CN102149103B - Network optimizing system and method - Google Patents

Network optimizing system and method Download PDF

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Publication number
CN102149103B
CN102149103B CN 201110090494 CN201110090494A CN102149103B CN 102149103 B CN102149103 B CN 102149103B CN 201110090494 CN201110090494 CN 201110090494 CN 201110090494 A CN201110090494 A CN 201110090494A CN 102149103 B CN102149103 B CN 102149103B
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data
network
grid
signaling
optimization
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CN 201110090494
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CN102149103A (en
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陈雷
张世昱
米凯
曹巍
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北京铭润创展科技有限公司
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Abstract

The invention discloses a network optimizing system and a network optimizing method. The system comprises a signaling acquisition device, a database server, a data processing module and an optimizing application module, wherein the signaling acquisition device is used for acquiring signaling data from a mobile communication network and storing the acquired signaling data; the database server is used for storing acquired network optimizing analysis auxiliary data and storing the processed signaling data; the data processing module is used for gathering network optimizing analysis basic data and the network optimizing analysis auxiliary data and accomplishing a multilayer database framework for data processing and application; and an optimizing worker calls an analysis result in a multilayer data framework in a data analysis module through the application module so as to realize work in the network optimizing process. By the network optimizing system and the network optimizing method, comprehensive data can be acquired, network problems can be truly and comprehensively reflected, and network performance can be further optimized comprehensively.

Description

Network optimization system and method
Technical field
The present invention relates to the mobile communication network optimization technical field, specifically a kind of mobile communication network optimization system and method.
Background technology
Mobile communication network optimization is normally defined mobile operator complete the communication network development after, network optimization personnel find and solve the variety of issue existed in network by the multiple technologies means, reach the purpose that improves mobile communication network device performance, network check-up quality, mobile subscriber's satisfaction.This work be the maintenance work of network conventional operation distillation, be that the network O&M quality constantly promotes indispensable routine work.
The mobile communication network optimization of present stage is mainly pinpointed the problems by means such as the test (DT) of driving, speech quality test (CQT), network performance statistical report, customer complaints.
Network optimization staff is by the test (DT) of being driven of the test road of planning in advance, and use test software analyzed sampled data, finds and solve the wireless issue of institute's test zone.In addition, key area, city (as: government bodies, large enterprise, hospital, station, tourist attractions etc.) are carried out to speech quality test (CQT), guarantee that these regional voice, data service are normal.For network level, the optimization personnel need to report from network operation maintenance centre (OMCR) collection network performance statistics, carry out statistical analysis for not up to standard in performance assessment criteria item (such as wireless system call completing rate, cutting off rate, paging success rate, handover success rate etc.) or the larger project of fluctuation, investigation problem reason is also solved.In addition, radio network optimization need to be paid a return visit the complaint problem points of public users, and the problem that the user is reflected is processed.
Present stage, there was following shortcoming in the mobile communication network optimization technology:
1) means of pinpointing the problems are single, can't grasp network condition comprehensively
The current network optimization is only pinpointed the problems by means such as the test (DT) of driving, speech quality test (CQT), network performance statistical report, customer complaints.
Drive to test the wireless network performance situation that (DT) only can reflect tested road radiation areas, to the zone of not testing, can't find the network problem of its existence.
Speech quality test (CQT) same only for as: the key area that the groups such as government bodies, large enterprise, hospital, station, tourist attractions patrol and examine is tested, and manyly such as residential block, high density building, high-rise overlay area, small towns, factories and miness, can't understand in detail its network coverage situation.
The method of above two kinds of discovering network problems is to catch the medium and small probability anomalous event of network by the work of magnanimity, and capture rate is low, because the reproduction possibility of the in esse problem of network is little.So can not realize the perfect network optimization.
The network performance statistical indicator is to the homogenizing index of certain time period, certain Local Area Network service ability, for accident, difficult event and recessive problem etc., can't present in detail.
Customer complaint is generally that network problem reaches capacity user's TL just can to occur, and the recessive network problem that those are not complained may be difficult to be found; Secondly there is very large randomness in the problem of customer complaint, is difficult to the recurrent network problem during on-the-spot test; The 3rd customer complaint and customer group self tolerance degree and structure of personnel have relation, and some customer group may not can report network problem with the form of complaining, and directly personal feeling is married again to carrier network, affects the popular public sentiment evaluation of operator.
2) network optimization purpose is single, generally with index, is promoted to purpose, can't take into account the actual service performance lifting of user's impression and network
The problem of finding in the analysis of network performance statistical report general only for the network performance assessment criteria, promote and drive test (DT), speech quality test (CQT), customer complaint is analyzed, can't find and predict the network potential problems, lifting for network integrity service performance, the problems such as the optimization of network element performance also can't fully be paid attention to, and in fact these actions will be related to operator's income and the user experiences conscientiously.
3) the Optimization Work quality relies on optimization personnel's technical capability and Optimization Experience, is difficult to guarantee continual and steady
The network optimization is had relatively high expectations to optimizing personnel's technical capability and Optimization Experience.Different optimization engineers is different for same case study direction, processing means and effect of optimization.Therefore when reality solves network problem, the difference of technical capability and Optimization Experience, may cause its effect of optimization completely different.
And network optimization work is generally according to project invitation for bid, carrying out at times, therefore, when occurring optimizing personnel amendment or network configuration variation, network service quality can't ensure.
4) accurate fixer network problem
Traditional statistical analysis mode, simply network event to be carried out to statistical summaries, its positioning precision minimum is cell-level index (cell), general Yi Ge community in urban district covering diameter 1.5 kilometers left and right, fringe area is larger, rural area even reaches tens kilometers, and there is the problem that positioning precision is inadequate and incident can't be filtered in this kind of statistical.
5) personnel cost, equipment cost are too high
The structure of personnel of the team of the network optimization at present be take a medium-sized city as example (base station number is in the network size of 1000 left and right), its test/test analysis personnel amount is generally 20, BSS engineer and is generally 8, optimizes 1 of project manager, other supporting personnel, as test 4 of drivers, 4 of tower works, add up to the minimum 40-50 of needs people.Optimized device relates generally to network test instrument, test analysis AM/BAM software, interference analysis instrument, frequency sweep equipment, testing vehicle, BSS Performance Analysis Software, signaling instrument, signalling analysis software etc.Equipment cost is as follows: the quotation of the legal testing software of the Tems of Ericsson exists more than 400,000; The quotation of Tektronix interference analysis instrument YBT250 exists more than 200,000; Signaling instrument K1205 exists more than 600,000.
Therefore personnel cost, equipment cost are too high becomes the drawback that general networks is optimized.If reduce merely personnel and equipment cost, must cause the decline of optimization means and optimization ability, and then affect network optimization effect.
