CN112713919A - Beam configuration method, device, equipment and storage medium - Google Patents
Beam configuration method, device, equipment and storage medium Download PDFInfo
- Publication number
- CN112713919A CN112713919A CN202011568964.8A CN202011568964A CN112713919A CN 112713919 A CN112713919 A CN 112713919A CN 202011568964 A CN202011568964 A CN 202011568964A CN 112713919 A CN112713919 A CN 112713919A
- Authority
- CN
- China
- Prior art keywords
- cell
- proportion
- coverage
- building
- information
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 41
- 230000000877 morphologic effect Effects 0.000 claims abstract description 61
- 238000005259 measurement Methods 0.000 claims abstract description 16
- 238000013507 mapping Methods 0.000 claims abstract description 10
- 238000012545 processing Methods 0.000 claims description 24
- 238000004590 computer program Methods 0.000 claims description 13
- 238000010586 diagram Methods 0.000 description 23
- 238000013461 design Methods 0.000 description 15
- 238000005516 engineering process Methods 0.000 description 10
- 238000004458 analytical method Methods 0.000 description 4
- 238000004891 communication Methods 0.000 description 4
- 230000008569 process Effects 0.000 description 4
- 230000000694 effects Effects 0.000 description 3
- 230000009977 dual effect Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000001228 spectrum Methods 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- 238000007405 data analysis Methods 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/0413—MIMO systems
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B7/00—Radio transmission systems, i.e. using radiation field
- H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
- H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
- H04B7/0408—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas using two or more beams, i.e. beam diversity
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W72/00—Local resource management
- H04W72/04—Wireless resource allocation
- H04W72/044—Wireless resource allocation based on the type of the allocated resource
- H04W72/046—Wireless resource allocation based on the type of the allocated resource the resource being in the space domain, e.g. beams
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
本申请提供一种波束配置方法、装置、设备及存储介质，该方法中，根据预先获取到的全量测量报告，以预设的栅格大小对UE上报的5G能力信息进行栅格化处理，得到每个5G小区的覆盖栅格，并结合3D电子地图，获取每个5G小区覆盖的建筑物的形态特征信息。再根据该形态特征信息，确定5G小区的覆盖场景，基于该覆盖场景，以及该覆盖场景与波束配置模式之间的映射关系，确定出每个5G小区对应的目标波束配置模式，根据每个5G小区对应的目标波束配置模式对5G小区进行波束配置。该方法中，通过结合3D电子地图以及每个5G小区的覆盖栅格，实现了对不同应用场景的波束配置，相较于现有技术，该方案的波束配置效率更高，且配置周期更短。
The present application provides a beam configuration method, device, device and storage medium. In the method, according to a pre-obtained full measurement report, the 5G capability information reported by the UE is rasterized with a preset grid size, and the result is obtained The coverage grid of each 5G cell, combined with the 3D electronic map, obtains the morphological feature information of the buildings covered by each 5G cell. Then according to the morphological feature information, determine the coverage scenario of the 5G cell, and based on the coverage scenario and the mapping relationship between the coverage scenario and the beam configuration mode, determine the target beam configuration mode corresponding to each 5G cell, according to each 5G. The target beam configuration mode corresponding to the cell configures the beam for the 5G cell. In this method, the beam configuration for different application scenarios is realized by combining the 3D electronic map and the coverage grid of each 5G cell. Compared with the prior art, the beam configuration efficiency of this solution is higher and the configuration period is shorter. .
Description
Technical Field
The present application relates to the field of communications technologies, and in particular, to a method, an apparatus, a device, and a storage medium for beam configuration.
Background
With the continuous development of 5G network technology, in order to achieve the maximum coverage efficiency of the wireless base station and thereby improve the service experience of the user communication service, it is necessary to select an appropriate beam configuration parameter in combination with the location of the user communication service.
In the prior art, a beam configuration method mainly performs polling type beam configuration on a cell, and finally selects a beam configuration with the optimal air interface performance as the beam configuration of the cell by comparing cell performance indexes of each type of beam configuration.
However, in practical applications, when polling beam configurations are performed, the time period for acquiring the cell performance index of each beam configuration is long, and the efficiency is low.
Disclosure of Invention
The application provides a beam configuration method, a beam configuration device, a beam configuration equipment and a storage medium, which are used for solving the problems of long configuration time period and low efficiency in beam configuration in the prior art.
In a first aspect, an embodiment of the present application provides a beam configuration method, including:
rasterizing 5G capability information reported by User Equipment (UE) according to a pre-acquired full measurement report by a preset grid size to obtain a coverage grid of each 5G cell;
acquiring morphological feature information of a building covered by each 5G cell based on a 3D electronic map and the coverage grid of each 5G cell;
for each 5G cell, determining a coverage scene of the 5G cell according to morphological feature information of a building covered by the 5G cell;
determining a target beam configuration mode corresponding to each 5G cell according to the coverage scene of each 5G cell and a mapping relation between the coverage scene and the beam configuration mode obtained in advance;
and carrying out beam configuration on the 5G cells according to the target beam configuration mode corresponding to each 5G cell.
In a possible design of the first aspect, the obtaining morphological feature information of the building covered by each 5G cell based on the 3D electronic map and the coverage grid of each 5G cell includes:
acquiring vector information, height information and outline information of a building according to the 3D electronic map;
carrying out contour combination based on contour information of the building and the coverage grid of each 5G cell, and acquiring morphological feature information of the building covered by each 5G cell according to the combined contour information, the vector information and the height information; the form characteristic information of the building comprises longitude and latitude, area and height of the building.
In another possible design of the first aspect, the determining, for each 5G cell, a coverage scenario of the 5G cell according to morphological feature information of a building covered by the 5G cell includes:
for each 5G cell, according to morphological feature information of buildings in the coverage area of the 5G cell, calculating to obtain a first proportion of all buildings in the coverage area of the 5G cell, a second proportion of high-rise buildings in all buildings in the coverage area of the 5G cell, a third proportion of middle-rise buildings in all buildings in the coverage area of the 5G cell and a fourth proportion of low-rise buildings in all buildings in the coverage area of the 5G cell;
and determining the coverage scene of the 5G cell according to the first proportion, the second proportion, the third proportion and the fourth proportion.
