CN103179594A - Method and device for optimizing wireless network on basis of road test data - Google Patents
Method and device for optimizing wireless network on basis of road test data Download PDFInfo
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- CN103179594A CN103179594A CN2011104320448A CN201110432044A CN103179594A CN 103179594 A CN103179594 A CN 103179594A CN 2011104320448 A CN2011104320448 A CN 2011104320448A CN 201110432044 A CN201110432044 A CN 201110432044A CN 103179594 A CN103179594 A CN 103179594A
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Abstract
The invention provides a method and device for optimizing a wireless network on the basis of road test data. The method includes: acquiring the road test data capable of reflecting performance index of the wireless network; generating abnormal event data of different types according to an abnormal event matching algorithm; judging reasons of abnormal events according to the abnormal event data and abnormal event types, and determining related network elements; and optimizing relates network element devices according to the reasons leading to the abnormal events. The method and device for optimizing the wireless network on the basis of road test data can configure event parameter information, executes pre-analysis on various abnormal events, efficiently obtains reasons of a problem reflecting event current situations, omits tedious workload of a user, and can solve the problem in the prior art that data processing efficiency is low, massive road test data cannot be processed in time due to the fact that problems need to be found manually in a signaling replaying process and the wireless network cannot be optimized in targeted mode due to the fact that positioning is inaccurate.
Description
Technical field
The present invention relates to the mobile communication technology field, particularly relate to a kind of method for optimizing wireless network based on drive test data and device.
Background technology
Radio network optimization is important link in mobile communications network construction and operation, its objective is the integrated configuration optimization that reaches the whole network and the service quality optimization of individual areas network condition.The basic procedure of radio network optimization roughly comprises several steps such as optimizing preparation, data acquisition, data analysis, enforcement optimization, optimization assessment.Generally by the reflection of the indexs such as wireless coverage, call completing rate, cutting off rate, speech quality, power system capacity, these index parameter values are measured and collected is the basis of radio network optimization to wireless network performance.The measurement of these indexs and collection are generally by drive test process (DT, drive test) obtain, the test process that finger utilizes vehicle and auto testing instrument table to carry out in the middle of advancing on highway, specifically, be that downstream signal to wireless network is that Um Interface is tested, and gather the process of drive test data.The drive test data that gathers can reflect the performance index of network, can comprise the relevant parameter of Serving cell data, the relevant parameter of adjacent area data, the relevant parameter of network system information, the data such as relevant parameter of GPS locating information.When wireless network was in normal condition, these parameters had normal number range, and when surmounting the normal range (NR) of these parameters, just might there be potential problem in wireless network.Therefore, can find and solve communication issue by these data of post analysis.
In the prior wireless network prioritization scheme, the driver test system by each road measuring device manufacturer obtains drive test data, then these data is carried out the conventional playback of signaling, and network optimization personnel rule of thumb carry out linkage analysis again, thereby find out network problem.So just there is the problem of following several aspects: the one, along with the universal use of magnanimity testing equipment, the drive test data amount increases extremely rapid, the automatic drive test system that uses with certain communication common carrier Beijing Company is as example, dispose altogether 30 automatic test terminals, carry out every every day the test more than 6 hours, common property was given birth to and was surpassed 180 hours, the test data of capacity take G as unit every day, and the test file number is over 1000; In this case, the existing discovery by signaling playback mode by means of the network optimization experience by network optimization personnel can be comparatively difficult with the sensing network problem, data volume is large, work is uninteresting and make mistakes unavoidably, take cost of labor higher, also can cause bringing issue handling untimely because the drive test data processing is untimely; The 2nd, be difficult to fast anomalous event be judged in advance, and then can't be in advance targetedly the related network elements of wireless network be optimized processing.
In a word, the technical problem that will solve in the urgent need to those skilled in the art is: how a kind of new technical scheme is provided, solve prior art because of adopt road test data carry out the data analysis efficient that signaling playback and linkage analysis bring not high, can not carry out pre-judgement fast to network exception event, thereby the timely problem that also targetedly wireless network is optimized of analyzing and processing drive test data.
Summary of the invention
Technical problem to be solved by this invention is to provide a kind of method for optimizing wireless network based on drive test data, can solve prior art in time analyzing and processing drive test data and the problem that rapidly wireless network is optimized targetedly.
The present invention also provides a kind of radio network optimization device based on drive test data, to guarantee said method application in practice.
In order to address the above problem, the invention discloses a kind of method for optimizing wireless network based on drive test data, comprising: the drive test data that obtains reflection wireless network performance index; Default anomalous event parameter threshold according to the anomalous event matching algorithm, generates dissimilar anomalous event data; According to described anomalous event data and anomalous event type, the reason that the judgement anomalous event occurs is determined relevant network element; According to the described relevant network element device of reason optimization that causes anomalous event.