Summary of the invention
In order to solve the above-mentioned problems in the prior art, the invention provides a kind of network optimization system, the data of network optimization system of the present invention are comprehensive, truly comprehensive reaction network problem, and then network performance is optimized comprehensively, change the working method that legacy network is optimized.
In order to solve the problems of the technologies described above, the present invention has adopted following technical scheme:
Network optimization system, comprise signaling acquisition device, database server, data processing module and optimization application module, wherein
Signaling acquisition device, gather signaling data as network optimization analysis foundation data from mobile communication network, and the signaling data of storage of collected;
Database server, auxiliary data is analyzed in the network optimization that comprises wireless network basic data, user data and DT data of storage of collected; Reach the data of for the network optimization, inquiring about, adding up and transfer that storage generates after data processing module processing signaling data;
Data processing module, gather network optimization analysis foundation data and the network optimization and analyze auxiliary data, complete that data are processed and analyze, and will process and multi-layered database framework that analysis result is stored to database server is inquired about to realize the required data correlation of the network optimization, problem points alignment by union and problem data;
Optimizing application module, is the man-machine interface of network optimization system, for processing and the analysis result in the multi-layer data framework of calling data storehouse server.
Further, described signaling acquisition device comprises signal collecting unit (PCD) and signal collecting server, mobile communication network comprises 2G internet and 3G network, the signal collecting unit is from the A interface (interface between base station controller (BSC)-mobile switching centre (MSC)) of 2G network, Abis interface (interface between base station (BTS)-base station controller (BSC)) and Gb Interface (interface between base station controller (BSC)-serving GPRS support node (SGSN)) carry out the collection of signaling data or from the Iu_b interface (interface between radio network controller (RNC)-base station (NodeB)) of 3G network, Iu_CS interface (interface between radio network controller (RNC)-switched circuit territory) and Iu_PS interface (interface between radio network controller (RNC)-swap data territory) carry out the collection of signaling data, and the signaling data of collection is converted into after the IP form to the magnanimity disk array (RAID) that is stored to the signal collecting server.
Further, described signal collecting unit is comprised of the signal collecting board, when the signal collecting board while being a plurality of, by the network switch, the signaling data of a plurality of signal collecting boards outputs is converged to the magnanimity disk array that convergence transfers to the signal collecting server and stored.
Further, wherein
Described multi-layered database framework comprises one-level database and second databases;
Described data processing module, generate the location factor according to the DT data, signaling data is processed and according to location factor physics and chemistry label additionally, above-mentioned signaling result is stored to the one-level database, and the one-level database comprises the MR measured database that is mutually related, problem signaling process database and signaling optimization basis staqtistical data base; , generate corresponding analysis result and be stored to second databases one-level database difference finishing analysis according to network optimization content.
Further, described data processing module generates the location factor according to the DT data and additionally the step of physics and chemistry label is as follows to data signaling:
S1, the generation location factor:
A. at first, the geographic area that system will be covered, the size according to formulating, be divided into grid, gives each grid numbering;
B. filter out the grid that the DT data cover arrives;
C. based on the DT data, calculate above each grid each level range for each community, the probability of appearance;
D. with one group of probability statistics value, as the location factor of a grid, preservation is got up;
E. next process again the grid do not arrived by the DT data cover;
F. travel through all grids of not locating the factor;
G. calculate the quantity of each grid of not locating factor grid that the location factor is arranged on every side;
H. from the maximum grid of not locating the factor of quantity that the grid of locating the factor is arranged on every side, start to process;
I. from around have the grid of the location factor to extract the location factor, first according to mean value computation, go out one group of location factor, traversal is located factor Zhong community again, find successively the grid at these places, community, calculate the azimuthal relation of current grid and place, community grid and community, extrapolating current grid should increase or reduce for the probability of occurrence of community, and the amount changed;
J. the location factor using the result of calculating as current grid preserves;
K. repeating step f to j, until all grids have the location factor;
S2, filter out the conversation each time in signaling data, the measurement report (MR) in conversation is extracted, comprehensive statistics goes out each community, in certain level range, and the probability of appearance;
S3, travel through the location factor of all grids, calculate the involved community of itself and current talking and the matching degree of level range, according to matching degree, calculate probable value;
S4, find out 5 grids that probability is the highest, calculate the center of gravity of these 5 grids, be the position of this conversation.
Another object of the present invention is for a kind of network optimized approach is provided, and network optimized approach of the present invention is comprehensive reaction network problem truly, and then network performance is optimized comprehensively.
The technical scheme that realizes this purpose is as follows:
Network optimized approach, comprise the steps:
A. data acquisition, gather signaling data storage from mobile communication network, as network optimization analysis foundation data; Gather wireless network basic data, user data, geographical basis information data and DT data, as the network optimization, analyze auxiliary data;
B. auxiliary data is analyzed in aggregation step A gathers network optimization analysis foundation data and the network optimization, completes data and processes and analyze, and will process and analysis result is stored to the multi-layered database framework; Realize the required data correlation of the network optimization, problem points alignment by union and problem data inquiry by the multi-layered database framework;
C. call corresponding data according to the content of the network optimization from the multi-layered database framework of step B.
Further, mobile communication network comprises 2G internet and 3G network, carry out the collection of signaling data or carry out the collection of signaling data from Iu_b interface, Iu_CS interface and the Iu_PS interface of 3G network from A interface, Abis interface and the Gb Interface of 2G network by the signal collecting unit, and being stored after the signaling data of collection is converted into to the IP form.
Further, described signal collecting unit is comprised of the signal collecting board, when the signal collecting board, while being a plurality of, the magnanimity disk array that a plurality of signal collecting board outgoing signaling convergences convergences is transferred to the signal collecting server by the network switch is stored.
Further, data in step B are processed and are comprised according to the DT data generation location factor and signaling data is processed, and the physics and chemistry label additionally of the signaling data after processing according to the location factor pair, thereby be configured for the one-level database on the basis of network optimization analysis, the one-level database comprises the MR measured database that is mutually related, problem signaling process database and signaling optimization basis staqtistical data base; And according to network optimization content, the one-level database is distinguished to finishing analysis, and generate corresponding analysis result, form second databases.