In this possible design, the determining the coverage scenario of the 5G cell according to the first ratio, the second ratio, the third ratio, and the fourth ratio includes:
if the first proportion is larger than or equal to a first preset proportion and the second proportion is larger than or equal to the first preset proportion, the coverage scene of the 5G cell is of a high-rise building type;
if the first proportion is greater than or equal to a first preset proportion and the third proportion is greater than or equal to the first preset proportion, the coverage scene of the 5G cell is of a middle-level building type;
if the first proportion is larger than or equal to a first preset proportion and the fourth proportion is larger than or equal to the first preset proportion, the coverage scene of the 5G cell is of a bottom-layer building type;
if the first proportion is between a second preset proportion and a first preset proportion, and the second proportion is greater than or equal to the first preset proportion, the coverage scene of the 5G cell is a square and a high-rise building type;
if the first proportion is between a second preset proportion and a first preset proportion, and the third proportion is greater than or equal to the first preset proportion, the coverage scene of the 5G cell is a square and a middle-level building type;
if the first proportion is between a second preset proportion and a first preset proportion, and the fourth proportion is greater than or equal to the first preset proportion, the coverage scene of the 5G cell is a square and a bottom building type;
and if the first proportion is smaller than or equal to a second preset proportion, the coverage scene of the 5G cell is of a square type.
In yet another possible design of the first aspect, the determining a coverage scenario of the 5G cell according to morphological feature information of a building covered by the 5G cell includes:
if the distance between the 5G cell and the sea area is determined to be smaller than the preset distance according to the morphological characteristic information of the building covered by the 5G cell, the coverage scene of the 5G cell is of a type covering a coastline;
and if the distance between the 5G cell and the traffic trunk is determined to be less than the preset distance according to the morphological characteristic information of the building covered by the 5G cell, the coverage scene of the 5G cell is of a type of covering the traffic trunk.
In a second aspect, the present application provides a beam configuration apparatus, including: a processing module and a determining module;
the processing module is used for rasterizing the 5G capability information reported by the UE according to the pre-acquired full measurement report and the preset grid size to obtain the coverage grid of each 5G cell;
the processing module is further used for acquiring morphological characteristic information of the building covered by each 5G cell based on the 3D electronic map and the coverage grid of each 5G cell;
the determining module is configured to determine, for each 5G cell, a coverage scenario of the 5G cell according to morphological feature information of a building covered by the 5G cell;
the determining module is further configured to determine a target beam configuration mode corresponding to each 5G cell according to the coverage scenario of each 5G cell and a mapping relationship between the coverage scenario and the beam configuration mode, which is obtained in advance;
the determining module is further configured to perform beam configuration on the 5G cell according to a target beam configuration mode corresponding to each 5G cell.
In a possible design of the second aspect, the processing module is configured to obtain morphological feature information of a building covered by each 5G cell based on the 3D electronic map and the coverage grid of each 5G cell, specifically:
the processing module is specifically configured to:
acquiring vector information, height information and outline information of a building according to the 3D electronic map;
carrying out contour combination based on contour information of the building and the coverage grid of each 5G cell, and acquiring morphological feature information of the building covered by each 5G cell according to the combined contour information, the vector information and the height information; the form characteristic information of the building comprises longitude and latitude, area and height of the building.
In another possible design of the second aspect, the determining module is configured to determine, for each 5G cell, a coverage scenario of the 5G cell according to morphological feature information of a building covered by the 5G cell, specifically:
the determining module is specifically configured to:
for each 5G cell, according to morphological feature information of buildings in the coverage area of the 5G cell, calculating to obtain a first proportion of all buildings in the coverage area of the 5G cell, a second proportion of high-rise buildings in all buildings in the coverage area of the 5G cell, a third proportion of middle-rise buildings in all buildings in the coverage area of the 5G cell and a fourth proportion of low-rise buildings in all buildings in the coverage area of the 5G cell;
and determining the coverage scene of the 5G cell according to the first proportion, the second proportion, the third proportion and the fourth proportion.
In this possible design, the determining module is configured to determine the coverage scenario of the 5G cell according to the first proportion, the second proportion, the third proportion, and the fourth proportion, specifically:
the determining module is specifically configured to: if the first proportion is larger than or equal to a first preset proportion and the second proportion is larger than or equal to the first preset proportion, the coverage scene of the 5G cell is of a high-rise building type;
if the first proportion is greater than or equal to a first preset proportion and the third proportion is greater than or equal to the first preset proportion, the coverage scene of the 5G cell is of a middle-level building type;
if the first proportion is larger than or equal to a first preset proportion and the fourth proportion is larger than or equal to the first preset proportion, the coverage scene of the 5G cell is of a bottom-layer building type;
if the first proportion is between a second preset proportion and a first preset proportion, and the second proportion is greater than or equal to the first preset proportion, the coverage scene of the 5G cell is a square and a high-rise building type;
if the first proportion is between a second preset proportion and a first preset proportion, and the third proportion is greater than or equal to the first preset proportion, the coverage scene of the 5G cell is a square and a middle-level building type;
if the first proportion is between a second preset proportion and a first preset proportion, and the fourth proportion is greater than or equal to the first preset proportion, the coverage scene of the 5G cell is a square and a bottom building type;
and if the first proportion is smaller than or equal to a second preset proportion, the coverage scene of the 5G cell is of a square type.
In yet another possible design of the second aspect, the determining module is configured to determine a coverage scenario of the 5G cell according to morphological feature information of a building covered by the 5G cell, and specifically:
the determining module is specifically configured to:
if the distance between the 5G cell and the sea area is determined to be smaller than the preset distance according to the morphological characteristic information of the building covered by the 5G cell, the coverage scene of the 5G cell is of a type covering a coastline;
and if the distance between the 5G cell and the traffic trunk is determined to be less than the preset distance according to the morphological characteristic information of the building covered by the 5G cell, the coverage scene of the 5G cell is of a type of covering the traffic trunk.
In a third aspect, an embodiment of the present application provides an electronic device, which includes a processor, a memory, and a computer program stored in the memory and executable on the processor, and the processor executes the computer program to implement the beam configuration method as provided in the first aspect and each possible design.
In a fourth aspect, embodiments of the present application may provide a computer-readable storage medium having stored therein computer-executable instructions for implementing the first aspect and possible design providing beam configuration methods when executed by a processor.
In a fifth aspect, embodiments of the present application provide a computer program product comprising a computer program, which when executed by a processor, is configured to implement the beam configuration method provided by the first aspect and each possible design.
The method comprises the steps of rasterizing 5G capacity information reported by User Equipment (UE) according to a pre-acquired full measurement report and a preset grid size to obtain a coverage grid of each 5G cell; acquiring morphological feature information of a building covered by each 5G cell based on the 3D electronic map and the coverage grid of each 5G cell; aiming at each 5G cell, determining a coverage scene of the 5G cell according to morphological feature information of a building covered by the 5G cell; determining a target beam configuration mode corresponding to each 5G cell according to the coverage scene of each 5G cell and a mapping relation between the coverage scene and the beam configuration mode obtained in advance; and carrying out beam configuration on the 5G cells according to the target beam configuration mode corresponding to each 5G cell. According to the method, the 3D electronic map and the coverage grids of each 5G cell are combined, beam configuration of different application scenes is achieved, and compared with the prior art, the beam configuration efficiency of the scheme is higher, and the configuration period is shorter.
