CN104703192A - Network planning method of mobile internet and network system thereof - Google Patents
Network planning method of mobile internet and network system thereof Download PDFInfo
- Publication number
- CN104703192A CN104703192A CN201510114498.9A CN201510114498A CN104703192A CN 104703192 A CN104703192 A CN 104703192A CN 201510114498 A CN201510114498 A CN 201510114498A CN 104703192 A CN104703192 A CN 104703192A
- Authority
- CN
- China
- Prior art keywords
- network
- wireless
- ticket
- parameters
- service
- 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.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 31
- 238000004458 analytical method Methods 0.000 claims abstract description 28
- 230000011664 signaling Effects 0.000 claims description 42
- 238000007621 cluster analysis Methods 0.000 claims description 14
- 238000013433 optimization analysis Methods 0.000 claims description 9
- 238000011161 development Methods 0.000 claims description 8
- 238000007418 data mining Methods 0.000 claims description 4
- 238000003064 k means clustering Methods 0.000 claims description 3
- 238000013210 evaluation model Methods 0.000 abstract description 3
- 238000003012 network analysis Methods 0.000 abstract description 3
- 239000002990 reinforced plastic Substances 0.000 abstract 5
- 230000006399 behavior Effects 0.000 description 14
- 238000010586 diagram Methods 0.000 description 8
- 238000005457 optimization Methods 0.000 description 7
- 230000005540 biological transmission Effects 0.000 description 6
- 238000004891 communication Methods 0.000 description 2
- 238000007405 data analysis Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- 238000007726 management method Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 238000010276 construction Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/18—Network planning tools
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The invention provides a network planning method of a mobile internet and a network system thereof. The method comprises the steps of acquiring main parameters of a wireless orifice at a wireless side and a relative call ticket of signal business main parameters at an RP (Reinforced Plastics) side; carrying out clustering analysis on the above main parameters, and obtaining the signal business parameters at the RP side which are equivalent to the main parameters of the wireless orifice; building a network planning index system including the main parameters of the wireless orifice and the signal business main parameters at an RP side; and analyzing and evaluating the network sources status occupied by the data businesses of different users through the index system. Compared with the prior art, the wireless network performance indexes and the user data business indexes can be clustered and analyzed by applying a clustering method in such a way of combining traditional network analysis indexes, a data network evaluation model located at the RP side based on the business which is equivalent to the wireless orifice parameters can be acquired, the new network planning index system can be built, and a data network can be planned from the point of an actually used business of a user.
Description
Technical Field
The invention relates to a network planning technology, in particular to a mobile internet network planning method and a network system thereof based on data association between a wireless side and an RP side and capable of comprehensively reflecting key indexes of the RP side of network load and user service behaviors.
Background
As an important component of the wireless communication industry in china, by virtue of the advantages of stable and high-speed data transmission, CDMA networks have been vigorously developed nationwide, and CDMA users in telecommunications in china reach 1.29 hundred million by 1 month in 2012. With the rapid development of CDMA technology, more and more intelligent terminals are coming into the market successively. Meanwhile, the requirement on the wireless communication network is improved, so that the network bears more and more types of data services, and the objectivity and urgency of network planning, the integrity of a planning index system and deep analysis on network construction and network planning are particularly important. In the prior art, for example, the current planning method for the wireless mobile network mainly follows the traditional indexes and methods for voice services, and the planning requirement cannot be met for the increasing data service types. In addition, different characteristics of different data services cause different requirements on the capability of the mobile data network for bearing various different data services, and higher requirements are provided for network planning.
The wireless air interface is a file used by the Alcatel Lucent CDMA network to record information about each call. At present, the analysis of the network service condition mainly depends on the analysis of traffic statistic data of the network management of the access network and the record of a wireless air interface ticket. In addition, an analysis method for monitoring the influence of the user service behavior on the network by analyzing the service ticket record of the core side A10 interface and the signaling ticket record of A11 is also provided. However, at present, the two independent analysis methods cannot effectively correlate and comprehensively analyze the a10 and a11 records and the wireless air interface records according to the user, and cannot establish a network planning index system including both the transmission control information and the user behavior information.