Further, generate the location factor according to the DT data and additionally the step of physics and chemistry label is as follows to data signaling:
S1, the generation location factor:
A. at first, the geographic area that system will be covered, the size according to formulating, be divided into grid, gives each grid numbering;
B. filter out the grid that the DT data cover arrives;
C. based on the DT data, calculate above each grid each level range for each community, the probability of appearance;
D. with one group of probability statistics value, as the location factor of a grid, preservation is got up;
E. next process again the grid do not arrived by the DT data cover;
F. travel through all grids of not locating the factor;
G. calculate the quantity of each grid of not locating factor grid that the location factor is arranged on every side;
H. from the maximum grid of not locating the factor of quantity that the grid of locating the factor is arranged on every side, start to process;
I. from around have the grid of the location factor to extract the location factor, first according to mean value computation, go out one group of location factor, traversal is located factor Zhong community again, find successively the grid at these places, community, calculate the azimuthal relation of current grid and place, community grid and community, extrapolating current grid should increase or reduce for the probability of occurrence of community, and the amount changed;
J. the location factor using the result of calculating as current grid preserves;
K. repeating step f to j, until all grids have the location factor;
S2, filter out the conversation each time in signaling data, the measurement report (MR) in conversation is extracted, comprehensive statistics goes out each community, in certain level range, and the probability of appearance;
S3, travel through the location factor of all grids, calculate the involved community of itself and current talking and the matching degree of level range, according to matching degree, calculate probable value;
S4, find out 5 grids that probability is the highest, calculate the center of gravity of these 5 grids, be the position of this conversation.
Compared with prior art, beneficial effect of the present invention is:
1) the present invention is by gathering signaling data at 2G network (A interface, Abis interface and Gb Interface) or 3G network (Iu_b interface, Iu_CS interface and Iu_PS interface), using signaling data as network optimization analysis foundation data, overcome the single drawback of original means of pinpointing the problems.
Signaling is the basis of the normal operation of network, any once foundation of conversation is all the mutual result of network signal, in contrast should any primary network anomalous event all can be on signaling marks to some extent all, all network performance indexes are all to take signaling as statistic unit, therefore only have signaling could the most comprehensively reflect the ruuning situation of network.Therefore by A mouth and the Abis mouth signaling that continues, the collection of measurement report (MR) and to the association analysis of signaling data, overcome the drawback that the means of pinpointing the problems are single;
2) the present invention pays close attention to the lifting of index, user awareness and network performance simultaneously, and does detailed division at application side.
On the action basis of optimizing at legacy network, consider the analysis optimization to user's impression and network performance, utilize that signaling data is comprehensive, the accurate advantage of location algorithm, make original index optimization work, user awareness promote the level network performance and promote and obtained in-depth and unified.
The optimization applying portion of network optimization system of the present invention and method is comprehensively detailed, comprises: network index optimization, VIP user/VIP area guarantee, wireless parameter intelligent checking, switching automatic analysis, signaling optimization, frequency planning assistant analysis, zone (LAC district/RAC district) optimization, customer complaint assistant analysis, road/modules such as rds data analysis.Above-mentioned module all can be presented by GIS ground physics and chemistry information platform.
3) the invention provides powerful auxiliary optimizational function, offer and optimize the personnel optimization experience, guarantee that optimum level is continual and steady.
Existing network is adjusted experience and optimized case is enough to provide powerful technical support.The present invention can provide to the network problem of finding the solution of reference.All can automatically produce prompting for the problem points of finding in signalling analysis, and present by generalized information system, simultaneously with the in addition alarm of the mode of list.The reason produced for problem, the invention provides auxiliary reference information, to facilitate in the optimization personnel course of work in addition reference.After network parameter has been revised, the present invention can be backed up the related data of revising, and facilitates the optimization personnel to carry out effect of optimization checking and basic database management after parameter modification, thereby guarantees that Optimization Work continues efficiently to carry out.
4) accurate positioning of the present invention.
The present invention, by the research to the theoretical propagation model of hata, has created a set of new propagation model formula, and by real-time importing test data, the propagation model factor has been corrected.While is carried out main Serving cell, many sectors of adjacent cell alignment by union with the measurement report (MR) with once calling out, and finally confirms the grid (GRID) that each calling occurs, and is embodied as the problem calling and accurately locates.By on-site verification, this algorithm positioning precision is in 40 meters, and locating accuracy reaches more than 98%, far away higher than at present positioning precision and the accuracy rate of other computational methods.
5) effectively reduce personnel cost, equipment cost.
The present invention, under the prerequisite that guarantees the optimization quality, at utmost saves personnel cost and equipment cost.Because the present invention carries out preliminary treatment by the signaling data collected automatically, after preliminary treatment by problem data screening and filtering in addition, network optimization personnel can login the function items that the intelligent optimization platform arranges personalized interface and pays close attention to, needed data and result will be presented in face of the user with the interface of ground physics and chemistry or tabular, have saved the complicated processes that in traditional optimizing process, data are extracted, backstage is analyzed, result is checked.Therefore wireless analysis project's teacher workload will significantly reduce.Simultaneously, because the concrete condition of network event each time can obtain by signaling data, therefore saved the work of a large amount of tester's magnanimity tests.After using the intelligent optimization platform, the work that the tester does is only to go to upgrade the location propagation model factor by test, and carries out troubleshooting for optimizing the problem points of finding, has really accomplished to shoot the arrow at the target, and has improved personnel ' s efficiency.
The accompanying drawing explanation
The structured flowchart that Fig. 1 is network optimization system of the present invention;
The structure principle chart of signaling acquisition device part in the 2G network that Fig. 2 is network optimization system of the present invention;
The structure principle chart of signaling acquisition device part in 3G network that Fig. 3 is network optimization system of the present invention;
The procedure chart that the data that Fig. 4 is network optimization system of the present invention and method are processed.
Embodiment
Below in conjunction with the drawings and specific embodiments, the present invention is described in further detail, but not as a limitation of the invention.
Network optimization system of the present invention and method can be used for 2G network or the 3G network in mobile communication network, and its principle is identical.Just in different networks, gather the title difference of the interface of signaling data.
Network optimization system of the present invention and method all need to use following data, at this, first are explained:
The signaling data storehouse:
The signaling data storehouse of 2G network comprises:
Abis message makes data, is all signaling messages that in network normal voice services/data service communication process, BTS-BSC transmits;
The A message data are all signaling messages that in network normal voice service communication process, BSC-MSC transmits;
Gb message makes data, is all signaling messages that in network normal data service communication process, BSC-SGSN transmits.
The signaling data storehouse of 3G network comprises:
Iu_b message makes data, is all signaling messages that in network normal voice services/data service communication process, Node_B-RNC transmits;
Iu_CS message makes data, is all signaling messages that in network normal voice service communication process, transmit in RNC-switched circuit territory;
Iu_PS message makes data, is all signaling messages that in network normal voice service communication process, transmit in RNC-swap data territory.
The basic data that all optimizational functions of network optimization system of the present invention and method realize.Signaling acquisition device is realized the collection work to above data.