Drawings
Fig. 1 is a schematic view of a coverage scenario provided in an embodiment of the present application;
fig. 2A is a schematic application diagram under Pattern 5 provided in an embodiment of the present application;
fig. 2B is a schematic application diagram under Pattern 16 provided in the embodiment of the present application;
fig. 2C is a schematic application diagram under Pattern 8 provided in the embodiment of the present application;
fig. 2D is a schematic application diagram of Pattern 1 provided in the embodiment of the present application;
fig. 3 is a flowchart of a first embodiment of a beam configuration method according to an embodiment of the present application;
fig. 4A is a schematic diagram of a current network architecture for acquiring a full MR according to an embodiment of the present application;
fig. 4B is a schematic diagram of a large data platform according to an embodiment of the present disclosure;
FIG. 4C is a schematic diagram of an overlay grid provided in an embodiment of the present application;
fig. 5A is a schematic diagram illustrating an outline analysis of a building according to an embodiment of the present disclosure;
FIG. 5B is a combined outline and schematic view of a building according to an embodiment of the present disclosure;
fig. 6 is a flowchart of a second embodiment of a beam configuration method according to the present application;
fig. 7 is a schematic structural diagram of a beam configuration apparatus according to an embodiment of the present application;
fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terms "first," "second," and the like in the description and in the claims, and in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Before introducing the embodiments of the present application, the background of the present application will be explained first.
The beamforming technology is a technology that by adjusting the amplitude and phase of the transceiver unit of each antenna array, the transmitting/receiving signals of the antenna array in a specific direction are mutually superposed, and the signals in other directions are mutually offset. The beamforming technology greatly improves the system capacity and the spectrum utilization rate of 5G.
For a 5G network, a multiple-in multiple-out (MIMO) technology and a beamforming technology are the most important 2 of wireless air interface technologies. The multi-user MIMO technology realizes the multiplexing of user data at an air interface, the beamforming technology solves the problems of large medium-high frequency signal loss and poor coverage effect, and on the basis, optimizing personnel can exert the coverage efficiency of the wireless base station to the maximum extent as long as the optimizing personnel can accurately position the occurrence position of the user communication service and select proper beamforming parameters.
In the existing 5G beam configuration selection technical scheme, polling type beam configuration is mainly performed on cells, and finally, a beam configuration corresponding to the optimal air interface performance is selected by comparing cell performance indexes of each type of beam configuration.
However, in the actual process, the prior art has the following problems:
1. the period of the beam configuration is long: because each cell needs to select 1 Single Side Band (SSB) primary scene configuration, and then sequentially execute a plurality of SSB secondary scene configurations. In order to ensure the objectivity of the comparison data, each configuration combination needs to be kept for at least several days, so that the whole configuration selection period is long in time;
2. the impact of the time dimension on the beam configuration is neglected: for example, a cell covering an office building performs different beam configuration comparisons on weekends and non-weekends, and the user scale, index performance, and the like cannot be directly used for comparison.
In view of the above technical problems, the inventive concept of the present application is as follows: in the process of configuring the beam, the inventor finds that the selection principle of the beam configuration can be returned to the basic technical principle, wherein the difficulty is that the wireless environment is a relatively complex individual, the information such as the height, the floor area and the like of a building cannot be obtained by the current two-dimensional map, and at the moment, the building information can be extracted by virtue of the advantages of the three-dimensional map, the problem of complex wireless environment is solved, and the beam configuration of different cells in different wireless environments is solved.
The technical solution of the present application will be described in detail below with reference to specific examples.
Table 1 shows 17 commonly used beamforming types provided in the embodiments of the present application. Table 2 provides specific coverage scenario types for embodiments of the present application.
Specifically, a suitable beamforming mode pattern may be selected according to a specific coverage scenario of each cell, so as to improve the system capacity and the spectrum utilization of 5G.
Table 1:
| Pattern | horizontal wave width | Vertical wave width | Declination angle | Azimuth angle |
| 0 | 105° | 6° | -2～9 | 0 |
| 1 | 110° | 6° | -2～9 | 0 |
| 2 | 90° | 6° | -2～9 | -10～10 |
| 3 | 65° | 6° | -2～9 | -22～22 |
| 4 | 45° | 6° | -2～9 | -32～32 |
| 5 | 25° | 6° | -2～9 | -42～42 |
| 6 | 110° | 12° | 0～6 | 0 |
| 7 | 90° | 12° | 0～6 | -10～10 |
| 8 | 65° | 12° | 0～6 | -22～22 |
| 9 | 45° | 12° | 0～6 | -32～32 |
| 10 | 25° | 12° | 0～6 | -42～42 |
| 11 | 15° | 12° | 0～6 | -47～47 |
| 12 | 110° | 25° | 6 | 0 |
| 13 | 65° | 25° | 6 | -22～22 |
| 14 | 45° | 25° | 6 | -32～32 |
| 15 | 25° | 25° | 6 | -42～42 |
| 16 | 15° | 25° | 6 | -47～47 |
Table 2:
with reference to specific coverage scenario types in table 2, fig. 1 is a schematic diagram of a coverage scenario provided in an embodiment of the present application. As shown in fig. 1, the following descriptions will be given in table 2 of Pattern 5, Pattern 16, Pattern 8, and Pattern 1.
As an example, fig. 2A is an application schematic diagram under Pattern 5 provided in the embodiment of the present application. The coverage scene is a coastline, and the near point and the far point in the map both use narrow beams, so that the coverage efficiency of the wireless base station is furthest exerted when beam forming access is ensured.
As another example, fig. 2B is an application schematic diagram under Pattern 16 provided in the embodiment of the present application. The coverage scene is a high-rise building, and the vertical surface is used for covering a wider beam in the figure, so that the vertical coverage range is improved.
As another example, fig. 2C is an application schematic diagram under Pattern 8 provided in the embodiment of the present application. The coverage scene is square + middle-level building, and the beam with wider horizontal and vertical is used in the figure, so that the coverage of the horizontal plane and the vertical range is ensured.
As another example, fig. 2D is an application schematic diagram under Pattern 1 provided in the embodiment of the present application. The coverage scene is a square, and a beam with a wider horizontal range is used, so that the coverage efficiency of the wireless base station is furthest exerted when the beam forming is accessed.
Based on the above examples, several specific embodiments are combined to describe the present application, and the description of the same or similar concepts is omitted.
Fig. 3 is a flowchart of a first embodiment of a beam configuration method according to an embodiment of the present application. As shown in fig. 3, the beam configuration method may include the steps of:
and step 31, rasterizing the 5G capability information reported by the UE according to the pre-acquired full measurement report and the preset grid size to obtain a coverage grid of each 5G cell.
In this scheme, in order to determine a target beam configuration mode corresponding to each 5G cell, first, a Measurement Report (MR) of each 5G cell needs to be obtained. The full MR is used for network evaluation for each 5G cell.