Described anomalous event matching algorithm is specially: read successively the signaling flow data; By default anomalous event parameter threshold, use dissimilar anomalous event judgment rule, mate and judge the various types of anomalous events that reflect in the signaling flow that gathers described drive test data; Preserve described anomalous event information, generate the anomalous event data; Until signaling flow end.
Preferably, also comprise after the step of the described drive test data that obtains reflection wireless network performance index: according to drive test data, configure corresponding decoder module, described drive test data is decoded, be converted to the signaling flow of predetermined format.
Preferably, also comprise: judge whether described decoded drive test data is linear with the time, if not, delete this drive test data record; And/or, judge whether described decoded drive test data meets signaling specification and the data integrity algorithm of wireless network, if not, delete this drive test data record.
Preferably, before decoded drive test data is converted to the signaling flow of predetermined format, also comprise: merge mode by time merging, distance merging or grid described drive test data is merged processing, wherein: the described merging by the time is that many data in the fixed time section are merged into data; The described merging by distance is that many data in the distance to a declared goal scope are merged into data; The described merging by grid is the measurement unit's scope that arranges according to the user, and the scope of drive test data on average is divided into a plurality of grids, and many data in each grid are merged into data.
Preferably, application system event judgment rule, dropped call event judgment rule and potential problem judgment rule judge successively, and generation system event data, dropped call event data and potential problem data are preserved described data.
Preferably, described according to described anomalous event type, judgement causes the method for the reason of described anomalous event to be specially: centered by the time that causes anomalous event, the signaling in the Preset Time section is carried out recovering and analysis; It is switching problem, network coverage problem or other problem that judgement causes the reason of anomalous event, and switches accordingly link analysis, the statistical analysis of GIS grid or the analysis of problem points network index, determines to cause the reason of described abnormal time; Wherein, cause the reason of described system event comprise device looses power, IDLE, rise exhale, call request foundation, call request success, end of conversation, position updating request, position are upgraded unsuccessfully, the position is updated successfully, ring, switching initiation, handoff failure, handover success, distribution instruction, distribution unsuccessfully, be allocated successfully; Cause that the reason of described dropped call event comprises that little peak nest leaks, covering problem, switching are untimely, handoff failure, negatively cut, interference, rapid fading; Cause the reason of described potential problem to comprise repeating after switching, pingpang handoff, switching apart from the base station become far away, switch after the field intensity variation, switch untimely.
According to another preferred embodiment of the present invention, a kind of radio network optimization device based on drive test data is also disclosed, comprise that data capture unit, anomalous event judgement gather unit, accident analysis unit and network optimization unit, wherein:
Data capture unit is used for obtaining the drive test data of reflection wireless network performance index;
The anomalous event judgement gathers the unit and is used for default anomalous event parameter threshold, according to the anomalous event matching algorithm, generates dissimilar anomalous event data; Described anomalous event matching algorithm is specially: the signaling flow data obtained of reading out data acquiring unit successively; By default anomalous event parameter threshold, use dissimilar anomalous event judgment rule, mate and judge the various types of anomalous events that reflect in the signaling flow that gathers described drive test data; Preserve described anomalous event information, generate the anomalous event data; Until signaling flow end;
The accident analysis unit is used for judging according to anomalous event anomalous event data and the anomalous event type that gathers the unit generation, judges the reason that causes described anomalous event, determines relevant network element;
Network optimization unit is used for optimizing relevant network element device according to the definite reason that causes anomalous event and the relevant network element in described accident analysis unit.
Preferably, described data capture unit comprises the data acquisition subelement, is used for gathering drive test data; The decoding subelement is used for according to drive test data, configures corresponding decoder module described drive test data is decoded; The format conversion subelement is converted to decoded drive test data unification the signaling flow of predetermined format.
Preferably, described data capture unit also comprises the data screening subelement, judges whether the drive test data after described decoding unit decodes is linear with the time, if not, deletes this drive test data record; And/or, judge whether described decoded drive test data meets signaling specification and the data integrity algorithm of wireless network, if not, delete this drive test data record.
Preferably, described data capture unit comprises that also data merge subelement, merge the mode road test data by time merging, distance merging or grid and merge processing, wherein: the described merging by the time is that many data in the fixed time section are merged into data; The described merging by distance is that many data in the distance to a declared goal scope are merged into data; The described merging by grid is the measurement unit's scope that arranges according to the user, and the scope of drive test data on average is divided into a plurality of grids, and many data in each grid are merged into data.
Preferably, the judgement of described anomalous event gathers the unit and comprises system event judgment sub-unit, dropped call event judgment sub-unit and potential problem judgment sub-unit, first application system event judgment sub-unit according to the system event judgment rule judge, generation, saved system event data; Use again the dropped call event judgment sub-unit and judge, generate, preserve the dropped call event data according to the dropped call event judgment rule; Use again the potential problem judgment sub-unit and judge, generate, preserve the potential problem data according to the potential problem judgment rule.