Wireless network basic database (BSS/RNC basic database):
It in the 2G network, is the BSS basic database, it in 3G network, is the RNC basic database, the all base stations of communication network Back ground Informations (as latitude and longitude of base station, data such as antenna electrical characteristics, antenna azimuths), wireless network parameter, the set of the data such as network timer and geography information.This part data is auxiliary reference data of network optimization analysis or needs the data of adjusting.This partial data is upgraded from operation maintenance center (OMCR) in real time, and offers the supplementary that data processing module is processed as data.
Customer data base:
Mainly the users' such as VIP user, emphasis road and railway data acquisition system, for the guarantee to this user.To VIP user's MSISDN the geography information of IMSI and emphasis road carry out self-definedly, this partial data will directly offer the supplementary that data processing module is processed as data.
The DT database:
The set of DT data, it is the basic data that in location algorithm, the propagation model factor is corrected, by the testing engineering personnel, after test completes, data importing is being stored in database module of the present invention, this partial data will directly offer the supplementary that data processing module is processed as data.
The structured flowchart that Fig. 1 is network optimization system of the present invention; The structure principle chart of signaling acquisition device part in the 2G network that Fig. 2 is network optimization system of the present invention; The procedure chart that the data that Fig. 4 is network optimization system of the present invention are processed.As shown in Figure 1, Figure 2 and Figure 4, network optimization system, comprise signaling acquisition device, database server, data processing module and optimization application module, wherein
Signaling acquisition device is for gathering signaling data from mobile communication network.In the 2G network, signaling acquisition device is used for gathering respectively signaling data from Abis mouth (interface between base station (BTS)-base station controller (BSC)), A mouth (interface between base station controller (BSC)-mobile switching centre (MSC)) and the Gb Interface (interface between base station controller (BSC)-serving GPRS support node (SGSN)) of 2G network, and by the signaling data storage gathered.The structure principle chart of signaling acquisition device part in 3G network that Fig. 3 is network optimization system of the present invention.As shown in Figure 3, in 3G network, signaling acquisition device is the Iu_b interface (interface between radio network controller (RNC)-base station (NodeB)) from 3G network, the interface between Iu_CS(radio network controller (RNC)-switched circuit territory) and Iu_PS interface (interface between radio network controller (RNC)-swap data territory) gather respectively signaling, and by the signaling data storage gathered.
Signaling acquisition device mainly comprises signal collecting unit (PCD) and signal collecting server, also may need the network switch.The signal collecting unit consists of the signal collecting board, the signal collecting board completes the collection of signaling data by corresponding interface in network, and the signaling message of different bottom host-host protocols (E1/T1, STM-1, STM-4) is restrained and converged, and unify to be converted to the magnanimity disk array (RAID) that the signal collecting server was exported and be stored in to the IP message form, as transformat is that the IP message form directly gathers.Because the amount of the signaling data gathered is very huge, so need the signal collecting server to have the magnanimity disk array.And at data processing module, the signaling data in the signal collecting server is processed accordingly, and, by after result store, can be deleted the signaling data of processing in signal server, realize the circulation storage.Can also access 4 pairs of STM-1 optical interfaces or 2 pairs of STM-1 optical interfaces in the time of 64 pairs of E1/T1 Interface of signal collecting board support, its capacity is 1024 64k signalings.In the situation that the complicated network structure, signaling quantity are many, the signal collecting unit is comprised of polylith signal collecting board usually, in order to meet the collection needs of data.In the situation that polylith signal collecting board just needs the network switch in order to facilitate the signal collecting server to carry out Data Collection.The network switch is in the situation that polylith signal collecting board, for the magnanimity disk array (RAID) that facilitates the signal collecting server carries out Data Collection, the message content on many gigabit netting twines of each board output is converged and converges to a gigabit netting twine and exported.Certainly in the situation that the magnanimity disk array (RAID) of signal collecting database configuration polylith network interface card also can not used the network switch.
The electric parameter of the signal collecting board that this enforcement adopts is as following table 1.
Table 1
Database server, BSS/RNC basic data, user data and the DT data of auxiliary data are analyzed in storage as the network optimization, and provide data source for the network optimization together with the signaling data of signaling acquisition device collection.Auxiliary data is analyzed in the network optimization can increase the related data needed according to the needs of the network optimization, as VIP user data, customer complaint data and key area (as railway) data etc.
Data processing module will gather collected data, data be processed accordingly and will be analyzed, and be stored with the form of multi-layered database framework; Be the platform that application layer is built data query, called by rational multi-layered database framework, realize for required basic operations of the network optimization such as multi-interface data association, problem points alignment by union, problem data inquiries.Data source mainly comprises data message, geographical basis data message (GIS data message), VIP user data and the DT data of signaling data, BSS/RNC basic database.Wherein signaling data is network optimization system the main analysis content of the present invention; The data source of BSS/RNC basic database for optimizing the levelling reference and verifying as wireless parameter; Ground physics and chemistry information for the GIS network positions and ground physics and chemistry show, be also the reference of User Defined geography information simultaneously; The VIP user data is the data basis that VIP user ensures; The basis that the DT data are calculated for the location factor.The ground physics and chemistry information of the main storage network of GIS information database.Data processing module will carry out preanalysis to signaling data, because signaling data belongs to mass data, in the preanalysis process to signaling data, mainly useful data and information are concluded and extracted, and a large amount of hashes are given up after completing statistics, in order to realize the storage that circulates of signaling data to continuous collection; The calculated factor of the up-to-date location of network is preserved in factor storehouse, location.
The rear data that generate are processed and analyzed to database server for storing data source and data processing module.The data that wherein data processing module generates after processing and analyzing are stored in the one-level database and second databases in database server.
The data that data processing module carries out producing after preanalysis to initial data are stored in the one-level database.The one-level database mainly comprises MR measured database, problem signaling process database and signaling optimization basis staqtistical data base.
One-level database number is the basis of realizing that the network optimization is analyzed, and being also really needs the network data of storage, is also the data source that second databases realizes inquiry simultaneously.Mainly comprise MR measured database, problem signaling process database and signaling optimization basis staqtistical data base in the one-level database, wherein MR measurement data Shi Yi community is unit, measurement result after measurement report is averaged, directly reflect level, quality, the MR locating information of network; The problem signaling process is network optimization system to be set to in-problem signaling process preserved; Signaling optimization basis staqtistical data base is for optimizing the basic data of application module application.Above three databases are interrelated, the integral body that the series connection of formation problem can be inquired about;
Second databases is the data content produced for optimizing application module, and generally the form with pointer realizes the inquiry of one-level database and reviewing of historical data.The application of second databases will promote the operating efficiency of optimizing application module.
In order to be convenient to the realization of the network optimization, we have carried out arranging the formation second databases by the one-level database, that is: to statistics and the Query Information of one-level database, utilize second databases easily to realize the inquiry of one-level database and reviewing of historical data, data content in second databases is not fixed, and can to data, be increased and decreased according to user's demand.