In one possible implementation, fig. 4A is a schematic diagram of a current network architecture for acquiring a full MR according to an embodiment of the present application. As shown in fig. 4A, the current network architecture is schematically illustrated as a 5G Non-dependent Networking (NSA) 3X, including: the system comprises a 4G Core network (EPC), a 4G base station, a 5G base station, a mobile phone (terminal) and a shunt control point.
The Long Term Evolution (LTE) -base station eNB serves as a dual-connected primary node MeNB and carries control plane and user plane data, the terminal accesses the EPC through the LTE eNB (4G base station), and the NR gbb (5G base station) serves as a secondary node and carries user plane data.
Optionally, table 3 is a partial procedure for acquiring a full MR provided in the embodiment of the present application; fig. 4B is a schematic diagram of a large data platform according to an embodiment of the present disclosure. Specifically, the acquisition of the total MR will be described with reference to fig. 4A in conjunction with table 3 and fig. 4B.
Table 3:
specifically, when the terminal with the NSA function accesses the EPC, the UE MR-DC Capability in the User Experience (UE) Capability event reports the 5G Capability to the EPC, then the EPC issues a B1 measurement (see "eventB 1_ NR _ r 15" in table 3), and the 5G (5G New Radio, NR) frequency information that needs to be measured by the terminal is sent to the terminal through a Radio Resource Control (RRC) reconfiguration message. And the terminal acquires the NR synchronous signal after receiving the NR synchronous signal, measures the quality of the 5G signal and reports the measurement result to the EPC.
The measurement result exists in a log file Message Logs, the EPC stores the measurement result in an Operation Support System (OSS) vendor, and a big data Analysis platform Geo Analysis acquires the measurement result in the OSS vendor. The Trace of the operation support system is used for debugging a request-response protocol http mode connected with the network server; the EN-DC (EUTRA-NR Dual Connection) X2 uses the Dual Connection of a 4G MeNB as a main node and an SgNB as a secondary node, and is used for providing service for the terminal.
In this step, according to the measurement result, determining latitude and longitude information of each sampling point in the full MR, screening out B1 events related to NR in the full MR, and rasterizing the 5G capability information reported by the UE with a preset grid size to obtain a coverage grid of each 5G cell.
In one possible implementation, the B1 event related to NR in the full MR may be used to represent Reference Signal Received Power (RSRP), and fig. 4C is a schematic diagram of a coverage grid provided by an embodiment of the present application. As shown in fig. 4C, the preset grid size may be 50m × 50m, each grid replaces RSRP that may be in the range of 50m × 50m, and the coverage grid with RSRP in the range of 95% to 100% is illustrated in the figure, and a schematic diagram of 93% to 95%, 88% to 93%, 80% to 88%, 70% to 80%, and 0% to 70% of the coverage grid may be included.
And 32, acquiring morphological characteristic information of the building covered by each 5G cell based on the 3D electronic map and the coverage grid of each 5G cell.
In this step, in order to more accurately determine the coverage scene type of the 5G cell, firstly, the wireless environment of the 5G cell needs to be accurately obtained, and the wireless environment can be obtained by a 3D electronic map, and then, according to the information in the 3D electronic map and the coverage grid of each 5G cell obtained in the above step, the morphological feature information of the building covered by each 5G cell is determined.
Optionally, vector information and height information of the building are obtained according to the 3D electronic map, and then the outline information of the building is determined based on the vector information and the height information.
In one possible implementation, in a buildVector file in the 3D electronic map of the input source, height information of a building (described in a subfile attribute of the buildVector) and vector information of the building (described in subfiles of the buildVector, including a coordinate collection of the building) are obtained. Further, fig. 5A is a schematic diagram of contour analysis of a building according to an embodiment of the present application. As shown in fig. 5A, contour analysis is performed according to the height information and the vector information, that is, the original building contour information extracted from the 3D electronic map is cut into a plurality of closed polygons by the same building, and the merging may be nested merging or co-edge merging.
Optionally, the contour is combined based on the contour information of the building and the coverage grid of each 5G cell, and the morphological feature information of the building covered by each 5G cell is obtained according to the combined contour information, the vector information and the height information.
In one possible implementation, fig. 5B is a combined outline schematic diagram of a building provided in the embodiment of the present application. As shown in fig. 5B, the obtained coverage grid of the 5G cell and the contour information of the building may be combined by a three-point positioning method, and information is output: morphological feature information of buildings covered by each 5G cell. The morphological characteristic information of the building can include longitude and latitude, area and height of the building.
Wherein, the building that 5G district covered includes: the 5G cell covers all buildings of the grid.
Specifically, table 4 shows the morphological feature information of some buildings provided in the embodiments of the present application. As shown in table 4, BuildingID is the building number, Longitude is the building Longitude, Latitude is the building Latitude, Area (m × m) is the building Area, and height (m) is the building height.
Table 4:
| BuildingID | Longitude | Latitude | Area(m*m) | Height(m) |
| V1 | 113.5221 | 23.040587 | 334.52 | 6.36 |
| V2 | 113.52196 | 23.040905 | 945.53 | 9.1 |
| V3 | 113.52221 | 23.041262 | 362 | 6.08 |
| V4 | 113.52246 | 23.041213 | 363.84 | 6.49 |
| V5 | 113.52192 | 23.041086 | 129.33 | 3.39 |
| V6 | 113.52187 | 23.041177 | 121.36 | 3.28 |
and step 33, determining the coverage scene of the 5G cell according to the morphological characteristic information of the building covered by the 5G cell for each 5G cell.
In this step, the morphological feature information of the building covered by the 5G cell combines the wireless environment of the 5G cell and the 5G capability information reported by the UE, and for the morphological feature information, determining the coverage scenario of the 5G cell can be implemented in the following two ways:
a first possible implementation: and determining a coverage scene of the 5G cell based on the number of buildings, the height of each building and the occupied area of each building in the morphological characteristic information of the buildings covered by the 5G cell.
A second possible implementation: determining a coverage scene of the 5G cell based on a relation between a distance from the 5G cell to a sea area in morphological characteristic information of a building covered by the 5G cell and a preset distance, wherein the specific situation can be divided into the following situations:
the preset distance may be 50m, or may be another value preset according to actual conditions.
Firstly, if the distance between the 5G cell and the sea area is determined to be less than the preset distance according to the morphological characteristic information of the building covered by the 5G cell, the coverage scene of the 5G cell is of a coverage coastline type.
Specifically, if the linear distance between the 5G cell and the sea area is less than 50m, the 5G cell coverage scene is: type of covered coastline
Secondly, if the distance between the 5G cell and the traffic trunk is determined to be less than the preset distance according to the morphological feature information of the building covered by the 5G cell, the coverage scene of the 5G cell is of a type covering the traffic trunk.