On the other hand, the types of data services carried in the CDMA network are increasing, and the conventional network planning focuses on network carrying capacity and KPI index planning. As the concept of "traffic management" becomes more and more important in the future development of operators, planning based on service, terminal type and user behavior data becomes more and more important, and in order to meet the requirements of CDMA networks and future mobile internet network planning mainly based on data services, it is urgently needed to establish a set of planning scheme based on mobile internet characteristics. And the key indexes are predicted through a prediction algorithm, so that the development trends of services and regions are obtained, and a reference basis is provided for network planning.
Disclosure of Invention
Aiming at the defects of mobile data network planning in the prior art, the invention provides a mobile internet network planning method and a mobile internet network system based on data association between a wireless side and an RP side and capable of comprehensively reflecting key indexes of the RP side of network load and user service behaviors.
According to an aspect of the present invention, there is provided a mobile internet network planning method based on data association between a wireless side and an RP side, comprising the steps of:
acquiring a wireless air interface main parameter of a wireless side and an associated ticket of a signaling service main parameter of an RP side;
performing cluster analysis on the wireless air interface main parameters and the signaling service main parameters to obtain RP side signaling service parameters equivalent to the wireless air interface main parameters;
establishing an index system of network planning including the wireless air interface main parameters and the RP side signaling service parameters; and
and analyzing and evaluating the network resource occupation status of different user data services through the index system so as to plan the data network based on the actual use service of the user.
In an embodiment of the present invention, the step of obtaining an association ticket of a wireless air interface main parameter at a wireless side and a RP side signaling service main parameter includes: extracting each call ticket record of the wireless side; extracting the RP side ticket records with the same user session identification; and integrating each call ticket record of the wireless side and the call ticket record of the RP side to form the associated call ticket.
In an embodiment of the foregoing method, the obtaining the radio air interface main parameter of the radio side and the associated ticket of the signaling service main parameter of the RP side further includes: setting a user session identifier of an RP interface service data record; according to the user session identification, associating the service ticket record of the A10 interface with the signaling ticket record of the A11 interface; and associating the signaling call ticket record of the A11 interface with the wireless air interface record.
In an embodiment of the foregoing, the step of performing cluster analysis on the wireless air interface main parameter and the signaling service main parameter to obtain an RP side signaling service parameter equivalent to the wireless air interface main parameter further includes: performing clustering analysis on the wireless air interface main parameters by adopting a K-means clustering algorithm to obtain main index parameters influencing a wireless network; and carrying out strong association on main index parameters influencing the wireless network and the RP side, and determining RP side signaling service parameters equivalent to the main wireless air interface parameters.
In one embodiment, the mobile internet is a CDMA network.
According to another aspect of the present invention, there is provided a network system formed by using the above-mentioned mobile internet network planning method based on data association between a wireless side and an RP side, including:
the system comprises an acquisition server, a Base Transceiver Station (BTS) and a Packet Data Serving Node (PDSN), wherein the acquisition server is arranged between the BTS and the PDSN and is used for acquiring a radio telephone bill of an RP side;
the system comprises an association ticket analysis platform, a network optimization analysis platform and an acquisition server, wherein the association ticket analysis platform is coupled to the network optimization analysis platform and the acquisition server and is used for acquiring a wireless side ticket from the network optimization analysis platform and associating the wireless side ticket with a user service ticket at an RP side so as to establish an index system of network planning comprising the wireless side ticket and the user service ticket; and
and the data mining platform is coupled to the associated ticket analysis platform and is used for analyzing the associated indexes in the index system so as to obtain the development trend of the key business of the whole network and the load condition of the load of the hot spot area.
In one embodiment, the acquisition server is located at the A10/A11 interface.
In an embodiment of the present invention, the network system further includes a Pi acquisition server, which is disposed between the packet data service node and the internet, and is configured to acquire a user service ticket at an RP side.
In one embodiment, the network system further includes a user edge device disposed between the Pi collecting server and the internet.
