CN101835182A - Analyzing system and analyzing method for wireless network optimizing computer - Google Patents
Analyzing system and analyzing method for wireless network optimizing computer Download PDFInfo
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Abstract
The invention relates to an analyzing system and an analyzing method for a wireless network optimizing computer. The system consists of a data source, a data importing module, a wireless network performance intelligent analysis module, wireless network coverage state analysis module, geographic information module, a wireless network cell grade accurate analysis GIS (geographic information system) platform and a solution and needed original data exporting module. The method comprises the following steps of: acquiring data source; importing data and transmitting the imported data to the wireless network performance intelligent analysis module and the wireless network coverage state analysis module for analysis processing by using the data importing module; transmitting an analysis result and geographic information to the wireless network cell grade accurate analysis GIS module to obtain a solution; and outputting a network optimizing scheme by using the solution and the needed original data exporting module. Due to the adoption of the system and the method, the performance of an overall network can be rapidly and efficiently improved, problems can be analyzed and solved accurately, the technical threshold of network optimization is lowered and a network optimizing activity can meet and realize the requirement on industrialization.
Description
Technical field
The invention belongs to wireless network test, optimization field, be specifically related to a kind of wireless network optimizing computer analytical system and analytical method.
Background technology
Existing radio network optimization analysis mainly is that hauling type drive test (Drive Test) and test calls (CQT) and record test data are carried out in the area of wireless network coverage territory, road test data is analyzed with software then, general main of existing software has data management function, do not have problem analysis of causes function, analyzing main dependence manually carries out, the network optimization personnel cls analysis result that rule of thumb satisfies the need carries out problem in conjunction with backstage statistics and judges, the location proposes possible reason and solution is tried to adjust to network then, check analysis and scheme carry out determining or solution until problem repeatedly.
This radio network optimization analytical method based on drive test exists following problem and limitation in practice:
1, the Data Source of Fen Xiing is that drive test gets, and traditional test is road test substantially, accurately says it is the wireless network test of the path locus of surveying, and is not the wireless network test in the zone of surveying; The problem of having only drive test to run into just can be found, and drive test is subjected to the limitation of road, and the network condition of road can only be provided, and road only accounts for overall network part seldom, and what communication service was main is not to occur on the road, but office outside road and living area; Simultaneously wireless network builds that very dense is huge, and road covers very good as emphasis, can not find main and a large amount of problems of wireless network by drive test.
2, the problem found of drive test just individually, incident independently, interdependence is not strong, and be that mutual tight association and influence restrict between the performance index of wireless network, the reason of influence index is not unique but a plurality of, and be to be mutually related between reason, therefore with indivedual and independent event be object solution network problem be difficult to, very loaded down with trivial details, very complicated, or even impossible.
3, the hauling type drive test need expend huge human and material resources, time, has little effect.
4, the judgement of the analysis of data and problem, to solve main be to be undertaken by the network optimization personnel, therefore personnel's level, ability have determined the level and the ability of network optimization, individual difference is very big, it is very big that problem solves degree difference, the efficient that network optimization is analyzed is very low, often has a lot of problems to can not get for a long time solving; Simultaneously the network optimization analyst of high level seldom, and wireless network is very huge, network optimization workload is very heavy, contradiction is very big between network optimization technical need and technical capability, network optimization technical staff demand and the high-level network optimization analyst.
5, can only solve problem and the incident that has taken place, can not predict network performance future development, variation tendency, more can not optimize in advance network according to development trend from the whole network angle.
Existing wireless network is very huge, and the wireless network of a new generation also constantly releasing and building, and the service requirement of network constantly solves the problem that exists and take place, and miscellaneous wireless new business is constantly released and made the Network variation; The lifting of user experience and impression, the personalization of demand increase the specification requirement that makes to the network optimization and become increasingly complex, and level requires more and more higher, and the validity and the efficient that solve network problem require also more and more higher.
Market in urgent need is a kind of can be from the angle of the whole network, both to the ubiquitous problem of the wireless network overall situation solving rapidly and efficiently, promotes the performance of network integral body; Can carry out explication de texte and solution to focus, difficult point problem again, also wanting can be according to the variation of user's request, network optimization system and method that the requirement of the network operation is regularly carried out whole optimization, optimized and plan in advance network.Require to reduce the technical threshold of network optimization simultaneously, reduce demand, make the network optimization activity can satisfy and realize the requirement of industrialization high-end network optimization analyst.
Summary of the invention
Technical problem to be solved by this invention is at the deficiencies in the prior art, provide a kind of common problem that can solve the wireless network existence fast and effectively can carry out explication de texte and solution to focus and difficult point problem again from the angle of the overall situation, can also optimize in advance and planning again network, reduction realizes that to network optimization analyst's requirement the industrialization of network optimization activity guarantees wireless network optimizing computer analytical system and the analytical method that the network optimization quality standard is unified simultaneously.
For achieving the above object, the technical solution used in the present invention is: a kind of wireless network optimizing computer analytical system is characterized in that this system covers planar analysis module, geography information module, wireless network cell level explication de texte GIS platform and solution by data source, data importing module, wireless network performance intelligent analysis module, wireless network and required initial data derivation module is formed;
Described data source comprises complaint, the maintenance record data that OMC data, drive test data and the operator of wireless network provide, auxiliary cover data;
The data that described data importing module realizes receiving described data source are also carried out the wireless network standard and are set and fields match, the data after the coupling are sent into described wireless network performance intelligent analysis module and wireless network cover planar analysis module and analyze; Geographic information data after described data importing module will be mated is sent into described wireless network coverage rate dress analysis module and geography information module;
Described wireless network performance intelligent analysis module is carried out performance evaluation according to the data that described data importing module transmits;
Described wireless network covers planar analysis module to carry out wireless coverage figure and obtains the planar analysis with wireless coverage GIS;
Described wireless network cell level explication de texte GIS platform covers planar analysis module according to described wireless network performance intelligent analysis module, described wireless network and failure cause and solution are determined in the analysis of geography information module data;
The prioritization scheme that described solution and required initial data derivation module are responsible for described wireless network cell level explication de texte GIS platform is drawn is exported.
A kind of wireless network optimizing computer analytical system of utilizing is carried out the method that the network optimization is analyzed, and it is characterized in that this method may further comprise the steps:
(1) data acquisition: the performance statistics, cell measurement, cell configuration data, complaint data, logout, auxiliary overlay network resource and the indoor distributed data that extract the wireless network backstage; Optimize the two and three dimensions GIS data in zone, above-mentioned data are as data source;
(2) data that obtain in the step (1) are sent into described data importing module, described data importing module requires to carry out standard setting and fields match according to the standard of optimization network and the field of system;
Described data importing module with the data that import send to described wireless network performance intelligent analysis module, wireless network covers planar analysis module and GIS-Geographic Information System is carried out analyzing and processing;
(3) described wireless network cell level explication de texte GIS module obtains wireless network cell under the GIS environment of simulating reality, by to wireless network performance intellectual analysis result, the planar analysis result of wireless coverage, network resource information, network geographic information (GIS), auxiliary intelligent comprehensive analysis accurate fixer network problem reason and the solution that covers resource information etc.;
(4) solution and required initial data derive the network optimization scheme output that module obtains wireless network cell level explication de texte GIS module.
The analyzing and processing of described wireless network performance intelligent analysis module comprises:
(a) according to optimizing mission requirements network performance index is carried out RNC (BSC) level, cell-level optimization threshold setting and screening, filter out incongruent RNC (BSC), sub-district and sub-district index;
(b) determine RNC (the BSC) Xiao Qu index of this suboptimization according to the network optimization index request of term of reference;
(c) index of definite this suboptimization sub-district is analyzed; Finally be presented as sub-district index problem according to wireless network principles: problem RNC (BSC), sub-district;
(d) search the reason of sub-district problem index, wireless network index problem reason is summed up as: equipment fault reason, wireless coverage reason, cause of failures, traffic reason, parameter are provided with reason; Draw sub-district index-time, index-telephone traffic, telephone traffic-time trend figure;
The analyzing and processing of the planar analysis module of described wireless coverage comprises:
(a) system to the network configuration data that imports, resource data carries out the wireless network emulation of coverage capability according to the radio propagation model and sampling correcting obtains the wireless network coverage diagram;
(b) the wireless network coverage diagram that obtains is superimposed upon GIS-Geographic Information System (GIS) and carries out the planar analysis of wireless network covering GIS; The analysis content comprises: cover cavity, weak covering, covering overlapping, neighbor cell configuration relation, radio frequency impairments, equalizing traffic volume analysis, wireless coverage man-machine interaction adjustment draw the covering of sub-district and adjust simulation drawing and simulate the adjustment scheme.
Can reach following effect by technique scheme:
1, this method utilization computer rapidly and efficiently, the problem that exists of batch quantity analysis wireless network, provide the scheme of dealing with problems; With with the drive test be in the past foundation change into backstage statistics, measurement data at method indivedual, independent event phase-split network problem to be foundation, both to optimize comprehensively that focus, difficult point problem, incident cell-level explication de texte are arranged again from the angle of the whole network; The analysis that the whole network statistical analysis and difficult point explication de texte combine can be predicted and pre-optimization network performance future development variation tendency, has improved comprehensive, the validity of the network optimization and property in advance
2, native system and method will change computer process analysis according to the rules into artificial discrete analysis in the past, and the unification that has guaranteed quality has been eliminated the otherness of manual analysis with efficient, has reduced the requirement to senior network optimization personnel; Owing to adopted Computer Simulation, introduced GIS, realized that wireless area covers and the computer simulation of environment, network, resource and the environment of reality are transplanted to computer present and can analyze arbitrarily, call; Make sightless wireless network cover, as seen the wireless environment that can not control analysis becomes, can control, can simulate adjustment, analyzable object.Change the wireless network covering analyzing into planar analysis by the point type sample analysis, change computer GIS into by the complicate statistics analysis and analyze, its validity, comprehensive and analysis efficiency improve greatly;
3, native system has been realized the general and compatible of network optimization analysis different systems and devices from different manufacturers; Front end data acquisition and backstage are analyzed and are separated, and the backstage is analyzed and realized the program intellectual analysis and covered planar analysis; The technology barriers between the standard have been got through, satisfy 2G the 3G requirement of merging the different systems radio network optimization analysis-by-synthesis of networking requirement, both take into account the technical characteristic of diverse network standard mechanism, demonstrated fully the versatility and the continuity of networks with different systems method for optimization analysis, technology again; The network optimization analysis of different systems, devices from different manufacturers is carried out on a unified platform, makes the generalization of network optimization analytical method, routine analyzerization, techniqueflowization; Greatly reduce the specification requirement and the threshold of the network optimization, make the network optimization can popularize and batch jobs, make the network optimization possess the industrialization technology condition;
4, native system and method are the revolutionary character improvement of radio network optimization method, have improved the efficient of radio network optimization, have reduced the cost of radio network optimization, have improved quality and level that wireless network is optimized, have great actual application value.
Description of drawings
Fig. 1 is wireless network optimizing computer analytical system modular structure figure of the present invention.
Fig. 2 realizes module map for radio network optimization method of the present invention.
Description of reference numerals:
The 1-data source;
The 2-data importing;
3-wireless network performance intellectual analysis;
The 4-wireless network covers planar analysis;
5-wireless network cell level explication de texte GIS platform;
6-solution and required initial data derive;
The 7-geography information;
The 8-OMC data;
The 9-drive test data;
The complaint that 10-operator provides, maintenance record, auxiliary cover data, geographic information data;
11-different systems distinct device data and native system desired data mate;
The 12-measurement data;
The 13-statistics;
The 14-resource data;
The 15-configuration data;
16-complains data;
17-drive test/seek limit data;
18-wireless coverage area geographic information data;
The screening of 19-KPI metrics-thresholds;
20-Analysis and Screening result determines to optimize object (sub-district, index);
21-is with adjacent frequency analysis;
The 22-interference analysis;
23-switches analysis;
The 24-call-data analysis;
The 25-congestion analysis;
The 26-cutting off rate is analyzed;
The 27-call completing rate is analyzed;
28-inserts the success rate analysis;
29-wireless channel utilance is analyzed;
30-packet domain index analysis
31-intellectual search failure cause;
The 32-analysis draws failure cause and gathers;
The fault cells that 33-equipment reason causes;
34-covers the fault cells that reason causes;
The fault cells that 35-traffic reason causes;
The fault cells that the 36-cause of failures causes;
The fault cells that 37-parameter reason causes;
38-cell telephone traffic amount time trend figure;
39-sub-district KPI index time trend figure;
40-sub-district KPI index telephone traffic tendency chart;
41-generates all kinds of wireless network coverage diagrams of optimizing the zone;
The weak covering analyzing of 42-;
The 43-neighbor cell configuration is analyzed;
44-covers to overlap and analyzes;
45-covers the cavity and analyzes;
46-covers mutual the adjustment;
The 47-radio frequency impairments is analyzed;
The 48-equalizing traffic volume is analyzed;
The accident analysis that 49-is relevant with landforms;
The accident analysis of 50-and time correlation;
The accident analysis that 51-is relevant with the geographical position;
The accident analysis that 52-is relevant with traffic;
The accident analysis that 53-is relevant with user characteristics;
The 54-intelligent comprehensive is analyzed;
Embodiment
A kind of wireless network optimizing computer analytical system as shown in Figure 1, this system is by data source 1, data importing 2, wireless network performance intellectual analysis 3, wireless network covers planar analysis 4, geography information 7, wireless network cell and explication de texte GIS platform 5 and solution and required initial data derive 6, and totally 7 functional modules are formed.
A kind of wireless network optimizing computer analytical method as shown in Figure 2 may further comprise the steps:
1, data source 1 data are obtained: extract a week or stipulated time section, time granularity is wireless network backstage RNC (BSC) level, the cell-level OMCR data 8 of day or designated size, comprises performance statistic, measurement data, configuration data, resource data; The drive test data 9 of wireless network, the complaint that operator provides, maintenance record, auxiliary cover data, geographic information data 10; Drive test seek limit data 17 and comprise DT and CQT data etc.
2, data importing 2: the data that will obtain from data source 1 import by data importing 2, select to set according to the wireless network standard of optimizing object, carry out fields match 11 according to different systems and devices from different manufacturers data and native system defined data; Obtain measurement data 12, statistics 13, resource data 14, configuration data 15, complain data 16, drive test/seek limit data 17 and wireless coverage area geographic information data 18;
3, wireless network performance intelligent analysis module 3 requires data are carried out RNC (BSC) level and cell-level network KPI threshold setting and screening according to optimizing, KPI metrics-thresholds screening 19, the Analysis and Screening result determines to optimize object (sub-district, index) 20, sub-district problem index is carried out the sub-item analysis, comprise with adjacent frequency analysis 21, interference analysis 22, switching analysis 23, call-data analysis 24, congestion analysis 25, cutting off rate analysis 26, call completing rate analysis 27, the analysis 28 of access success rate and wireless channel utilance analysis 29, packet domain index analysis 30; Intellectual search failure cause 31, analysis draws failure cause and gathers 32, the fault cells 37 that the fault cells 35 that the network failure reason classifies as fault cells 33 that the equipment reason causes, cover fault cells 34 that reason causes, the traffic reason causes, the fault cells 36 that cause of failures causes and parameter reason cause; And draw cell telephone traffic amount time trend Figure 38, sub-district KPI index time trend Figure 39 and sub-district KPI index telephone traffic trend Figure 40 simultaneously;
Wireless network covers 4 pairs of data of planar analysis module and carries out Computer Simulation, sampling correcting according to the radio propagation model, its result is superimposed upon GIS-Geographic Information System (GIS) and go up to generate optimizes all kinds of wireless networks in zone and cover Figure 41, to the coverage diagram that generates utilize GIS carry out weak covering analyzing 42, neighbor cell configuration analyze 43, cover overlap analyze 44, cover that the cavity analyzes 45, radio frequency impairments analyzes 47, equalizing traffic volume analyzes 48; Utilize to cover mutual adjustment 46,, the coverage diagram that generates is carried out man-machine interaction adjustment and the planar analysis of GIS by adjusting engineering parameter or changing coverage.
4, cover planar analysis 4 and the data that geography information 7 obtains according to wireless network performance intellectual analysis 3, wireless network and deliver to wireless network cell level explication de texte GIS platform 5 and carry out the accident analysis relevant 49, analyze 54 analysis-by-synthesis, finally determine failure cause and solution with the accident analysis 50 of time correlation, relevant accident analysis 51, relevant accident analysis 52, accident analysis 53 and the intelligent comprehensive relevant with user characteristics with traffic with the geographical position with landforms;
5, solution and required initial data derive solution, the problem reason of 6 output wireless network cell level explication de texte GIS platforms 5 and initial data and the conclusion that need export.
This method utilization computer rapidly and efficiently, the problem that exists of batch quantity analysis wireless network, provide the scheme of dealing with problems; With with the drive test be in the past foundation to change into backstage statistics, measurement data at method indivedual, independent event phase-split network problem be main foundation, both optimized comprehensively, focus, difficult point problem, incident cell-level explication de texte were arranged again from the angle of the whole network; The analysis that the whole network statistical analysis and difficult point explication de texte combine, existing issue analysis solve and at network future development trend optimize in advance, the optimization that combines of planning again, improved comprehensive, the validity of the network optimization and property in advance; Native system and method will change computer process analysis according to the rules into artificial discrete analysis in the past, and the unification that has guaranteed quality has been eliminated the otherness of manual analysis with efficient, has reduced the requirement to senior network optimization personnel; Owing to adopted Computer Simulation, introduced GIS, realized that wireless area covers and the computer simulation of environment, network, resource and the environment of reality are transplanted to computer present and can analyze arbitrarily, call; Make sightless wireless network cover, as seen the wireless environment of can not control, analyzing becomes, can control, can simulate adjustment, analyzable object.Change the wireless network covering analyzing into planar analysis by the point type sample analysis, change computer GIS into by the complicate statistics analysis and analyze, its validity, comprehensive and analysis efficiency improve greatly; Native system has been realized the general and compatible of network optimization analysis different systems and devices from different manufacturers; Front end data acquisition and backstage are analyzed and are separated, and the backstage is analyzed and realized the program intellectual analysis and covered planar analysis; The technology barriers between the standard have been got through, satisfy 2G the 3G requirement of merging the different systems radio network optimization analysis-by-synthesis of networking requirement, both take into account the technical characteristic of diverse network standard mechanism, demonstrated fully the versatility and the continuity of networks with different systems method for optimization analysis, technology again; The network optimization analysis of different systems, devices from different manufacturers is carried out on a unified platform, makes the generalization of network optimization analytical method, routine analyzerization, techniqueflowization; Greatly reduce the specification requirement and the threshold of the network optimization, make the network optimization can popularize and batch jobs, make the network optimization possess the industrialization technology condition, have great actual application value.