Specifically, if the linear distance between the 5G cell and the traffic trunk is less than 50m, the 5G cell coverage scene is: covering the traffic trunk type.
And step 34, determining a target beam configuration mode corresponding to each 5G cell according to the coverage scene of each 5G cell and the mapping relation between the coverage scene and the beam configuration mode obtained in advance.
In this step, based on the obtained coverage scenario of the 5G cell, and in combination with the mapping relationship between the coverage scenario and the beam configuration mode provided in the embodiment of the present application, that is, table 2, a target beam configuration mode corresponding to each 5G cell is determined, so that each 5G cell can obtain more accurate beam configuration.
Optionally, as shown in table 2 above, if the coverage scene of the 5G cell is the coastline, the corresponding target beam configuration mode is Pattern 5.
And step 35, performing beam configuration on the 5G cells according to the target beam configuration mode corresponding to each 5G cell.
In this step, the beam configuration is performed on each 5G cell according to the obtained target beam configuration pattern corresponding to each 5G cell.
Optionally, if the coverage scene of the 5G cell is a coastline and the corresponding target beam configuration mode is Pattern 5, the horizontal wave width is 25 °, the vertical wave width is 6 °, the downtilt angles are-2-9, and the azimuth angles are-42 are set according to the beam forming type shown in table 1.
According to the beam configuration method provided by the embodiment of the application, rasterization processing is performed on 5G capability information reported by User Equipment (UE) according to a preset grid size through a pre-acquired full measurement report, so that a coverage grid of each 5G cell is obtained; acquiring morphological feature information of a building covered by each 5G cell based on the 3D electronic map and the coverage grid of each 5G cell; aiming at each 5G cell, determining a coverage scene of the 5G cell according to morphological feature information of a building covered by the 5G cell; determining a target beam configuration mode corresponding to each 5G cell according to the coverage scene of each 5G cell and a mapping relation between the coverage scene and the beam configuration mode obtained in advance; and carrying out beam configuration on the 5G cells according to the target beam configuration mode corresponding to each 5G cell. According to the method, the 3D electronic map and the coverage grids of each 5G cell are combined, beam configuration of different application scenes is achieved, compared with the prior art, the beam configuration efficiency of the scheme is higher, and the configuration cycle time is shorter.
Based on fig. 3, fig. 6 is a flowchart of a second embodiment of a beam configuration method provided in the present application. As shown in fig. 6, the step 33 can be implemented by:
and step 61, aiming at each 5G cell, calculating a first proportion of all buildings in the coverage area of the 5G cell to the total area, a second proportion of high-rise buildings to all buildings in the coverage area of the 5G cell, a third proportion of middle-rise buildings to all buildings in the coverage area of the 5G cell and a fourth proportion of low-rise buildings to all buildings in the coverage area of the 5G cell according to morphological characteristic information of the buildings in the coverage area of the 5G cell.
In this step, the floor area in the 5G cell coverage is X, the number of buildings in the 5G cell coverage may be n, and the area S of the buildings in the 5G cell coverage is S0+ S1+ … … Sn (n is a natural number greater than or equal to 0).
Optionally, the ratio of the area of the building in the coverage area of the 5G cell to the floor area in the coverage area of the 5G cell is a first ratio K1, i.e., K1 ═ S/X.
Optionally, the ratio of the area of a high-rise building (for example, the height of the building is greater than or equal to 35m) to the floor area in the coverage area of the 5G cell is K2, and the ratio of the high-rise building to the building in the coverage area of the 5G cell is K2 ″, i.e., K2 ″ -K2/K1.
Optionally, the ratio of the area of the middle-rise building (for example, the building height is less than 35m and greater than or equal to 15m) to the floor area in the 5G cell coverage is K3, and the ratio of the high-rise building to the building in the 5G cell coverage is a third ratio K3", that is, K3 ″ -K3/K1.
Optionally, the ratio of the area of the low-rise building (for example, the building height is less than or equal to 15m) to the floor area in the coverage area of the 5G cell is K4, and the ratio of the high-rise building to the building in the coverage area of the 5G cell is a fourth ratio K4", that is, K4 ″ -K2/K1.
Alternatively, in the above classification of high-rise buildings, mid-rise buildings and bottom-rise buildings, the height thresholds of 15m and 35m are only given as examples and can be set according to the situation in practical application.
And step 62, determining the coverage scene of the 5G cell according to the first proportion, the second proportion, the third proportion and the fourth proportion.
In this step, determining the coverage scenario of the 5G cell according to the first ratio, the second ratio, the third ratio and the fourth ratio obtained above and by combining the preset second preset ratio and the preset first preset ratio may include the following several cases:
generally, the second predetermined ratio is greater than the first predetermined ratio, the second predetermined ratio can be set according to practical situations, and can be any ratio greater than 50%, such as 55%, 60%, 65%, 70%, 80%, and the like, and the first predetermined ratio can be any ratio less than 50%, such as 45%, 40%, 35%, 30%, 20%, and the like, and the present disclosure is not limited thereto.
In the following embodiments, the technical solution is exemplified by taking the first preset proportion as 70% and the second preset proportion as 30%.
Firstly, if the first proportion is larger than or equal to a first preset proportion and the second proportion is larger than or equal to the first preset proportion, the coverage scene of the 5G cell is of a high-rise building type.
Specifically, if K1> is 70% & K2"> & 70%, the 5G cell coverage scenario is a high-rise building type.
Secondly, if the first proportion is larger than or equal to the first preset proportion and the third proportion is larger than or equal to the first preset proportion, the coverage scene of the 5G cell is of a middle-level building type.
Specifically, if K1> is 70% & K3"> & 70%, the 5G cell coverage scene is of the mid-level building type.
And thirdly, if the first proportion is larger than or equal to the first preset proportion and the fourth proportion is larger than or equal to the first preset proportion, the coverage scene of the 5G cell is the type of the bottom-layer building.
Specifically, if K1> is 70% & K4"> & 70%, the 5G cell coverage scene is of a low-rise building type.
And fourthly, if the first proportion is between the second preset proportion and the first preset proportion, and the second proportion is larger than or equal to the first preset proportion, the coverage scene of the 5G cell is a square and a high-rise building type.
If K1 is located at [ 30%, 70% ] & K2"> 70%, then the 5G cell coverage scenario is: squares and high-rise buildings.
And fifthly, if the first proportion is between the second preset proportion and the first preset proportion and the third proportion is larger than or equal to the first preset proportion, the coverage scene of the 5G cell is a square and a middle-layer building type.
If K1 is located at [ 30%, 70% ] & K3"> 70%, then the 5G cell coverage scenario is: square and mid-level buildings.
And sixthly, if the first proportion is between the second preset proportion and the first preset proportion and the fourth proportion is greater than or equal to the first preset proportion, the coverage scene of the 5G cell is a square and a bottom layer building type.