In an embodiment of the present invention, the association ticket analysis platform is further configured to extract each ticket record of the wireless side and an RP side ticket record with the same user session identifier, and integrate each ticket record of the wireless side and the RP side ticket record to form an association ticket.
Compared with the prior art, the invention firstly applies the cluster analysis method to carry out cluster analysis on the wireless network performance index and the data service index of the user by combining the traditional network analysis index, and obtains the service-based data network evaluation model of the RP side equivalent to the wireless air interface parameter, thereby establishing an index system of network planning including the wireless side call ticket and the user service call ticket. In addition, the index system can realize the analysis and evaluation of the network resource occupation status of different user data services, and is convenient for network planners to plan the data network from the perspective of the actual service use of users.
Moreover, the method for analyzing the wireless network planning problem at present has the following advantages that:
(1) user service information is added in wireless network planning
The wireless network planning is usually performed by adopting wireless side network transmission control parameters, and because the problem of data service characteristics in each air interface connection of a user cannot be known, the network planning is limited to relevant parameters of the wireless network, so that user behavior information cannot be reflected, and the reason of wireless network parameter change cannot be explained. The association of the user behavior information recorded by the signaling service ticket of the RP side interface and the wireless air interface parameter of the wireless side can solve the problem of embodying the service information of the user in the wireless network planning;
(2) establishes a new index system for wireless network planning based on service types
Based on the fact that the traditional wireless network planning indexes cannot reflect the requirements and experiences of users, the wireless air interface index parameters at the wireless side are associated with the signaling service parameters of an RP side interface, and a cluster analysis method is adopted to perform cluster analysis on the index sets of the wireless air interface index parameters and the RP side interface signaling service parameters, so that the RP side user service index parameters equivalent to the traditional wireless network planning index parameters are obtained, and a complete network planning index system is constructed;
(3) network planning scheme based on user data service model
The planning scheme of the traditional mobile data network mainly observes indexes such as the number of equivalent users, air interface connection duration, connection times and the like, and the condition that specific data services occupy network resources can be divided by using equivalent index parameters of an RP side. And reasonably planning the resources of the whole network according to the development trends of the service model, the user model and the terminal model of the whole network.
Drawings
The various aspects of the present invention will become more apparent to the reader after reading the detailed description of the invention with reference to the attached drawings. Wherein,
fig. 1 is a schematic diagram illustrating a network planning of a conventional mobile data network;
fig. 2 is a schematic structural diagram of a network system formed by network planning based on a mobile data network associated with data between a wireless side and an RP side according to an embodiment of the present invention;
fig. 3 shows a schematic diagram of a network planning using the network system of fig. 2; and
fig. 4 shows a flow diagram of a mobile internet network planning method based on data association between a wireless side and an RP side according to another embodiment of the present invention.
Detailed Description
In order to make the present disclosure more complete and complete, reference is made to the accompanying drawings, in which like references indicate similar or analogous elements, and to the various embodiments of the invention described below. However, it will be understood by those of ordinary skill in the art that the examples provided below are not intended to limit the scope of the present invention. In addition, the drawings are only for illustrative purposes and are not drawn to scale.
Specific embodiments of various aspects of the present invention are described in further detail below with reference to the accompanying drawings.
Fig. 1 is a schematic diagram illustrating a network planning of a conventional mobile data network. Referring to fig. 1, when a network is planned in a conventional mobile data network, a network optimization tool (i.e., a network optimization analysis tool) and a data analysis tool are mainly used for implementing the network planning. The network optimization tool performs data optimization on the traffic system index, the drive test data and the core network DPI, and then performs predictive analysis on the optimized data by adopting a special data analysis tool so as to facilitate network planning personnel to plan a data network. In addition, the prediction analysis result can also realize a plurality of performance parameters such as coverage optimization, performance optimization, resource optimization and the like.
However, this network planning method requires collecting multi-party data for analysis, and the data collection pressure is large. In addition, the method is mainly based on the voice system index and the drive test data of the wireless side, and is biased to cover, call and flow, and the data service index is only full network, and the incidence relation between the bearing service and the wireless network cannot be reflected. Therefore, the network planning is only limited to relevant parameters of the wireless network, and the user behavior information cannot be reflected, and the reason of the change of the wireless network parameters cannot be explained.
