,
Means for updating the one or more network parameters to a value greater than or equal to the minimum value at the base station based on the feedback received from the network entity and local information at the base station; The local information comprises at least one of the number of the one or more UEs camped at the base station and the location of the one or more UEs camped on the base station ,
A device comprising   The apparatus of claim 8, wherein the one or more network parameters comprise at least one of a transmit power of the base station, an antenna downtilt of the base station, and a frequency reuse factor.   The apparatus of claim 8, wherein the feedback regarding the one or more network parameters further comprises at least one of a maximum and a range of the one or more network parameters.   The minimum value for the one or more network parameters is responsive to detecting a coverage gap in the self-organizing network based at least on the coverage report transmitted from the one or more base stations. The apparatus of claim 8, determined by the network entity.   The apparatus according to claim 9, further comprising means for setting the transmission power of the base station to a value based on the minimum value and the local information at the base station.   The apparatus of claim 12, wherein the measurement data collected at the base station comprises path loss of the one or more UEs to the base station. A computer readable storage medium storing a computer program for distributed updating of a self-organizing network, said computer program comprising
Transmitting a coverage report generated from measurement data collected at a base station to a network entity via a transmission component of the base station, wherein the measurement data collected at the base station is 1 Received by the base station from one or more user equipments (UEs) in communication with one or more base stations, the base station being one of the one or more base stations;
Receiving feedback from the network entity related to one or more network parameters of the base station, wherein the feedback received from the network entity comprises the feedback from the one or more base stations The feedback determined at the network entity and received from the network entity based at least on the coverage report sent to the network entity comprises a minimum of the one or more network parameters,
Updating the one or more network parameters to a value greater than or equal to the minimum value at the base station based on the feedback received from the network entity and local information at the base station; and the local information A comprises at least one of the number of the one or more UEs camping at the base station and the location of the one or more UEs camping on the base station,
Ru comprising executable code by the computer to perform the computer-readable storage medium. 15. The computer readable storage medium of claim 14, wherein the one or more network parameters comprise at least one of a transmit power of the base station, an antenna downtilt of the base station, and a frequency reuse factor.

Images