If K1 is located at [ 30%, 70% ] & K4"> 70%, then the 5G cell coverage scenario is: squares and low-rise buildings.
And seventhly, if the first proportion is smaller than or equal to the second preset proportion, the coverage scene of the 5G cell is of a square type.
If K1 is < 30%, the 5G cell coverage scenario is: the square type.
According to the beam configuration method provided by the embodiment of the application, for each 5G cell, according to the morphological feature information of the buildings in the coverage area of the 5G cell, a first proportion of all buildings in the coverage area of the 5G cell, a second proportion of high-rise buildings in all buildings in the coverage area of the 5G cell, a third proportion of middle-rise buildings in all buildings in the coverage area of the 5G cell and a fourth proportion of low-rise buildings in all buildings in the coverage area of the 5G cell are calculated and obtained. And determining the coverage scene of the 5G cell according to the first proportion, the second proportion, the third proportion and the fourth proportion. According to the method, the height information and the area information in the morphological characteristic information of the building in the coverage area of the 5G cell are compared with the preset second preset proportion and the first preset proportion, the coverage scene of the 5G cell is determined, and a foundation is provided for the target beam configuration corresponding to the 5G cell.
Fig. 7 is a schematic structural diagram of a beam configuration apparatus according to an embodiment of the present application. As shown in fig. 7, the beam configuration apparatus includes: a processing module 71 and a determination module 72.
The processing module 71 is configured to perform rasterization processing on the 5G capability information reported by the UE according to a pre-obtained full measurement report and a preset grid size to obtain a coverage grid of each 5G cell;
the processing module 71 is further configured to obtain morphological feature information of a building covered by each 5G cell based on the 3D electronic map and the coverage grid of each 5G cell;
a determining module 72, configured to determine, for each 5G cell, a coverage scenario of the 5G cell according to morphological feature information of a building covered by the 5G cell;
the determining module 72 is further configured to determine a target beam configuration mode corresponding to each 5G cell according to the coverage scenario of each 5G cell and a mapping relationship between the coverage scenario and the beam configuration mode obtained in advance;
the determining module 72 is further configured to perform beam configuration on the 5G cells according to the target beam configuration mode corresponding to each 5G cell.
In one possible design of the embodiment of the present application, the processing module 71 is configured to obtain morphological feature information of a building covered by each 5G cell based on a 3D electronic map and a coverage grid of each 5G cell, specifically:
the processing module 71 is specifically configured to:
acquiring vector information, height information and outline information of a building according to the 3D electronic map;
carrying out contour combination based on the contour information of the building and the coverage grids of each 5G cell, and acquiring form feature information of the building covered by each 5G cell according to the combined contour information, vector information and height information; the form characteristic information of the building comprises longitude and latitude, area and height of the building.
In another possible design of the embodiment of the present application, the determining module 72 is configured to determine, for each 5G cell, a coverage scenario of the 5G cell according to morphological feature information of a building covered by the 5G cell, specifically:
the determining module 72 is specifically configured to:
for each 5G cell, calculating a first proportion of all buildings in the total area of the 5G cell coverage area, a second proportion of high-rise buildings in all buildings in the 5G cell coverage area, a third proportion of middle-rise buildings in all buildings in the 5G cell coverage area and a fourth proportion of low-rise buildings in all buildings in the 5G cell coverage area according to morphological feature information of the buildings in the 5G cell coverage area;
and determining the coverage scene of the 5G cell according to the first proportion, the second proportion, the third proportion and the fourth proportion.
In this possible design, the determining module 72 is configured to determine the coverage scenario of the 5G cell according to the first ratio, the second ratio, the third ratio, and the fourth ratio, specifically:
the determining module 72 is specifically configured to: if the first proportion is larger than or equal to a first preset proportion and the second proportion is larger than or equal to the first preset proportion, the coverage scene of the 5G cell is of a high-rise building type;
if the first proportion is larger than or equal to a first preset proportion and the third proportion is larger than or equal to the first preset proportion, the coverage scene of the 5G cell is of a middle-level building type;
if the first proportion is larger than or equal to a first preset proportion and the fourth proportion is larger than or equal to the first preset proportion, the coverage scene of the 5G cell is of a bottom-layer building type;
if the first proportion is between the second preset proportion and the first preset proportion and the second proportion is larger than or equal to the first preset proportion, the coverage scene of the 5G cell is a square and a high-rise building type;
if the first proportion is between the second preset proportion and the first preset proportion, and the third proportion is greater than or equal to the first preset proportion, the coverage scene of the 5G cell is a square and a middle-level building type;
if the first proportion is between the second preset proportion and the first preset proportion, and the fourth proportion is greater than or equal to the first preset proportion, the coverage scene of the 5G cell is a square and a bottom layer building type;
and if the first proportion is smaller than or equal to the second preset proportion, the coverage scene of the 5G cell is of a square type.
In another possible design of the embodiment of the present application, the determining module 72 is configured to determine a coverage scenario of the 5G cell according to morphological feature information of a building covered by the 5G cell, specifically:
the determining module 72 is specifically configured to:
if the distance between the 5G cell and the sea area is determined to be smaller than the preset distance according to the morphological characteristic information of the building covered by the 5G cell, the coverage scene of the 5G cell is of a type covering the coastline;
and if the distance between the 5G cell and the traffic trunk is determined to be less than the preset distance according to the morphological characteristic information of the building covered by the 5G cell, the coverage scene of the 5G cell is of a type of covering the traffic trunk.
The beam configuration apparatus provided in the embodiment of the present application may be used to execute the beam configuration method in the foregoing embodiments, and the implementation principle and the technical effect are similar, which are not described herein again.
It should be noted that the division of the modules of the above apparatus is only a logical division, and the actual implementation may be wholly or partially integrated into one physical entity, or may be physically separated. And these modules can be realized in the form of software called by processing element; or may be implemented entirely in hardware; and part of the modules can be realized in the form of calling software by the processing element, and part of the modules can be realized in the form of hardware. For example, the processing module may be a separate processing element, or may be integrated into a chip of the apparatus, or may be stored in a memory of the apparatus in the form of program code, and a processing element of the apparatus calls and executes the functions of the above determination module. Other modules are implemented similarly. In addition, all or part of the modules can be integrated together or can be independently realized. The processing element here may be an integrated circuit with signal processing capabilities. In implementation, each step of the above method or each module above may be implemented by an integrated logic circuit of hardware in a processor element or an instruction in the form of software.
Fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present application. As shown in fig. 8, the electronic device may include: a processor 81 and a memory 82.