Data processing module possesses powerful buffer memory and data-handling capacity; Factor data storehouse, location, network ground physics and chemistry system (GIS) according to the DT data, constantly updated carry out two-zone model to network, in the signaling processing procedure, calculate the locating information of signaling process, add ground physics and chemistry label in the data that the one-level database is preserved, be locating information, to realize the physics and chemistry location, ground of application.
The location factor production method and to signaling data additionally the process of physics and chemistry label can describe in detail as follows:
S1, the data that gather based on DT, by gathering a large amount of DT data, as the modeling basic data in whole city;
S2, the generation location factor (ls):
A. at first, the geographic area that system will be covered, the size according to formulating is divided into grid on generalized information system, gives each grid numbering;
B. filter out the grid that the DT data cover arrives;
C. based on the DT data, calculate above each grid each level range for each community, the probability of appearance;
D. with one group of probability statistics value, as the location factor of a grid, preservation is got up;
E. next process again the grid do not arrived by the DT data cover;
F. travel through all grids of not locating the factor;
G. calculate the quantity of each grid of not locating factor grid that the location factor is arranged on every side;
H. from the maximum grid of not locating the factor of quantity that the grid of locating the factor is arranged on every side, start to process;
I. from around have the grid of the location factor to extract the location factor, first according to mean value computation, go out one group of location factor, traversal is located factor Zhong community again, find successively the grid at these places, community, calculate the azimuthal relation of current grid and place, community grid and community, extrapolating current grid should increase or reduce for the probability of occurrence of community, and the amount changed;
J. the location factor using the result of calculating as current grid preserves;
K. repeating step f to j, until all grids have the location factor;
S3, filter out the conversation each time in signaling data, the measurement report (MR) in conversation is extracted, comprehensive statistics goes out each community, in certain level range, and the probability of appearance;
S4, travel through the location factor of all grids, calculate the involved community of itself and current talking and the matching degree of level range, according to matching degree, calculate probable value;
S5, find out 5 grids that probability is the highest, calculate the center of gravity of these 5 grids, be the position of this conversation.
Wherein step S1 to S2 is the process of the location factor that generates according to the DT data, and step S3-S5 is the process to the network positions of signaling data.Along with the collection of DT data in step S1 is upgraded, the location factor in step S2 is upgraded thereupon.
Optimizing application module is man machine operation interface, with ground physics and chemistry figure, list, the method such as self-defined, realizes the network optimization.The Optimization Work personnel, by optimizing application module except completing the optimization routine content, have also taken into account user awareness and performance optimization two aspects.Particularly by the power of location algorithm and software signalling analysis, can carry out intelligently filters to problem points, and carry out positioning problems on the GIS graphical interfaces, broken away from the large and undesirable drawback of effect of pinpointing the problems, deal with problems of routine optimization workload, therefore in the application layer design process, the main feature such as the lay special stress on optimize the content is comprehensive, signalling analysis is intelligent, computational speed is fast, locate mode is accurate, the user is easy to use.Below will concrete function piece that optimize application module be described.Having the database corresponding with following functional module in second databases calls for functional module.
◆ network index is optimized module
Mainly solve traditional optimization problem, as congested as TCH, access the problems such as success rate, cutting off rate be low at random.The network intelligence Optimization Platform (MUEIS) provide automatic retrieval to the Indexes Abnormality item, and problem points is realized to the accurate location on map, and the detailed description of problem incident signaling process is provided and optimizes reference.After the optimization personnel implement prioritization scheme, can realize reviewing of the contrast of index front and back and historical data.
In this part, except physics and chemistry location, problem ground, community covering analyzing function is also a bright spot.Urban district in the wireless environment complexity, the actual coverage in Yi Ge community is significant for basic Optimization Work, and network intelligence Optimization Platform (MUEIS) can rely on the zone of network grid (GRID) the actual covering in shared peripheral cell traffic ratio Dui Gai community to be confirmed!
◆ VIP user area assurance module
Network intelligence Optimization Platform (MUEIS) provides VIP user, VIP area definition interfaces, the optimization personnel can input Optimization Platform by relevant information, MUEIS will monitor in real time and Classifying Sum the calling each time in defined user, area in the process of signalling analysis, reservation problem evidence, facilitate the optimization personnel to carry out the reprocessing of problem points.These are that traditional optimization can't be accomplished.
◆ wireless parameter is verified module
The accuracy of wireless network basic database, reasonability are most important for the normal operation of network.Network intelligence Optimization Platform (MUEIS) is analyzed the wireless network basic database of importing switching in wireless parameter, power control, the isoparametric reasonability of network timer are checked by ground, GIS base station physics and chemistry information, the analysis of cell call signaling process, MR, and automatically generate check result and Optimizing Suggestions, guarantee the network parameter complete and accurate.
◆ the handover optimization analysis module
Switching problem is one of important process in optimizing, but because this workload is huge, and 2G/3G network deposit and cause switching problem more complicated at present, therefore shows that analysis of shift become certainty as a functional block separately in addition.This module is mainly sorted out handover event, as: Intra-cell switching, Inter-cell switching, double frequency switching, the switching of 2G/3G network, soft handover etc., and problems such as handoff failure, unidirectional switching, pingpang handoff is carried out intellectual analysis and provided Optimizing Suggestions, improve optimization efficiency.
◆ the signaling optimization module
Signaling optimization is mainly processed case study, the special topic processing that some conventional meanses can't complete, as the powerful function items such as connecting time analysis, SMS analysis, malicious call SMS interception, the abnormal release cause analysis of A mouth/Iu, the analysis of RSL release cause, traffic hot spot real-time analysis, the budget of PCH/AGCH capacity are provided.The deep-seated problem of network can be found and solve to the application of signaling optimization module, and then excavate the network potentiality, promotes service quality.
◆ frequency planning assistant analysis module
The GSM frequency resource is very limited, therefore in the actual area frequency planning, distributes frequency very difficult.On the one hand, it is huge that the frequency amount of sharing out the work is carried out in craft, inefficiency; On the other hand, the general purpose of design of existing frequency planning software is pre-planning, i.e. planning before networking, can't take into account the variation that existing network is planned regional wireless environment, therefore plans that effect is generally also undesirable; Network intelligence Optimization Platform (MUEIS) medium frequency planning assistant analysis functional block is carried out analysis-by-synthesis according to MR measurement report content and GIS geography information, cell configuration frequency-hopping mode, make frequency planning scheme on the basis that its radio characteristics, geographic properties are considered, therefore plan respond well.In addition, the quenching frequency planning module can also be calculated according to the existing network frequency use condition reasonability that arranges of frequency hopping group, MAIO, HSN.
◆ LAC, RAC optimize module
This work is also the emphasis that optimization routine is paid close attention to, but optimization means was more single in the past.The assistant analysis function that network intelligence Optimization Platform (MUEIS) provides LAC, the analysis of RAC performance bounds and LAC, RAC to divide, adjust and optimize to help the optimization personnel to carry out LAC, RAC district, base station ownership.
◆ the auxiliary module of optimizing of customer complaint
Customer complaint in the past needs a large amount of optimization personnel to carry test instrumentation in complaint Solve on site problem.Therefore because network problem exists sporadicly and not reproducible, actual effect and the effect of dealing with problems are not very desirable.Utilize network intelligence Optimization Platform (MUEIS) platform without to complaining the on-the-spot situations such as 24 hours level of problem points, quality, traffic of just can understanding, the signaling process that even can transfer the report user is analyzed, and the efficiency that therefore solves customer complaint obviously promotes.Owing to can the historical data amendment record being backed up, just can realize that each problem points is reviewed.
◆ emphasis road railway support module
The network test of emphasis road railway, it is the common method that middle movement, UNICOM examine each branch company, therefore prefectures and cities operator to emphasis road railway support work attach great importance to, drop into a large amount of optimization personnel, testing equipment and testing vehicle and gone this work in routine optimization.Can be by the self-defined road railway information of optimization personnel by network intelligence Optimization Platform (MUEIS) system, and level, quality, the call case of these road railways are monitored in real time, anomalous event, the abnormal call that relates to the road railway filters to gather and facilitates the optimization personnel to process in real time, the network parameter that relates to the road railway completed to synchronous verification simultaneously.The cost of to sum up greatly having saved the work of road railway support drops into.
Above-mentioned application module, just as exemplary illustrated, can increase according to the actual needs of the network optimization or reduce.Not as the restriction to network optimization system of the present invention.
Network optimized approach, comprise the steps:
A. data acquisition need to gather respectively signaling data as network optimization analysis foundation data from Abis mouth (interface between base station (BTS)-base station controller (BSC)), A mouth (interface between base station controller (BSC)-mobile switching centre (MSC)), Gb Interface (interface between base station controller (BSC)-serving GPRS support node (SGSN)) from 2G network (GSM) network; At 3G network (WCDMA, TD-SCDMA) need to be from the interface between Iu_b interface (interface between radio network controller (RNC)-base station (NodeB)), Iu_CS(radio network controller (RNC)-switched circuit territory in network), Iu_PS interface (interface between radio network controller (RNC)-swap data territory) gathers respectively signaling data, as network optimization analysis foundation data; Gather BSS/RNC basic data, user data, geographical basis information data (GIS data) and DT data, as the network optimization, analyze auxiliary data;
B. auxiliary data is analyzed in aggregation step A gathers network optimization analysis foundation data and the network optimization, completes the multi-layered database framework that data are processed and the later stage stores, applies; Build data query, calling platform by the multi-layered database framework, realize the required data correlation of the network optimization, problem points alignment by union and problem data inquiry basic operation;
C. call corresponding data according to the content of the network optimization from the multi-layered database framework of step B, realize the work in every of the network optimization.
Wherein in steps A: from the Abis mouth (interface between base station (BTS)-base station controller (BSC)) of 2G network, the Iu_b interface (interface between radio network controller (RNC)-base station (NodeB)) of A mouth (interface between base station controller (BSC)-mobile switching centre (MSC)) and Gb Interface (interface between base station controller (BSC)-serving GPRS support node (SGSN)) or 3G network, interface between Iu_CS(radio network controller (RNC)-switched circuit territory) and Iu_PS interface (interface between radio network controller (RNC)-swap data territory) carry out the collection of signaling data, the collection of signaling data is to be undertaken by signaling acquisition device, signaling acquisition device comprises signal collecting unit (PCD) and signal collecting server, the signal collecting unit is by original transformat (E1/T1, ATM-1, ATM-4) be converted into the IP form and be stored to the signal collecting server.The signal collecting unit is comprised of the signal collecting board, when the signal collecting board while being a plurality of, generally need the network switch that the signaling data on many netting twines of a plurality of signal collecting boards outputs is converged and converges to a network cable transmission to the magnanimity disk array of signal collecting server and stored.But but when the signal collecting server is equipped with the polylith network interface card also heterogeneous networks switch.
Wherein, data in step B are processed and are comprised according to the DT data generation location factor, with signaling data is processed and according to location factor physics and chemistry label additionally, generate the one-level database for the network optimization, the one-level database comprises the MR measured database that is mutually related, problem signaling process database and signaling optimization basis staqtistical data base; And according to network optimization content, the one-level database is distinguished to finishing analysis, and generate corresponding analysis result, form second databases.
Further, the location factor production method and to signaling data additionally the process of physics and chemistry label can describe in detail as follows:
S1, the data that gather based on DT, by gathering a large amount of DT data, as the modeling basic data in whole city;
S2, the generation location factor (ls):
A. at first, the geographic area that system will be covered, the size according to formulating is divided into grid on generalized information system, gives each grid numbering;
B. filter out the grid that the DT data cover arrives;
C. based on the DT data, calculate above each grid each level range for each community, the probability of appearance;
D. with one group of probability statistics value, as the location factor of a grid, preservation is got up;
E. next process again the grid do not arrived by the DT data cover;
F. travel through all grids of not locating the factor;
G. calculate the quantity of each grid of not locating factor grid that the location factor is arranged on every side;
H. from the maximum grid of not locating the factor of quantity that the grid of locating the factor is arranged on every side, start to process;
I. from around have the grid of the location factor to extract the location factor, first according to mean value computation, go out one group of location factor, traversal is located factor Zhong community again, find successively the grid at these places, community, calculate the azimuthal relation of current grid and place, community grid and community, extrapolating current grid should increase or reduce for the probability of occurrence of community, and the amount changed;
J. the location factor using the result of calculating as current grid preserves;
K. repeating step f to j, until all grids have the location factor;
S3, filter out the conversation each time in signaling data, the measurement report (MR) in conversation is extracted, comprehensive statistics goes out each community, in certain level range, and the probability of appearance;
S4, travel through the location factor of all grids, calculate the involved community of itself and current talking and the matching degree of level range, according to matching degree, calculate probable value;
S5, find out 5 grids that probability is the highest, calculate the center of gravity of these 5 grids, be the position of this conversation.
Wherein step S1 to S2 is the process of the location factor that generates according to the DT data, and step S3-S5 is the process to the network positions of signaling data.Along with the collection of DT data in step S1 is upgraded, the location factor in step S2 is upgraded thereupon.The technical scheme part related content of network optimization system of the present invention and method complements one another, uses for reference, therefore duplicate contents repeats no more.
Above embodiment is only exemplary embodiment of the present invention, is not used in restriction the present invention, and protection scope of the present invention is defined by the claims.Those skilled in the art can make various modifications or be equal to replacement the present invention in essence of the present invention and protection range, this modification or be equal to replacement and also should be considered as dropping in protection scope of the present invention.

Claims (8)

1. network optimization system, is characterized in that, comprises signaling acquisition device, database server, data processing module and optimization application module, wherein
Signaling acquisition device, gather signaling data as network optimization analysis foundation data from mobile communication network, and the signaling data of storage of collected;
Database server, auxiliary data is analyzed in the network optimization that comprises wireless network basic data, user data and drive to test the DT data of storage of collected; Reach the data of for the network optimization, inquiring about, adding up and transfer that storage generates after data processing module processing signaling data; The wireless network basic data is to comprise all base stations of communication network Back ground Information, wireless network parameter, the set of the data of network timer and geography information, and this part data is auxiliary reference data of network optimization analysis or needs the data of adjusting;
Data processing module, gather network optimization analysis foundation data and the network optimization and analyze auxiliary data, complete that data are processed and analyze, and will process and multi-layered database framework that analysis result is stored to database server is inquired about to realize the required data correlation of the network optimization, problem points alignment by union and problem data;
Optimizing application module, is the man-machine interface of network optimization system, for processing and the analysis result in the multi-layer data framework of calling data storehouse server;
Wherein, described multi-layered database framework comprises one-level database and second databases;
Described data processing module, generate the location factor according to the DT data, signaling data is processed and according to location factor physics and chemistry label additionally, above-mentioned signaling result is stored to the one-level database, and the one-level database comprises the measurement report MR measured database that is mutually related, problem signaling process database and signaling optimization basis staqtistical data base; , generate corresponding analysis result and be stored to second databases one-level database difference finishing analysis according to network optimization content;
The step that wherein said data processing module generates the location factor according to the DT data is as follows:
A. at first, the geographic area that system will be covered, the size according to formulating, be divided into grid, gives each grid numbering;
B. filter out the grid that the DT data cover arrives;
C. based on the DT data, calculate above each grid each level range for each community, the probability of appearance;
D. with one group of probability statistics value, as the location factor of a grid, preservation is got up;
E. next process again the grid do not arrived by the DT data cover;
F. travel through all grids of not locating the factor;
G. calculate the quantity of each grid of not locating factor grid that the location factor is arranged on every side;
H. from the maximum grid of not locating the factor of quantity that the grid of locating the factor is arranged on every side, start to process;
I. from around have the grid of the location factor to extract the location factor, first according to mean value computation, go out one group of location factor, traversal is located factor Zhong community again, find successively the grid at these places, community, calculate the azimuthal relation of current grid and place, community grid and community, extrapolating current grid should increase or reduce for the probability of occurrence of community, and the amount changed;
J. the location factor using the result of calculating as current grid preserves;
K. repeating step f to j, until all grids have the location factor.
2. network optimization system according to claim 1, is characterized in that, described signaling acquisition device comprises signal collecting unit and signal collecting server; Mobile communication network comprises 2G internet and 3G network, the signal collecting unit carries out the collection of signaling data or carries out the collection of signaling data from Iu_b interface, Iu_CS interface and the Iu_PS interface of 3G network from A interface, Abis interface and the Gb Interface of 2G network, and the signaling data of collection is converted into after the IP form to the magnanimity disk array that is stored to the signal collecting server.
3. network optimization system according to claim 2, it is characterized in that, described signal collecting unit is comprised of the signal collecting board, when the signal collecting board while being a plurality of, by the network switch, the signaling data of a plurality of signal collecting boards outputs is converged to the magnanimity disk array that convergence transfers to the signal collecting server and stored.
4. network optimization system according to claim 1, is characterized in that, additionally the step of physics and chemistry label is as follows to data signaling for described data processing module:
S2, filter out the conversation each time in signaling data, the measurement report MR in conversation is extracted, comprehensive statistics goes out each community, in certain level range, and the probability of appearance;
S3, travel through the location factor of all grids, calculate the involved community of itself and current talking and the matching degree of level range, according to matching degree, calculate probable value;
S4, find out 5 grids that probability is the highest, calculate the center of gravity of these 5 grids, be the position of this conversation.
5. network optimized approach, is characterized in that, comprises the steps:
A. data acquisition, gather signaling data storage from mobile communication network, as network optimization analysis foundation data; Gather wireless network basic data, user data, geographical basis information data and drive to test the DT data, as the network optimization, analyzing auxiliary data; The wireless network basic data is to comprise all base stations of communication network Back ground Information, wireless network parameter, the set of the data of network timer and geography information, and this part data is auxiliary reference data of network optimization analysis or needs the data of adjusting;
B. auxiliary data is analyzed in aggregation step A gathers network optimization analysis foundation data and the network optimization, completes data and processes and analyze, and will process and analysis result is stored to the multi-layered database framework; Realize the required data correlation of the network optimization, problem points alignment by union and problem data inquiry by the multi-layered database framework;
C. call corresponding data according to the content of the network optimization from the multi-layered database framework of step B;
Wherein, data in step B are processed and are comprised according to the DT data generation location factor and signaling data is processed, and the physics and chemistry label additionally of the signaling data after processing according to the location factor pair, thereby be configured for the one-level database on the basis of network optimization analysis, the one-level database comprises the measurement report MR measured database that is mutually related, problem signaling process database and signaling optimization basis staqtistical data base; And according to network optimization content, the one-level database is distinguished to finishing analysis, and generate corresponding analysis result, form second databases;
Wherein according to the DT data, generate the step of locating the factor as follows:
A. at first, the geographic area that system will be covered, the size according to formulating, be divided into grid, gives each grid numbering;
B. filter out the grid that the DT data cover arrives;
C. based on the DT data, calculate above each grid each level range for each community, the probability of appearance;
D. with one group of probability statistics value, as the location factor of a grid, preservation is got up;
E. next process again the grid do not arrived by the DT data cover;
F. travel through all grids of not locating the factor;
G. calculate the quantity of each grid of not locating factor grid that the location factor is arranged on every side;
H. from the maximum grid of not locating the factor of quantity that the grid of locating the factor is arranged on every side, start to process;
I. from around have the grid of the location factor to extract the location factor, first according to mean value computation, go out one group of location factor, traversal is located factor Zhong community again, find successively the grid at these places, community, calculate the azimuthal relation of current grid and place, community grid and community, extrapolating current grid should increase or reduce for the probability of occurrence of community, and the amount changed;
J. the location factor using the result of calculating as current grid preserves;
K. repeating step f to j, until all grids have the location factor.
6. network optimized approach according to claim 5, it is characterized in that, mobile communication network comprises 2G internet and 3G network, carry out the collection of signaling data or carry out the collection of signaling data from Iu_b interface, Iu_CS interface and the Iu_PS interface of 3G network from A interface, Abis interface and the Gb Interface of 2G network by the signal collecting unit, and being stored after the signaling data of collection is converted into to the IP form.
7. network optimized approach according to claim 6, it is characterized in that, described signal collecting unit is comprised of the signal collecting board, when the signal collecting board, while being a plurality of, the magnanimity disk array that a plurality of signal collecting board outgoing signaling convergences convergences is transferred to the signal collecting server by the network switch is stored.
8. network optimized approach according to claim 5, is characterized in that, to data signaling, additionally the step of physics and chemistry label is as follows:
S2, filter out the conversation each time in signaling data, the measurement report MR in conversation is extracted, comprehensive statistics goes out each community, in certain level range, and the probability of appearance;
S3, travel through the location factor of all grids, calculate the involved community of itself and current talking and the matching degree of level range, according to matching degree, calculate probable value;
S4, find out 5 grids that probability is the highest, calculate the center of gravity of these 5 grids, be the position of this conversation.
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Families Citing this family (24)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102264097B (en) * 2011-08-26 2013-11-06 北京铭润创展科技有限公司 Method for positioning GSM (global system for mobile communication) mobile communication network terminal
CN102404756B (en) * 2011-11-15 2014-03-19 上海百林通信网络科技有限公司 Antenna parameter optimizing system based on mobile phone measurement report
CN103179594A (en) * 2011-12-21 2013-06-26 北京亿阳信通科技有限公司 Method and device for optimizing wireless network on basis of road test data
CN102790982B (en) * 2012-07-19 2015-07-08 华为技术服务有限公司 Method for distinguishing data service hotspots and potential data service hotspots and communication equipment
CN103581953B (en) * 2012-07-19 2016-06-22 珠海世纪鼎利通信科技股份有限公司 A kind of method of wireless drive test data and monitoring signaling data association
CN102932816A (en) * 2012-09-28 2013-02-13 北京中创信测科技股份有限公司 Method and device for wireless optimization of disparate-system interoperation
CN103916868B (en) * 2012-12-31 2017-10-27 中国移动通信集团浙江有限公司 Position area optimization method and system
CN103118382B (en) * 2013-01-21 2015-08-26 北京拓明科技有限公司 A kind of analytical method of data traffic neighborhood ping-pong reselection
CN103200580B (en) * 2013-02-07 2016-08-03 上海理工大学 A kind of mobile communication network base station augments automatic decision system
CN104144069B (en) * 2013-05-10 2018-02-06 中国电信股份有限公司 The method and apparatus that wireless side Call Data Record associates with customer service behavior
CN104284364A (en) * 2013-07-12 2015-01-14 珠海世纪鼎利通信科技股份有限公司 Method for analyzing cell switching sequence based on drive test data
CN104811981A (en) * 2014-01-24 2015-07-29 中国移动通信集团广东有限公司 Method and device for evaluating abnormal call
CN103825769A (en) * 2014-03-17 2014-05-28 华为技术有限公司 Network operation and maintenance management method and device
CN103902712A (en) * 2014-04-03 2014-07-02 河北普阳钢铁有限公司 Industrial real-time data collecting system
CN104219700A (en) * 2014-09-17 2014-12-17 四川中恒电讯信息技术有限公司 Data optimization system based on 4G mobile communication network
CN104410978A (en) * 2014-11-14 2015-03-11 中国联合网络通信集团有限公司 Method and device of evaluating site planning
CN104980959B (en) * 2015-07-13 2018-06-19 东莞理工学院 Network switching optimization method and system based on the cognition of mobile terminal Move Mode
CN106792783B (en) * 2015-11-20 2020-04-14 大唐移动通信设备有限公司 Network self-optimization method and device
CN105554793B (en) * 2015-12-11 2018-11-09 中国联合网络通信集团有限公司 Assess the method and device of wireless network operation stability
CN107466043B (en) * 2016-06-03 2020-11-27 中国移动通信集团河北有限公司 Method and equipment for determining azimuth angle of base station antenna
CN108076475A (en) * 2016-11-17 2018-05-25 中国移动通信有限公司研究院 A kind of data processing method and server
CN106792822A (en) * 2016-12-28 2017-05-31 贺州学院 A kind of optimization method of communication network
CN108449213A (en) * 2018-03-26 2018-08-24 安徽德特信息技术有限公司 Network quality analysis and assessment system based on signaling data analysis
CN108632864A (en) * 2018-05-14 2018-10-09 西安云次幂信息科技有限公司 A kind of network optimization system for collecting signaling based on terminal baseband chip

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1798069A (en) * 2004-12-30 2006-07-05 中兴通讯股份有限公司 Centeralization type system of collecting communication data based on exchange platform
CN101360312A (en) * 2007-08-02 2009-02-04 北京中创信测科技股份有限公司 Optimizing method and apparatus of mobile communication network
CN101547506A (en) * 2009-02-17 2009-09-30 华中科技大学 GSM network consumer positioning method based on signal receiving strength information fingerprint
CN101692734A (en) * 2009-09-29 2010-04-07 深圳市优网科技有限公司 Method and device for predicting cell interference
CN101835182A (en) * 2010-02-04 2010-09-15 西安方诚通讯技术服务有限公司 Analyzing system and analyzing method for wireless network optimizing computer
CN101877857A (en) * 2009-04-28 2010-11-03 五邑大学 Intelligent decision support system for mobile communication network optimization

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
ES2425555T3 (en) * 2002-04-30 2013-10-16 Telmap Ltd. Navigation system that uses corridor maps

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1798069A (en) * 2004-12-30 2006-07-05 中兴通讯股份有限公司 Centeralization type system of collecting communication data based on exchange platform
CN101360312A (en) * 2007-08-02 2009-02-04 北京中创信测科技股份有限公司 Optimizing method and apparatus of mobile communication network
CN101547506A (en) * 2009-02-17 2009-09-30 华中科技大学 GSM network consumer positioning method based on signal receiving strength information fingerprint
CN101877857A (en) * 2009-04-28 2010-11-03 五邑大学 Intelligent decision support system for mobile communication network optimization
CN101692734A (en) * 2009-09-29 2010-04-07 深圳市优网科技有限公司 Method and device for predicting cell interference
CN101835182A (en) * 2010-02-04 2010-09-15 西安方诚通讯技术服务有限公司 Analyzing system and analyzing method for wireless network optimizing computer

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