Claims (4)
1. a wireless network optimizing computer analytical system is characterized in that this system covers planar analysis module, geography information module, wireless network cell level explication de texte GIS platform and solution by data source, data importing module, wireless network performance intelligent analysis module, wireless network and required initial data derivation module is formed;
Described data source comprises complaint, the maintenance record data that OMC data, drive test data and the operator of wireless network provide, auxiliary cover data;
The data that described data importing module realizes receiving described data source are also carried out the wireless network standard and are set and fields match, the data after the coupling are sent into described wireless network performance intelligent analysis module and wireless network cover planar analysis module and analyze; Geographic information data after described data importing module will be mated is sent into described geography information module;
Described wireless network performance intelligent analysis module is carried out the wireless network performance intellectual analysis according to the data that described data importing module transmits;
Described wireless network covers planar analysis module to carry out wireless coverage figure and obtains the planar analysis with wireless coverage GIS;
Described wireless network cell level explication de texte GIS platform covers planar analysis module according to described wireless network performance intelligent analysis module, described wireless network and failure cause and solution are determined in the analysis of geography information module data;
The prioritization scheme that described solution and required initial data derivation module are responsible for described wireless network cell level explication de texte GIS platform is drawn is exported.
2. one kind is utilized the wireless network optimizing computer analytical system in the claim 1 to carry out the method that the network optimization is analyzed, and it is characterized in that this method may further comprise the steps:
(1) data acquisition: the performance statistics, cell measurement, cell configuration data, complaint data, logout, auxiliary overlay network resource and the indoor distributed data that extract the wireless network backstage; Optimize the two and three dimensions GIS data in zone, above-mentioned data are as data source;
(2) data source that obtains in the step (1) is sent into described data importing module, described data importing module requires to carry out standard setting and fields match according to the standard and the field of optimization network;
Described data importing module sends to the data that import that described wireless network performance intelligent analysis module, wireless network cover planar analysis module, the geography information module is carried out analyzing and processing;
(3) described wireless network cell level explication de texte GIS module obtains wireless network cell under the GIS environment of simulating reality, by radio network problems reason and solution are precisely located in wireless network performance intellectual analysis result, the planar analysis result of wireless coverage, wireless network resource information, wireless network geography information (GIS), the auxiliary intelligent comprehensive analysis that covers resource information, calling information, maintenance record and logout etc.;
(4) solution and required initial data derive the network optimization scheme output that module obtains wireless network cell level explication de texte GIS module.
3. the method that the network optimization according to claim 2 is analyzed is characterized in that the analyzing and processing of described wireless network performance intelligent analysis module comprises:
(a) according to optimizing mission requirements network performance index is carried out RNC (BSC) level, cell-level optimization threshold setting and screening, filter out incongruent RNC (BSC), sub-district and sub-district index;
(b) determine RNC (the BSC) Xiao Qu index of this suboptimization according to the network optimization index request of term of reference;
(c) index of definite this suboptimization sub-district is analyzed; According to wireless network principles, sub-district index problem finally is presented as in problem RNC (BSC), sub-district;
(d) search the reason of sub-district problem index, wireless network index problem reason is summed up as: equipment fault reason, wireless coverage reason, cause of failures, traffic reason, parameter are provided with reason; Draw sub-district index-time, index-telephone traffic, telephone traffic-time trend figure;
4. according to the method for claim 2 or 3 described network optimizations analyses, it is characterized in that the analyzing and processing of the planar analysis module of described wireless coverage comprises:
(a) system to the network configuration data that imports, resource data carries out the wireless network emulation of coverage capability according to the radio propagation model and sampling correcting obtains the wireless network coverage diagram;
(b) the wireless network coverage diagram that obtains is superimposed upon carries out wireless network on the GIS-Geographic Information System (GIS) and cover the planar analysis of GIS; The analysis content comprises: cover cavity, weak covering, covering overlapping, neighbor cell configuration relation, radio frequency impairments, equalizing traffic volume analysis, wireless coverage man-machine interaction adjustment draw the covering of sub-district and adjust simulation drawing and simulation adjustment scheme.
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