Wherein, the processor 81 executes the computer execution instructions stored in the memory 82, so that the processor 81 executes the scheme in the above-mentioned embodiment. The processor 81 may be a general-purpose processor including a central processing unit CPU, a Network Processor (NP), and the like; but also a digital signal processor DSP, an application specific integrated circuit ASIC, a field programmable gate array FPGA or other programmable logic device, discrete gate or transistor logic, discrete hardware components.
A memory 82 is coupled to the processor 81 via the system bus and communicates with each other, the memory 82 storing computer program instructions. The memory 82 may comprise Random Access Memory (RAM) and may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
Optionally, the above devices of the electronic device may be connected by a system bus.
The electronic device provided by the embodiment of the application can be used for executing the scheme in the embodiment, and the implementation principle and the technical effect are similar, which are not described herein again.
The embodiment of the application also provides a chip for running the instructions, and the chip is used for executing the scheme in the embodiment.
The embodiment of the present application further provides a computer-readable storage medium, in which computer instructions are stored, and when the computer instructions are run on a computer, the computer is caused to execute the scheme of the foregoing embodiment.
Embodiments of the present application also provide a computer program product, which includes a computer program stored in a computer-readable storage medium, where the computer program can be read by at least one processor from the computer-readable storage medium, and the at least one processor can implement the solutions in the above embodiments when executing the computer program.
Finally, it should be noted that: the above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present application.
Claims (10)
1. A method for configuring a beam, comprising:
rasterizing 5G capability information reported by User Equipment (UE) according to a pre-acquired full measurement report by a preset grid size to obtain a coverage grid of each 5G cell;
acquiring morphological feature information of a building covered by each 5G cell based on a 3D electronic map and the coverage grid of each 5G cell;
for each 5G cell, determining a coverage scene of the 5G cell according to morphological feature information of a building covered by the 5G cell;
determining a target beam configuration mode corresponding to each 5G cell according to the coverage scene of each 5G cell and a mapping relation between the coverage scene and the beam configuration mode obtained in advance;
and carrying out beam configuration on the 5G cells according to the target beam configuration mode corresponding to each 5G cell.
2. The method according to claim 1, wherein the obtaining morphological feature information of the building covered by each 5G cell based on the 3D electronic map and the coverage grid of each 5G cell comprises:
acquiring vector information, height information and outline information of a building according to the 3D electronic map;
carrying out contour combination based on contour information of the building and the coverage grid of each 5G cell, and acquiring morphological feature information of the building covered by each 5G cell according to the combined contour information, the vector information and the height information; the form characteristic information of the building comprises longitude and latitude, area and height of the building.
3. The method according to claim 1, wherein the determining, for each 5G cell, a coverage scenario of the 5G cell according to morphological feature information of a building covered by the 5G cell comprises:
for each 5G cell, according to morphological feature information of buildings in the coverage area of the 5G cell, calculating to obtain a first proportion of all buildings in the coverage area of the 5G cell, a second proportion of high-rise buildings in all buildings in the coverage area of the 5G cell, a third proportion of middle-rise buildings in all buildings in the coverage area of the 5G cell and a fourth proportion of low-rise buildings in all buildings in the coverage area of the 5G cell;
and determining the coverage scene of the 5G cell according to the first proportion, the second proportion, the third proportion and the fourth proportion.
4. The method of claim 3, wherein determining the coverage scenario of the 5G cell according to the first ratio, the second ratio, the third ratio, and the fourth ratio comprises:
if the first proportion is larger than or equal to a first preset proportion and the second proportion is larger than or equal to the first preset proportion, the coverage scene of the 5G cell is of a high-rise building type;
if the first proportion is greater than or equal to a first preset proportion and the third proportion is greater than or equal to the first preset proportion, the coverage scene of the 5G cell is of a middle-level building type;
if the first proportion is larger than or equal to a first preset proportion and the fourth proportion is larger than or equal to the first preset proportion, the coverage scene of the 5G cell is of a bottom-layer building type;
if the first proportion is between a second preset proportion and a first preset proportion, and the second proportion is greater than or equal to the first preset proportion, the coverage scene of the 5G cell is a square and a high-rise building type;
if the first proportion is between a second preset proportion and a first preset proportion, and the third proportion is greater than or equal to the first preset proportion, the coverage scene of the 5G cell is a square and a middle-level building type;
if the first proportion is between a second preset proportion and a first preset proportion, and the fourth proportion is greater than or equal to the first preset proportion, the coverage scene of the 5G cell is a square and a bottom building type;
and if the first proportion is smaller than or equal to a second preset proportion, the coverage scene of the 5G cell is of a square type.
5. The method of claim 1, wherein the determining the coverage scenario of the 5G cell according to the morphological feature information of the building covered by the 5G cell comprises:
if the distance between the 5G cell and the sea area is determined to be smaller than the preset distance according to the morphological characteristic information of the building covered by the 5G cell, the coverage scene of the 5G cell is of a type covering a coastline;
and if the distance between the 5G cell and the traffic trunk is determined to be less than the preset distance according to the morphological characteristic information of the building covered by the 5G cell, the coverage scene of the 5G cell is of a type of covering the traffic trunk.
6. A beam configuration apparatus, comprising: a processing module and a determining module;
the processing module is used for rasterizing the 5G capability information reported by the UE according to the pre-acquired full measurement report and the preset grid size to obtain the coverage grid of each 5G cell;
the processing module is further used for acquiring morphological characteristic information of the building covered by each 5G cell based on the 3D electronic map and the coverage grid of each 5G cell;
the determining module is configured to determine, for each 5G cell, a coverage scenario of the 5G cell according to morphological feature information of a building covered by the 5G cell;
the determining module is further configured to determine a target beam configuration mode corresponding to each 5G cell according to the coverage scenario of each 5G cell and a mapping relationship between the coverage scenario and the beam configuration mode, which is obtained in advance;
the determining module is further configured to perform beam configuration on the 5G cell according to a target beam configuration mode corresponding to each 5G cell.
7. The apparatus according to claim 6, wherein the processing module is configured to obtain morphological feature information of a building covered by each 5G cell based on the 3D electronic map and the coverage grid of each 5G cell, and is specifically configured to:
acquiring vector information, height information and outline information of a building according to the 3D electronic map;
carrying out contour combination based on contour information of the building and the coverage grid of each 5G cell, and acquiring morphological feature information of the building covered by each 5G cell according to the combined contour information, the vector information and the height information; the form characteristic information of the building comprises longitude and latitude, area and height of the building.
8. An electronic device comprising a processor, a memory and a computer program stored on the memory and executable on the processor, wherein the processor implements the beam configuration method according to any of claims 1-5 when executing the program.
9. A computer-readable storage medium having computer-executable instructions stored thereon, which when executed by a processor, are configured to implement the beam configuration method of any one of claims 1-5.