Preferably, described accident analysis unit specifically comprises: be used for the signaling in the Preset Time section being carried out the signaling playback subelement of recovering and analysis centered by the time that causes anomalous event; Be used for judging that causing the reason of anomalous event is the Question Classification subelement of switching problem, network coverage problem or other problem; Be used for corresponding switching chain is carried out the switching problem analysis subelement of Analysis deterrmination problem reason; Be used for analyzing subelement and analyzing subelement for the problem points of carrying out Analysis deterrmination problem reason by the network of relation index of problem points by the network coverage that the GIS grid carries out statistical analysis problem identificatioin reason to network coverage situation; Wherein, cause the reason of described system event comprise device looses power, IDLE, rise exhale, call request foundation, call request success, end of conversation, position updating request, position are upgraded unsuccessfully, the position is updated successfully, ring, switching initiation, handoff failure, handover success, distribution instruction, distribution unsuccessfully, be allocated successfully; Cause that the reason of described dropped call event comprises that little peak nest leaks, covering problem, switching are untimely, handoff failure, negatively cut, interference, rapid fading; Described potential problem comprise repeat after switching, pingpang handoff, switching apart from the base station become far away, switch after the field intensity variation, switch untimely.
Compared with prior art, the present invention has the following advantages:
The preferred embodiment of the present invention can be carried out the preanalysis to anomalous event according to anomalous event parameter threshold configuration information, can locate fast anomalous event, and then efficiently obtain the problem reason of reflection event present situation, for the user has saved loaded down with trivial details data analysis workload.Can solve the data-handling efficiency that prior art causes because needing manually to pinpoint the problems in the signaling replayed section not high, can not in time process the magnanimity drive test data, and, the problem that can't be optimized wireless network rapidly targetedly because of accurate orientation problem.
In the further preferred embodiment of the present invention, can decode to the drive test data from different driver test systems, thereby formatted data of the same race is compared, can be efficiently locating events network element rapidly.
In the further preferred embodiment of the present invention, screening by road test data, weed out the content of the information distortion that causes due to reasons such as file division, time delays, can avoid producing in follow-up data is analyzed and disturb or data contamination, further improve the efficient of anomalous event data analysis.In the further preferred embodiment of the present invention, also merge according to the dependency rule road test data, form a complete and signaling report stream accurately, can further promote the data analysis performance, the efficient when guaranteeing to analyze.
In the further preferred embodiment of the present invention, application system event judgment rule, dropped call event judgment rule and potential problem judgment rule judge generation corresponding event data successively, analyze according to the reason list that causes all kinds of events, judge whether system event reason, dropped call event reason or potential problem, greatly strengthened the quick and accuracy of decision event reason and locating events network element.
Description of drawings
Fig. 1 is the flow chart that the present invention is based on method for optimizing wireless network first embodiment of drive test data;
Fig. 2 is the flow chart that the present invention is based on method for optimizing wireless network second embodiment of drive test data;
Fig. 3 is the flow chart that the present invention is based on method for optimizing wireless network the 3rd embodiment of drive test data;
Fig. 4 the present invention is based on anomalous event coupling flow process in method for optimizing wireless network the 3rd embodiment of drive test data;
Fig. 5 the present invention is based on the configuration of dropped call event parameter in method for optimizing wireless network the 3rd embodiment of drive test data and Analysis of Causes on Dropped Call for example;
Fig. 6 is the structured flowchart that the present invention is based on radio network optimization device first embodiment of drive test data;
Fig. 7 is the structured flowchart that the present invention is based on radio network optimization device second embodiment of drive test data.
Embodiment
The present invention is further detailed explanation below in conjunction with the drawings and specific embodiments.
Embodiment of the method one:
With reference to Fig. 1, show the flow process of method for optimizing wireless network the first embodiment that the present invention is based on drive test data, specifically comprise the following steps:
Step S101: the drive test data that obtains and process reflection wireless network performance index;
The driver test system that utilizes each road measuring device manufacturer to provide obtains and processes the drive test data of reflection wireless network performance index, is the time series signaling flow that comprises testing time, testing location, network element performance index parameter information.Process these drive test datas for ease of efficient, but standard is the signaling flow file of consolidation form.
Step S102: default anomalous event parameter threshold according to the anomalous event matching algorithm, generates dissimilar anomalous event data.
Described anomalous event matching algorithm is specially:
Read successively the signaling flow data;
By default anomalous event parameter threshold, use dissimilar anomalous event judgment rule, mate and judge the various types of anomalous events that reflect in the signaling flow that gathers described drive test data;
Preservation gathers described anomalous event information, generates the anomalous event data;
Until signaling flow end.
The anomalous event data that generate comprise event type, the information such as the sampling time when producing this event, sampled point, parameter, the metrical informations such as the field intensity of 6 adjacent areas that parameter such as Serving cell and signal are the strongest, distance, and relevant result of calculation information.
Dissimilar anomalous event all may owing to there being different relevant parameters to surmount the normality threshold scope, can judge whether possibility abnormal event thereby whether surmount described threshold range according to parameter.
The anomalous event type that wireless network occurs can be divided according to the pass angle of direction that the network optimization is safeguarded, as system event, dropped call event and potential problem; Also can classify according to network problem, for example device events, network service event, security incident, quality of service event etc.; Can also classify according to class of business, voice service affair, short message service event, circuit domain business application affairs, packet switch domain service application affairs etc.
Dissimilar anomalous event, corresponding to making a decision with different anomalous event matching algorithms, the anomalous event matching algorithm is dependent on the anomalous event judgment rule.Described rule comes from the experience that network operation that the O﹠M personnel form gradually based on the understanding to equipment, network, traffic issues is for a long time optimized.Then, with described may abnormal the signaling data of event save as intermediate data, be also the anomalous event data.
This step can filter out a large amount of normal data for the source data that gets and no longer process, so that next step only processes the data of possibility abnormal event.
Step S103: according to the anomalous event information in described anomalous event data, judge the reason that anomalous event occurs, determine the network element of abnormal event;
Contain the net element information that anomalous event occurs in described anomalous event data.
In practice, can also further confirm determined network element by the method for signaling recovering and analysis, i.e. centered by the time point that causes anomalous event (for example 8:10) carries out the recovering and analysis of short-term to the signaling of (as in front and back 3 minutes, i.e. 8:07 to 8:13) in the Preset Time section; And the reason that judges the anomalous event that causes described type is switching problem, network coverage problem or other problem, and can switch accordingly link analysis, based on GIS-Geographic Information System (GIS, Geographic Information System) grid in carries out statistical analysis or the analysis of problem points network index, determines to cause the reason of described abnormal time.
Step S104: according to the described relevant network element device of reason optimization that causes anomalous event.
According to the reason that causes anomalous event that step S103 determines, determine the network element of abnormal event, and corresponding network element device is optimized maintenance.
If road test data is done some preliminary treatment, will promote efficient and the accuracy of anomalous event judgement, the present invention proposes further implementation method, square method embodiment two:
With reference to Fig. 2, show the flow process of method for optimizing wireless network the second embodiment that the present invention is based on drive test data, specifically comprise the following steps:
Step S201: the drive test data that gathers reflection wireless network performance index;
The driver test system that utilizes each road measuring device manufacturer to provide collects the original drive test data of reflection wireless network performance index.
Step S202: the described drive test data that obtains is done further data process, according to drive test data, configure corresponding decoder module, road test data is decoded; Be converted to the signaling flow of unified predetermined format;
A large amount of operational trials systems that use various different road measuring devices in the existing network Optimization Work, the testing tool of these different vendors, test function, characteristics are different, mutual eternal lasting, really play an important role in current network optimization work, but due to the difference of these testing equipments manufacturer, the difference of daemon software, the difference of data storage method, difference and the Key Performance Indicator (KPI of file format, Key Performance Indicator) difference of definition, all causing can't be with the unified processing of the output data of numerous road measuring devices.The preferred embodiment of the present invention is by configuring and merge the decoder module of each road measuring device manufacturer, decoded data are pressed consolidation form organising data stream, not only can carry out linkage analysis to the drive test data from same driver test system, can also carry out linkage analysis to the drive test data from different driver test systems.
In actual implementation process, the form of signaling flow needs pre-defined unification, for example, the consolidation form that definition is comprised of the order line form, can comprise: fileinfo is capable, parameter registration is capable, the report registration is gone, report data is capable, order occurs in accordance with regulations, and the test data that report data is capable is stored in chronological order.Wherein, fileinfo is capable comprises trade name, device name, version number, time; Capable type, scope and the description that comprises parameter of parameter registration; Report registration row comprises the title of some parameters; The capable value that comprises some parameters of report data.
The decoder module of configuration is realized transferring drive test data to predefined consolidation form signaling flow, and can arrange is provided by the exploitation of road measuring device producer, also can be according to the conversion newly developed of drive test data self form.Move the second road measuring device of Operation Network as example to be applied in first, the file format of this road measuring device output is the RCU file, this programme is after getting the RCU file, can drive the decoding program of this drive test manufacturer file by message hook, the RCU file decoding be generated the signaling flow file that meets unified standard.
Step S203: the data of deleting in described signaling flow file the information distortion that causes due to file division or time delay;
For decoded data, further delete the content of information distortion, can avoid producing in subsequent analysis and disturb or data contamination.
Decision method about information distortion: the firstth, according to the timeline sexual intercourse, there is the information of delay can cause temporal confusion, linear relationship that can't the correction time, linear relationship on can not presentative time, therefore whether meet linear relationship on the reduced time, if do not meet, be distortion data; The secondth, by global system for mobile communications (GSM, Global System of Mobile communication), synchronous CDMA (Code Division Multiple Access) (TD-SCDMA of time-division, Time Division-Synchronous Code Division Multiple Access) the signaling specification example of wireless network such as, with decoded Data Comparison, what can't normally mate standard is the data message of distortion.
In this preferred embodiment, for distortion information, two kinds of processing modes are arranged: the one, directly delete the data of distortion; The 2nd, according in the signal resource table up and down signaling flag bit judge whether distortion information belongs to important information, if important information keeps distortion data; Otherwise system is ignored it automatically.Described signal resource table is the set of the signaling of arranging in order, and flag bit wherein and data message can be used for judging whether signaling information is important.
Step S204: before decoded drive test data is converted to the signaling flow of predetermined format, can also does further data and process, by the time merge, distance merges or grid merges the drive test data of mode after to above-mentioned screening and merges processing;
Time merges mode: many data in the fixed time section are merged into data;
Apart from the merging mode: many data in the distance to a declared goal scope are merged into data;
Merge according to grid: measurement unit's scope that can arrange according to the user, the scope of whole drive test data on average is divided into a plurality of grids, many data in each grid can be merged into data.
After screening is readable, trust data, but not necessarily complete, also needs according to above-mentioned rule, multiple data stream or data file to be merged, and forms a complete and signaling flow accurately.Again this signaling flow is formatd processing afterwards, unified predetermined format file or the data flow of being processed into.
Step S205: by default relevant parameter threshold value, according to the anomalous event matching algorithm, judge and gather data after above-mentioned processing, generating dissimilar anomalous event data;
Step S206: according to the anomalous event type in above-mentioned anomalous event data, judgement causes the reason of above-mentioned anomalous event generation, determines the network element of abnormal event;
Step S207: according to the above-mentioned relevant network element device of reason optimization that causes anomalous event.
Because wireless network self system problem and Special Handle of Drop Question are the problems of outstanding behaviours in the wireless network O﹠M, therefore, the present invention is the practical application that suits the network optimization, proposes the network optimization technical scheme of practicability and effectiveness, the flow process of following third method embodiment shown in Figure 3:
Step S301: the drive test data that obtains reflection wireless network performance index;
Step S302: default anomalous event parameter threshold according to the anomalous event matching algorithm, generates dissimilar anomalous event data;
Described anomalous event matching algorithm is specially:
Read successively the signaling flow data;
By default anomalous event parameter threshold, application system event judgment rule, dropped call event judgment rule and potential problem judgment rule mate successively and judge system event, dropped call event and the potential problem that reflects in the signaling flow that gathers described drive test data;
Generation system event data, dropped call event data and potential problem data are preserved;
Until signaling flow end.
In this step, O﹠M personnel actual concern point is divided into system event, dropped call event, potential problem three major types.The experience of the relevant parameter threshold range that can occur according to all kinds of events forms all kinds of event matches and evaluation algorithm, mates and evaluation algorithm as system event coupling and evaluation algorithm, dropped call event coupling and evaluation algorithm and potential problem.Each algorithm all according to relevant rule match and judgement, is found out the event data that meets dependency rule and gathers.
Referring to Fig. 4, the anomalous event matching algorithm process in third embodiment of the invention is described below:
Step S302-1: the init state position is set: the parameter in the configuration parameter table is carried out initialization.
Step S302-2: data loading: to decoded data, in the mode of linear session sequence signaling flow, order is written into.
Step S302-3: system event analysis: use the system event judgment rule, mode bit is judged, if meet rule, treat as system event, turn step S302-6; Otherwise, turn step S302-4.
Step S302-4: dropped call event analysis: use the dropped call event judgment rule, mode bit is judged, if meet rule, treat as dropped call event, turn step S302-6; Otherwise, turn step S302-5.
Step S302-5: potential problem analysis: use the potential problem judgment rule, mode bit is judged, if meet rule, treat as hidden danger, turn step S302-6; Otherwise, turn step S302-7.
Step S302-6: described event is put into the event pond.
Step S302-7: judge whether to arrive the signaling flow end, if turn step S302-8; Otherwise, turn step S302-3.
Step S302-8: if the event pond is not empty, format event data information, be packaged into unified warehouse-in script.Carry out in-stockroom operation in batches, the event analysis result is stored lastingly, call for analyzing.
Mate with evaluation algorithm as example take dropped call event, referring to Fig. 5, set in advance the relevant parameter of the dropped call event of different reasons initiations, be the event trigger threshold values, then, to the drive test data that reads, automatically compare and analyze according to algorithm, if data reach the threshold values of relevant parameter, this event is triggered, i.e. corresponding dropped call event may occur in judgement.For example, when Serving cell and the poor predefined value (as being set to 6 dBm) that reaches of field intensity of strong adjacent area, and continued the predefined time (as being set to 6 seconds), i.e. judgement may occur owing to switching the untimely dropped call event that causes.
Step S303: according to the anomalous event type in described anomalous event data, judge the reason that anomalous event occurs, determine the network element of abnormal event;
Find relevant net element information from described system exception event, call drop anomalous event, potential problem abnormal data.
Wherein, cause the reason list of all kinds of events to be analyzed according to following:
Cause the reason of system event to comprise: device looses power, IDLE, rise exhale, call request foundation, call request success, end of conversation, position updating request, position are upgraded unsuccessfully, the position is updated successfully, ring, switching initiation, handoff failure, handover success, distribution instruction, distribution unsuccessfully, be allocated successfully;
Cause the reason of dropped call event to comprise: little peak nest leaks, covering problem, switching are untimely, handoff failure, negatively cut, interference, rapid fading;
Potential problem comprises: repeat after switching, pingpang handoff, switching apart from the base station become far away, switch after the field intensity variation, switch untimely.
The anomalous event analysis of causes in above step S303 can be completed in the anomalous event matching algorithm together.
Step S304: according to the above-mentioned relevant network element device of reason optimization that causes anomalous event.
According to the reason that causes anomalous event that step S303 determines, determine the network element of abnormal event, and corresponding network element device is optimized maintenance.
For aforesaid each embodiment of the method, simple in order to describe, therefore it all is expressed as a series of combination of actions, but those skilled in the art should know, the present invention is not subjected to the restriction of described sequence of movement, because according to the present invention, some step can adopt other orders or carry out simultaneously; Secondly, those skilled in the art also should know, said method embodiment all belongs to preferred embodiment, and related action and module might not be that the present invention is necessary.
Device embodiment:
With reference to Fig. 6, show the structured flowchart of radio network optimization device the first embodiment that the present invention is based on drive test data, comprise that specifically the judgement of data capture unit 31, anomalous event gathers unit 32, accident analysis unit 33 and network optimization unit 34, wherein:
Data capture unit 31: the drive test data that is used for obtaining the described wireless network performance index of reflection.
The anomalous event judgement gathers unit 32, is used for: default anomalous event parameter threshold according to the anomalous event matching algorithm, generates dissimilar anomalous event data.
Described anomalous event matching algorithm is specially:
The signaling flow data obtained of reading out data acquiring unit successively;
By default anomalous event parameter threshold, use dissimilar anomalous event judgment rule, mate and judge the various types of anomalous events that reflect in the signaling flow that gathers described drive test data;
Preserve described anomalous event information, generate the anomalous event data;
Until signaling flow end.
Accident analysis unit 33: be used for judging according to anomalous event and gather anomalous event data and the definite anomalous event type that unit 32 generates, judgement causes the reason of this anomalous event, definite relevant network element.
Network optimization unit 34: be used for the reason that causes anomalous event determined according to accident analysis unit 33, optimize relevant network element device.
If road test data is done some preliminary treatment, will promote efficient and the accuracy of anomalous event judgement, the present invention proposes further implement device.Referring to Fig. 7, show the structured flowchart of radio network optimization device the second embodiment that the present invention is based on drive test data, in this preferred embodiment, described data capture unit 31 specifically comprises:
Decoding subelement 312: be used for the drive test data according to 311 acquisitions of data acquisition subelement, configure corresponding decoder module described drive test data is decoded; And format conversion subelement 313 is converted to decoded drive test data unification the signaling flow of predetermined format.
Disturb or data contamination for avoiding producing in subsequent analysis, further delete the content of information distortion, described data capture unit 31 can further include:
Data screening subelement 314: be used for judging whether drive test data is linear with the time, if not, delete this drive test data record; And/or, with the signaling specification of wireless network and the decoding decoded Data Comparison of subelement 312 or with 313 formats of format conversion subelement after Data Comparison, if it fails to match, delete this drive test data record; Wherein, above-mentioned drive test data can be the drive test data that data acquisition subelement 311 obtains, and can be also the drive test data after decoding subelement 312 and 313 processing of format conversion subelement.
Form a complete and signaling flow accurately, described data capture unit 31 can further include:
Data merge subelement 315: be used for merging the mode road test data by time merging, distance merging or grid and merge processing; Wherein, above-mentioned drive test data can be the drive test data that data acquisition subelement 311 obtains, and can be also the drive test data after decoding subelement 312 and format conversion subelement 313 and/or 314 processing of data screening subelement.
The above-mentioned merging by the time is that many data in fixed time length are merged into data; Merging by distance is that many data in distance to a declared goal are merged into data; Merging by grid is the measurement unit's scope that arranges according to the user, and the scope of drive test data on average is divided into a plurality of grids, and many data in each grid are merged into data.
For suiting the practical application of the network optimization, the present invention also proposes the network optimization implement device of practicability and effectiveness, the judgement of described anomalous event gathers unit 32 and also comprises system event judgment sub-unit, dropped call event judgment sub-unit and potential problem judgment sub-unit, first application affairs judgment sub-unit according to the system event judgment rule judge, generation, saved system event data; Use again the dropped call event judgment sub-unit and judge, generate, preserve the dropped call event data according to the dropped call event judgment rule; Use again the potential problem judgment sub-unit and judge, generate, preserve the potential problem data according to the potential problem judgment rule.
Need to prove, it can be the data that data acquisition subelement 311 obtains that the anomalous event judgement gathers unit 32 drive test data to be processed, can be also the drive test data after decoding subelement 312, format conversion subelement 313, data screening subelement 314 and/or data merge subelement 315 processing.Described accident analysis unit 33 can also specifically comprise: be used for the signaling in the Preset Time section being carried out the signaling playback subelement 331 of recovering and analysis centered by the time that causes anomalous event; Be used for judging that causing the reason of anomalous event is the Question Classification subelement 332 of switching problem, network coverage problem or other problem; Be used for corresponding switching chain is carried out the switching problem analysis subelement 333 of Analysis deterrmination problem reason; Be used for analyzing subelement 334 and analyzing subelement 335 for the problem points of carrying out Analysis deterrmination problem reason by the network of relation index of problem points by the network coverage that the GIS grid carries out statistical analysis problem identificatioin reason to network coverage situation.
Need to prove, said apparatus embodiment belongs to preferred embodiment, and related unit and module might not be that the present invention is necessary.
Each embodiment in this specification all adopts the mode of going forward one by one to describe, and what each embodiment stressed is and the difference of other embodiment that between each embodiment, identical similar part is mutually referring to getting final product.For device embodiment of the present invention, because it is substantially similar to embodiment of the method, so description is fairly simple, relevant part gets final product referring to the part explanation of embodiment of the method.
Above a kind of method for optimizing wireless network and device based on drive test data provided by the present invention is described in detail, used specific case herein principle of the present invention and execution mode are set forth, the explanation of above embodiment just is used for helping to understand method of the present invention and core concept thereof; Simultaneously, for one of ordinary skill in the art, according to thought of the present invention, all will change in specific embodiments and applications, in sum, this description should not be construed as limitation of the present invention.
Claims (12)
1. the method for optimizing wireless network based on drive test data, is characterized in that, comprising:
Obtain the drive test data of reflection wireless network performance index;
Default anomalous event parameter threshold according to the anomalous event matching algorithm, generates dissimilar anomalous event data; According to described anomalous event data and anomalous event type, the reason that the judgement anomalous event occurs is determined relevant network element;
According to the described relevant network element device of reason optimization that causes anomalous event;
Described anomalous event matching algorithm is specially:
Read successively the signaling flow data;
By default anomalous event parameter threshold, use dissimilar anomalous event judgment rule, mate and judge the various types of anomalous events that reflect in the signaling flow that gathers described drive test data;
Preserve described anomalous event information, generate the anomalous event data;
Until signaling flow end.
2. the method for claim 1, it is characterized in that, also comprise after the step of the described drive test data that obtains reflection wireless network performance index: according to drive test data, configure corresponding decoder module, described drive test data is decoded, be converted to the signaling flow of predetermined format.
3. method as claimed in claim 2, is characterized in that, also comprises:
Judge whether described decoded drive test data is linear with the time, if not, delete this drive test data record; And/or, judge whether described decoded drive test data meets signaling specification and the data integrity algorithm of wireless network, if not, delete this drive test data record.
4. method as claimed in claim 3, is characterized in that, decoded drive test data also comprises before being converted to the signaling flow of predetermined format: merge mode by time merging, distance merging or grid described drive test data is merged processing, wherein:
The described merging by the time is that many data in the fixed time section are merged into data;
The described merging by distance is that many data in the distance to a declared goal scope are merged into data;
The described merging by grid is the measurement unit's scope that arranges according to the user, and the scope of drive test data on average is divided into a plurality of grids, and many data in each grid are merged into data.
5. method as described in one of claim 1 to 4, it is characterized in that, application system event judgment rule, dropped call event judgment rule and potential problem judgment rule judge successively, and generation system event data, dropped call event data and potential problem data are preserved described data.
6. method as claimed in claim 5, is characterized in that,
Described according to described anomalous event type, judgement causes the method for the reason of described anomalous event to be specially: centered by the time that causes anomalous event, the signaling in the Preset Time section is carried out recovering and analysis; It is switching problem, network coverage problem or other problem that judgement causes the reason of anomalous event, and switches accordingly link analysis, the statistical analysis of GIS grid or the analysis of problem points network index, determines to cause the reason of described abnormal time;
Wherein, cause the reason of described system event comprise device looses power, IDLE, rise exhale, call request foundation, call request success, end of conversation, position updating request, position are upgraded unsuccessfully, the position is updated successfully, ring, switching initiation, handoff failure, handover success, distribution instruction, distribution unsuccessfully, be allocated successfully; Cause that the reason of described dropped call event comprises that little peak nest leaks, covering problem, switching are untimely, handoff failure, negatively cut, interference, rapid fading; Cause the reason of described potential problem to comprise repeating after switching, pingpang handoff, switching apart from the base station become far away, switch after the field intensity variation, switch untimely.
7. the radio network optimization device based on drive test data, is characterized in that, comprises that the judgement of data capture unit, anomalous event gathers unit, accident analysis unit and network optimization unit, wherein:
Data capture unit is used for obtaining the drive test data of reflection wireless network performance index;
The anomalous event judgement gathers the unit and is used for default anomalous event parameter threshold, according to the anomalous event matching algorithm, generates dissimilar anomalous event data;
Described anomalous event matching algorithm is specially:
The signaling flow data obtained of reading out data acquiring unit successively;
By default anomalous event parameter threshold, use dissimilar anomalous event judgment rule, mate and judge the various types of anomalous events that reflect in the signaling flow that gathers described drive test data;
Preserve described anomalous event information, generate the anomalous event data;
Until signaling flow end;
The accident analysis unit is used for judging according to anomalous event anomalous event data and the anomalous event type that gathers the unit generation, judges the reason that causes described anomalous event, determines relevant network element;
Network optimization unit is used for optimizing relevant network element device according to the definite reason that causes anomalous event and the relevant network element in described accident analysis unit.
8. device as claimed in claim 7, is characterized in that, described data capture unit comprises the data acquisition subelement, is used for gathering drive test data; The decoding subelement is used for according to drive test data, configures corresponding decoder module described drive test data is decoded; The format conversion subelement is converted to decoded drive test data unification the signaling flow of predetermined format.
9. device as claimed in claim 8, is characterized in that, described data capture unit also comprises the data screening subelement, judges whether the drive test data after described decoding unit decodes is linear with the time, if not, deletes this drive test data record; And/or, judge whether described decoded drive test data meets signaling specification and the data integrity algorithm of wireless network, if not, delete this drive test data record.
10. device as claimed in claim 9, is characterized in that, described data capture unit comprises that also data merge subelement, merge the mode road test data by time merging, distance merging or grid and merge processing, wherein:
The described merging by the time is that many data in the fixed time section are merged into data;
The described merging by distance is that many data in the distance to a declared goal scope are merged into data;
The described merging by grid is the measurement unit's scope that arranges according to the user, and the scope of drive test data on average is divided into a plurality of grids, and many data in each grid are merged into data.
11. device as described in one of claim 7 to 10, it is characterized in that, the judgement of described anomalous event gathers the unit and comprises system event judgment sub-unit, dropped call event judgment sub-unit and potential problem judgment sub-unit, first application system event judgment sub-unit according to the system event judgment rule judge, generation, saved system event data; Use again the dropped call event judgment sub-unit and judge, generate, preserve the dropped call event data according to the dropped call event judgment rule; Use again the potential problem judgment sub-unit and judge, generate, preserve the potential problem data according to the potential problem judgment rule.
12. device as claimed in claim 11 is characterized in that, described accident analysis unit specifically comprises: be used for the signaling in the Preset Time section being carried out the signaling playback subelement of recovering and analysis centered by the time that causes anomalous event; Be used for judging that causing the reason of anomalous event is the Question Classification subelement of switching problem, network coverage problem or other problem; Be used for corresponding switching chain is carried out the switching problem analysis subelement of Analysis deterrmination problem reason; Be used for analyzing subelement and analyzing subelement for the problem points of carrying out Analysis deterrmination problem reason by the network of relation index of problem points by the network coverage that the GIS grid carries out statistical analysis problem identificatioin reason to network coverage situation;
Wherein, cause the reason of described system event comprise device looses power, IDLE, rise exhale, call request foundation, call request success, end of conversation, position updating request, position are upgraded unsuccessfully, the position is updated successfully, ring, switching initiation, handoff failure, handover success, distribution instruction, distribution unsuccessfully, be allocated successfully; Cause that the reason of described dropped call event comprises that little peak nest leaks, covering problem, switching are untimely, handoff failure, negatively cut, interference, rapid fading; Described potential problem comprise repeat after switching, pingpang handoff, switching apart from the base station become far away, switch after the field intensity variation, switch untimely.
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