In order to solve the above problems in the prior art, the present invention provides a mobile data network system based on data association between a wireless side and an RP side. Fig. 2 is a schematic structural diagram of a network system formed by network planning based on a mobile data network associated with data between a wireless side and an RP side according to an embodiment of the present invention. Fig. 3 shows a schematic diagram of a network planning using the network system of fig. 2.
Referring to fig. 2 and fig. 3, the network system mainly comprises an a10/a11 acquisition server, an associated ticket analysis platform and a data mining platform. In detail, the a10/a11 collection server is disposed between a Base Transceiver Station (BTS) and a Packet Data Serving Node (PDSN), and is configured to collect a radio bill on the RP side. The associated ticket analysis platform is coupled to the network optimization analysis platform and an A10/A11 acquisition server, and is used for acquiring a wireless side ticket from the network optimization analysis platform and associating the wireless side ticket with a user service ticket at an RP side, so that an index system of network planning including the wireless side ticket and the user service ticket is established. The data mining platform is coupled to the associated ticket analysis platform and is used for analyzing the associated indexes in the index system so as to obtain the development trend of the key business of the whole network and the load condition of the load of the hot spot area.
In a specific embodiment, the network system further includes a Pi collection server, disposed between the Packet Data Serving Node (PDSN) and the Internet (Internet) (such as at a Pi interface), for collecting a user service ticket at the RP side. Further, the network system further includes a Customer Edge (CE) disposed between the Pi acquisition server and the internet.
In a specific embodiment, the association ticket analysis platform is further configured to extract each ticket record of the wireless side and an RP side ticket record with the same user session identifier, and integrate each ticket record of the wireless side and the RP side ticket record to form an association ticket. For example, the association ticket analysis platform sets a user session identifier of an RP interface service data record, associates a service ticket record of an a10 interface with a signaling ticket record of an a11 interface according to the user session identifier, and associates the signaling ticket record of the a11 interface with a wireless air interface record.
Compared with the prior art, the invention firstly applies the cluster analysis method to carry out cluster analysis on the wireless network performance index and the data service index of the user by combining the traditional network analysis index, and obtains the service-based data network evaluation model of the RP side equivalent to the wireless air interface parameter, thereby establishing an index system of network planning including the wireless side call ticket and the user service call ticket. In addition, the index system can realize the analysis and evaluation of the network resource occupation status of different user data services, and is convenient for network planners to plan the data network from the perspective of the actual service use of users.
Fig. 4 shows a flow diagram of a mobile internet network planning method based on data association between a wireless side and an RP side according to another embodiment of the present invention.
Referring to fig. 4, in the network planning method, first, a wireless air interface main parameter of a wireless side and an association ticket of a signaling service main parameter of an RP side are obtained, then, the wireless air interface main parameter and the signaling service main parameter are subjected to cluster analysis, an RP side signaling service parameter equivalent to the wireless air interface main parameter is obtained, then, an index system for network planning including the wireless air interface main parameter and the RP side signaling service parameter is established, and finally, network resource occupation conditions of different user data services are analyzed and evaluated through the established index system, so that a data network is planned based on actual use services of users.
According to the method, the wireless air interface main parameter of the wireless side and the associated call ticket of the signaling service main parameter of the RP side are utilized, and the limitation of optimizing the mobile data network planning based on the wireless air interface index in the traditional mobile wireless network can be overcome. The RP side parameters can directly reflect the service behavior information of the user, and the direct adoption of the RP side parameters in network optimization is helpful for reflecting the influence of the behavior information of the user on the network in network planning, so that a complete parameter system for data network planning is formed. The parameter system combines the control transmission parameters and the user behavior parameters, so that the wireless network can be planned in the aspect of control transmission, and the explanation of planning and wireless parameter selection can be made for the wireless network in the aspect of user behavior, so that the network planning is closer to the requirements of users.
In a specific embodiment, the step of obtaining an association ticket of a wireless air interface main parameter at a wireless side and a RP side signaling service main parameter includes: extracting each call ticket record of the wireless side; extracting the RP side ticket records with the same user session identification; and integrating each call ticket record of the wireless side and the call ticket record of the RP side to form an associated call ticket. Preferably, a user session identifier of the RP interface service data record is set first, then the service ticket record of the a10 interface is associated with the signaling ticket record of the a11 interface according to the user session identifier, and then the signaling ticket record of the a11 interface is associated with the wireless air interface record.
In a specific embodiment, the step of performing cluster analysis on the wireless air interface main parameter and the signaling service main parameter to obtain an RP side signaling service parameter equivalent to the wireless air interface main parameter further includes: performing clustering analysis on the wireless air interface main parameters by adopting a K-means clustering algorithm to obtain main index parameters influencing a wireless network; and carrying out strong association on the main index parameters influencing the wireless network and the RP side, and determining the RP side signaling service parameters equivalent to the main wireless air interface parameters.
Compared with the prior art, the method for analyzing the wireless network planning problem has the following advantages that the method is limited by the existing wireless network planning problem analysis method:
(1) user service information is added in wireless network planning
The wireless network planning is usually performed by adopting wireless side network transmission control parameters, and because the problem of data service characteristics in each air interface connection of a user cannot be known, the network planning is limited to relevant parameters of the wireless network, so that user behavior information cannot be reflected, and the reason of wireless network parameter change cannot be explained. The association of the user behavior information recorded by the signaling service ticket of the RP side interface and the wireless air interface parameter of the wireless side can solve the problem of embodying the service information of the user in the wireless network planning;
(2) establishes a new index system for wireless network planning based on service types
Based on the fact that the traditional wireless network planning indexes cannot reflect the requirements and experiences of users, the wireless air interface index parameters at the wireless side are associated with the signaling service parameters of an RP side interface, and a cluster analysis method is adopted to perform cluster analysis on the index sets of the wireless air interface index parameters and the RP side interface signaling service parameters, so that the RP side user service index parameters equivalent to the traditional wireless network planning index parameters are obtained, and a complete network planning index system is constructed;
(3) network planning scheme based on user data service model
The planning scheme of the traditional mobile data network mainly observes indexes such as the number of equivalent users, air interface connection duration, connection times and the like, and the condition that specific data services occupy network resources can be divided by using equivalent index parameters of an RP side. And reasonably planning the resources of the whole network according to the development trends of the service model, the user model and the terminal model of the whole network.
Hereinbefore, specific embodiments of the present invention are described with reference to the drawings. However, those skilled in the art will appreciate that various modifications and substitutions can be made to the specific embodiments of the present invention without departing from the spirit and scope of the invention. Such modifications and substitutions are intended to be included within the scope of the present invention as defined by the appended claims.
Claims (10)
1. A mobile internet network planning method based on data association between a wireless side and an RP side is characterized by comprising the following steps:
acquiring a wireless air interface main parameter of a wireless side and an associated ticket of a signaling service main parameter of an RP side;
performing cluster analysis on the wireless air interface main parameters and the signaling service main parameters to obtain RP side signaling service parameters equivalent to the wireless air interface main parameters;
establishing an index system of network planning including the wireless air interface main parameters and the RP side signaling service parameters; and
and analyzing and evaluating the network resource occupation status of different user data services through the index system so as to plan the data network based on the actual use service of the user.
2. The mobile internet network planning method based on the data association between the wireless side and the RP side according to claim 1, wherein the step of obtaining the association ticket of the wireless air interface main parameter of the wireless side and the RP side signaling service main parameter comprises:
extracting each call ticket record of the wireless side;
extracting the RP side ticket records with the same user session identification; and
and integrating each call ticket record of the wireless side and the call ticket record of the RP side to form the associated call ticket.
3. The method for planning a mobile internet network according to claim 2, wherein the obtaining of the association ticket of the wireless air interface main parameter of the wireless side and the signaling service main parameter of the RP side further comprises:
setting a user session identifier of an RP interface service data record;
according to the user session identification, associating the service ticket record of the A10 interface with the signaling ticket record of the A11 interface; and
and associating the signaling call ticket record of the A11 interface with the wireless air interface record.
4. The method for planning a mobile internet network according to claim 1, wherein the step of performing cluster analysis on the wireless air interface main parameters and the signaling service main parameters to obtain RP side signaling service parameters equivalent to the wireless air interface main parameters further comprises:
performing clustering analysis on the wireless air interface main parameters by adopting a K-means clustering algorithm to obtain main index parameters influencing a wireless network; and
and carrying out strong association on the main index parameters influencing the wireless network and the RP side, and determining the RP side signaling service parameters equivalent to the main wireless air interface parameters.
5. The method of claim 1, wherein the mobile internet is a CDMA network.
6. A network system formed by adopting the mobile internet network planning method based on data association between a wireless side and an RP side of claim 1, wherein the network system comprises:
the system comprises an acquisition server, a Base Transceiver Station (BTS) and a Packet Data Serving Node (PDSN), wherein the acquisition server is arranged between the BTS and the PDSN and is used for acquiring a radio telephone bill of an RP side;
the system comprises an association ticket analysis platform, a network optimization analysis platform and an acquisition server, wherein the association ticket analysis platform is coupled to the network optimization analysis platform and the acquisition server and is used for acquiring a wireless side ticket from the network optimization analysis platform and associating the wireless side ticket with a user service ticket at an RP side so as to establish an index system of network planning comprising the wireless side ticket and the user service ticket; and
and the data mining platform is coupled to the associated ticket analysis platform and is used for analyzing the associated indexes in the index system so as to obtain the development trend of the key business of the whole network and the load condition of the load of the hot spot area.
7. The network system of claim 6, wherein the collection server is located at an A10/A11 interface.
8. The network system according to claim 6, wherein the network system further comprises a Pi collection server, disposed between the packet data service node and the internet, for collecting the user service ticket at the RP side.
9. The network system of claim 8, further comprising a user edge device disposed between the Pi acquisition server and the internet.
10. The network system of claim 6, wherein the association ticket analysis platform is further configured to extract each ticket record of the wireless side and an RP side ticket record with the same user session identifier, and integrate each ticket record of the wireless side and the RP side ticket record to form an association ticket.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510114498.9A CN104703192A (en) | 2015-03-16 | 2015-03-16 | Network planning method of mobile internet and network system thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510114498.9A CN104703192A (en) | 2015-03-16 | 2015-03-16 | Network planning method of mobile internet and network system thereof |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104703192A true CN104703192A (en) | 2015-06-10 |
Family
ID=53349874
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510114498.9A Pending CN104703192A (en) | 2015-03-16 | 2015-03-16 | Network planning method of mobile internet and network system thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104703192A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107734534A (en) * | 2016-08-10 | 2018-02-23 | 中国移动通信集团黑龙江有限公司 | A kind of network load appraisal procedure and device |
| CN111818562A (en) * | 2019-04-12 | 2020-10-23 | 中国移动通信集团福建有限公司 | A method and system for network evaluation in a VoLTE call system |
| CN113038537A (en) * | 2019-12-24 | 2021-06-25 | 中国移动通信集团四川有限公司 | Method and electronic equipment for allocating mobile network spectrum resources |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1703670A1 (en) * | 2005-03-18 | 2006-09-20 | Alcatel | Device for optimisation of configuration models of cells in a radio communication network |
| CN102752123A (en) * | 2011-04-20 | 2012-10-24 | 中国移动通信集团设计院有限公司 | Method and device for forecasting flow and configuring capacity of network equipment interface |
| CN103841509A (en) * | 2012-11-20 | 2014-06-04 | 中国电信股份有限公司 | Method and apparatus for associating wireless resource with service information in mobile network |
| CN104144069A (en) * | 2013-05-10 | 2014-11-12 | 中国电信股份有限公司 | Method and device for correlating wireless side call data records and user service behaviors |
-
2015
- 2015-03-16 CN CN201510114498.9A patent/CN104703192A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1703670A1 (en) * | 2005-03-18 | 2006-09-20 | Alcatel | Device for optimisation of configuration models of cells in a radio communication network |
| CN102752123A (en) * | 2011-04-20 | 2012-10-24 | 中国移动通信集团设计院有限公司 | Method and device for forecasting flow and configuring capacity of network equipment interface |
| CN103841509A (en) * | 2012-11-20 | 2014-06-04 | 中国电信股份有限公司 | Method and apparatus for associating wireless resource with service information in mobile network |
| CN104144069A (en) * | 2013-05-10 | 2014-11-12 | 中国电信股份有限公司 | Method and device for correlating wireless side call data records and user service behaviors |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107734534A (en) * | 2016-08-10 | 2018-02-23 | 中国移动通信集团黑龙江有限公司 | A kind of network load appraisal procedure and device |
| CN107734534B (en) * | 2016-08-10 | 2020-10-30 | 中国移动通信集团黑龙江有限公司 | A kind of network load assessment method and device |
| CN111818562A (en) * | 2019-04-12 | 2020-10-23 | 中国移动通信集团福建有限公司 | A method and system for network evaluation in a VoLTE call system |
| CN111818562B (en) * | 2019-04-12 | 2023-04-07 | 中国移动通信集团福建有限公司 | Network evaluation method and system in VoLTE (Voice over Long term evolution) call system |
| CN113038537A (en) * | 2019-12-24 | 2021-06-25 | 中国移动通信集团四川有限公司 | Method and electronic equipment for allocating mobile network spectrum resources |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102256290B (en) | Method for collecting abnormal data of TD-SCDMA (Time Division-Synchronization Code Division Multiple Access) wireless communication network user terminal | |
| EP3214861B1 (en) | Method, device and system for detecting fraudulent user | |
| CN105227369B (en) | Based on the mobile Apps of the mass-rent pattern analysis method to the Wi-Fi utilization of resources | |
| CN1857011A (en) | Method and apparatus for determining gaps in cellular phone area coverage | |
| US20130223263A1 (en) | Method and Device for Classifying Wireless Data Service | |
| CN102711162A (en) | Method for monitoring network quality and optimizing user experience in mobile internet | |
| CN105679335B (en) | Speech quality assessment method and system based on no line analysis | |
| CN106973379B (en) | Re-entry network identification method and device | |
| CN115659217A (en) | Fraud recognition model training method and device, electronic equipment and storage medium | |
| CN102026234B (en) | Statistical analysis method for GSM network calling/called loss | |
| CN111163482B (en) | Data processing method, device and storage medium | |
| CN102256297A (en) | TD-SCDMA (Time Division-Synchronization Code Division Multiple Access) wireless communication network service user perception data collection method | |
| CN104703192A (en) | Network planning method of mobile internet and network system thereof | |
| CN102056210A (en) | Network quality monitoring method and device | |
| CN103024767A (en) | Mobile communication service end-to-end performance evaluation method and system | |
| KR20200061666A (en) | Method and Apparatus for Providing Population Guidance Service | |
| CN113723788A (en) | Internet of things card risk identification method and system based on multi-dimensional correlation detection model | |
| CN108235368B (en) | Method and device for determining wireless resources occupied by service | |
| CN110120883B (en) | Method and device for evaluating network performance and computer readable storage medium | |
| CN116633673B (en) | Data safety transmission system for comprehensive energy platform | |
| US20070004399A1 (en) | Quality assessment for telecommunications network | |
| Habibi et al. | Measurement and Analysis of Quality of Service of Mobile Networks in Afghanistan End User Perspective | |
| CN100405870C (en) | A system and method for collecting and using user characteristic data to identify users | |
| CN112243257B (en) | A coverage black hole identification method and system for wireless cells | |
| US12375379B2 (en) | Systems and methods for identifying spatial clusters of users having poor experience in a heterogeneous network |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| AD01 | Patent right deemed abandoned | ||
| AD01 | Patent right deemed abandoned |
Effective date of abandoning: 20181204 |