10. A computer program product comprising a computer program for implementing the beam configuration method according to any of claims 1-5 when the computer program is executed by a processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011568964.8A CN112713919B (en) | 2020-12-25 | 2020-12-25 | Beam configuration method, apparatus, device and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011568964.8A CN112713919B (en) | 2020-12-25 | 2020-12-25 | Beam configuration method, apparatus, device and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112713919A true CN112713919A (en) | 2021-04-27 |
| CN112713919B CN112713919B (en) | 2022-04-15 |
Family
ID=75546726
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011568964.8A Active CN112713919B (en) | 2020-12-25 | 2020-12-25 | Beam configuration method, apparatus, device and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112713919B (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114095942A (en) * | 2021-10-21 | 2022-02-25 | 中国电信股份有限公司 | Communication equipment selection method |
| CN114885287A (en) * | 2022-04-13 | 2022-08-09 | 中国电信股份有限公司 | Network coverage area determining method and device, electronic equipment and storage medium |
| CN115002795A (en) * | 2022-06-10 | 2022-09-02 | 中国电信股份有限公司 | Beam forming method and device, electronic equipment and readable storage medium |
| CN115474202A (en) * | 2021-06-10 | 2022-12-13 | 中移系统集成有限公司 | Base station configuration method, device, electronic equipment and storage medium |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2018045529A1 (en) * | 2016-09-08 | 2018-03-15 | 华为技术有限公司 | Network station site planning method and device |
| CN108271165A (en) * | 2016-12-30 | 2018-07-10 | 中国移动通信集团浙江有限公司 | A kind of Forecasting Methodology and system of base station network signal covering state |
| WO2019112708A1 (en) * | 2017-12-08 | 2019-06-13 | Commscope Technologies Llc | Methods and systems for determining morphology data |
| WO2019127046A1 (en) * | 2017-12-26 | 2019-07-04 | 华为技术有限公司 | Method and apparatus for predicting installation position of customer premises equipment (cpe) |
| CN110493788A (en) * | 2018-05-15 | 2019-11-22 | 中国移动通信集团湖北有限公司 | The method, apparatus and storage medium of communication site's planning |
| CN110677859A (en) * | 2018-07-03 | 2020-01-10 | 中国电信股份有限公司 | Method and device for determining weak coverage area and computer readable storage medium |
| CN110784880A (en) * | 2019-10-11 | 2020-02-11 | 深圳市名通科技股份有限公司 | Antenna weight optimization method, terminal and readable storage medium |
| CN111182552A (en) * | 2019-12-11 | 2020-05-19 | 深圳华臻信息技术有限公司 | SSB wave beam dynamic configuration method in 5G base station and 5G base station |
-
2020
- 2020-12-25 CN CN202011568964.8A patent/CN112713919B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2018045529A1 (en) * | 2016-09-08 | 2018-03-15 | 华为技术有限公司 | Network station site planning method and device |
| CN108271165A (en) * | 2016-12-30 | 2018-07-10 | 中国移动通信集团浙江有限公司 | A kind of Forecasting Methodology and system of base station network signal covering state |
| WO2019112708A1 (en) * | 2017-12-08 | 2019-06-13 | Commscope Technologies Llc | Methods and systems for determining morphology data |
| WO2019127046A1 (en) * | 2017-12-26 | 2019-07-04 | 华为技术有限公司 | Method and apparatus for predicting installation position of customer premises equipment (cpe) |
| CN110493788A (en) * | 2018-05-15 | 2019-11-22 | 中国移动通信集团湖北有限公司 | The method, apparatus and storage medium of communication site's planning |
| CN110677859A (en) * | 2018-07-03 | 2020-01-10 | 中国电信股份有限公司 | Method and device for determining weak coverage area and computer readable storage medium |
| CN110784880A (en) * | 2019-10-11 | 2020-02-11 | 深圳市名通科技股份有限公司 | Antenna weight optimization method, terminal and readable storage medium |
| CN111182552A (en) * | 2019-12-11 | 2020-05-19 | 深圳华臻信息技术有限公司 | SSB wave beam dynamic configuration method in 5G base station and 5G base station |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115474202A (en) * | 2021-06-10 | 2022-12-13 | 中移系统集成有限公司 | Base station configuration method, device, electronic equipment and storage medium |
| CN114095942A (en) * | 2021-10-21 | 2022-02-25 | 中国电信股份有限公司 | Communication equipment selection method |
| CN114885287A (en) * | 2022-04-13 | 2022-08-09 | 中国电信股份有限公司 | Network coverage area determining method and device, electronic equipment and storage medium |
| CN114885287B (en) * | 2022-04-13 | 2024-09-03 | 中国电信股份有限公司 | Network coverage area determining method and device, electronic equipment and storage medium |
| CN115002795A (en) * | 2022-06-10 | 2022-09-02 | 中国电信股份有限公司 | Beam forming method and device, electronic equipment and readable storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112713919B (en) | 2022-04-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112713919A (en) | Beam configuration method, device, equipment and storage medium | |
| CN111277947B (en) | Cell longitude and latitude prediction method, device, server, base station and storage medium | |
| CN113965942B (en) | A network configuration method and device | |
| CN110167037B (en) | LTE network interference evaluation method, device, system and storage medium | |
| US12089064B2 (en) | Beamforming method and apparatus, radio access network device, and readable storage medium | |
| CN104335622B (en) | The network planning, optimization method and device based on service distribution | |
| CN117062218A (en) | A positioning method and device | |
| KR20170042280A (en) | Apparatus and method for use in radio communication, electronic device, and method therefor | |
| CN112333754B (en) | Method and device for estimating number of accessible users | |
| CN111988785B (en) | 5G network coverage processing method and device | |
| CN115278526A (en) | Terminal positioning method and device, electronic equipment and storage medium | |
| EP3910984A1 (en) | Method for processing broadcast beam and communication device | |
| CN114520997A (en) | Method, device, device and storage medium for locating 5G network interference source | |
| US11245479B2 (en) | Antenna performance evaluation determining obstacle information based on performance and reference performance maps | |
| CN113131974A (en) | Method and device for automatically optimizing antenna weight based on 3DMIMO | |
| CN114885287A (en) | Network coverage area determining method and device, electronic equipment and storage medium | |
| CN116133037B (en) | Wireless network evaluation method and device | |
| CN104684091A (en) | Method and device for regulating network framework, network scheduling controller and base station | |
| US20230160992A1 (en) | Antenna positioning method for first base station and communication apparatus | |
| WO2017020273A1 (en) | Method and device for positioning and method of generating a positioning database in multicarrier network | |
| CN112653493B (en) | Antenna weight optimization method and device, computing equipment and storage medium | |
| CN113950080A (en) | Method and device for determining optimized cell and storage medium | |
| CN110621025B (en) | Equipment model selection method and device | |
| CN115002795A (en) | Beam forming method and device, electronic equipment and readable storage medium | |
| CN113938821A (en) | Shaped beam configuration method, device, equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |