CN101217766A - A network optimization real-time parameter optimization system and corresponding method applied for mobile network - Google Patents
A network optimization real-time parameter optimization system and corresponding method applied for mobile network Download PDFInfo
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Abstract
The invention relates to a network optimization real-time parameter optimization adjustment system and a method, in particular to the network optimization real-time parameter optimization adjustment system and the method used for a mobile network. The invention realizes modularization of an automatic real-time parameter optimization problem and is totally divided into a drop call transaction part and a congestion transaction part; furthermore, the two parts are divided into a plurality of sub-modules, only in this way various problems can be transacted pertinently and the correlation of various problems can be considered in the integral algorithm. Therefore, the invention has the advantages that: 1 the manpower operation is not used, real-time adjustment and optimization of individual is realized, batch transaction is realized integrally, the response speed is fast, the systematization and scale are realized, the invention is convenient for parameter modification trace inquiry and summarization and analysis, the manpower operation is simplified and the cost is saved; 2 performance alarms such as congestion, drop call, etc. are effectively controlled, and the resources are utilized reasonably.
Description
Technical field
The present invention relates to a kind of network optimization real-time parameter and optimize and revise system and method thereof, the network optimization real-time parameter that especially relates to a kind of mobile network of being used for is optimized and revised system and method thereof.
Background technology
Virtual network operator need need be analyzed, adjust in the network operation process at network performance index, and this process cycle is long, complexity is high.Often much have regular performance alarm and in processing procedure, expended lot of manpower and material resources, exist simultaneously performance alarm to occur and the network operator does not in time handle the problem of operation.Also very high in the real-time optimization demand that performance index is required improve day by day, experience at the user.
Parameter adjustment in the past is divided into dual mode: single sub-district is handled immediately according to instant traffic situation and artificial experience; share traffic and control switching; this a kind of mode needs network optimization worker in the every real-time index of the other close attention of operating terminal, and can not operate simultaneously a large amount of sub-districts.And network busy hour has been when towards evening is busy at present or even nocturnal migration, this just cause this part operation, often optimize and carry out second day ability.The parameter adjustment instant effect to congested can the playing a role in real time of burst, is difficult to systematization, the frequent negative effect that influences network stabilization and influence drive test of adjustment but exist.
The second way is to formulate the DT file at extensive sub-district according to traffic measurement to carry out batch modification.By the wireless parameter adjustment of necessity, play the targets such as elimination of equalizing traffic volume, switching controls, performance alarm.Boundary position when main method is adjustment sub-district free time, talking state, switch sequence, transmitting power etc. are to reach the purpose of the traffic that rationally distributes within the specific limits.Major parameter has: CRO → load sharing → BSRXSUFF → MSRXMIN → KHYST (KOFFSET) → TALIM → LAYER → ACCMIN → BSPWRT BSPWRB.This mode is the continuity of first kind of mode, but has the duplication of labour, adjusts problems such as untimely.
More than two kinds of methods all be the basic skills that network is adjusted in fact, but do not form complete experience and system, and rely on the network operator to carry out manual operations.
Summary of the invention
The present invention solves existing in prior technology network optimization real-time parameter to optimize and revise method and system and do not form complete experience and system, and all be to rely on the network operator to carry out manual operations, inefficiency, the labour cost height, and etc. technical problem; Provide a kind of without manual operation; promptly individuality has been realized real-time adjustment optimization; again integral body has been realized that batch process, response speed are fast; systematization, scale have been realized; also be convenient to parameter modification vestige inquiry and analysis and summary, the network optimization real-time parameter that is used for the mobile network of simplified manual operation, having saved cost is optimized and revised system and method thereof.
It is to solve existing in prior technology can not effectively control performance alarm such as congested, call drop that the present invention also has a purpose, causes the technical problem of the serious waste etc. of resource; Performance alarm such as a kind of effective control is congested, call drop are provided, have rationally utilized the network optimization real-time parameter that is used for the mobile network of resource to optimize and revise system and method thereof.
Above-mentioned technical problem of the present invention is mainly solved by following technical proposals:
The network optimization real-time parameter that is used for the mobile network is optimized and revised system, it is characterized in that, comprises
Be used to customize the task customized module of the task of optimizing and revising;
The configuration module that is used for the configuration process mode;
Needs are optimized and revised the real-time index collection module that target is carried out real-time index collection;
Optimize and revise target for needs and carry out the real-time call drop analysis module that call drop is analyzed;
Optimize and revise the real-time congestion analysis module that target is carried out congestion analysis for needs;
Optimize and revise the fault treating apparatus that target is carried out troubleshooting for needs.
Described configuration module links to each other with real-time index collection module with the task customized module respectively, described real-time index collection module links to each other with real-time congestion analysis module with real-time call drop analysis module respectively, and described fault treating apparatus links to each other with real-time congestion analysis module respectively at real-time call drop analysis module.
Optimize and revise system at the above-mentioned network optimization real-time parameter that is used for the mobile network, described fault treating apparatus comprises hardware fault processing module, equalizing traffic volume processing module, interlayer hand-off process module, reduces the incoming call processing module, reduces the covering processing module, removes the slip processing module, disturbs processing module, weak signal place module and Edge data adjusting module.
A kind of mobile network's of being used for network optimization real-time parameter is optimized and revised method, it is characterized in that, may further comprise the steps:
A. needs are optimized and revised the step that task is optimized and revised in the target customization;
B. needs are optimized and revised the step that target is used for the configuration process mode;
C. needs are optimized and revised the step that target is carried out real-time index collection;
D. needs are optimized and revised target and carry out the step that real-time call drop is analyzed;
E. needs are optimized and revised the step that target is carried out real-time congestion analysis;
F. to optimizing and revising the step that target is carried out troubleshooting through the needs of real-time call drop analysis and real-time congestion analysis.
The present invention realizes index analysis and corresponding adjustment optimization, and such being adjusted at when performance alarm occurs carried out, and without manual operation, the process of operating stored, for network optimization person's subsequent analysis.Like this,, promptly individuality has been realized real-time adjustment optimization, again integral body has been realized that batch process, response speed are fast just with the abundant combination of above dual mode.
The real-time parameter adjusting module takes into full account indivedual and whole adjustment situation, on the basis of monitoring in real time, by historical data analysis, utilizes optimized Algorithm to make adjustment by system.The purpose of doing like this is to have controlled the network bursting problem immediately, also takes into account whole traffic situation, and is finished by systematic unity, has realized systematization, scale, also is convenient to inquiry of parameter modification vestige and analysis and summary, has simplified manual operation, has saved cost.
Automatically the real-time parameter optimal module is monitored the reality of collection traffic indicator situation when busy in real time according to system, created wireless optimization intellectualized algorithm, the adjustment and the network operation of real-time parameters, thereby can reach performance alarm such as effective control is congested, call drop, the purpose of making rational use of resources.
Therefore, the present invention has following advantage: 1. without manual operation, promptly individuality has been realized real-time adjustment optimization, again integral body has been realized that batch process, response speed are fast, systematization, scale have been realized, also be convenient to inquiry of parameter modification vestige and analysis and summary, simplified manual operation, saved cost; 2. effectively control performance alarm such as congested, call drop, rationally utilized resource.
Description of drawings
Fig. 1 is a kind of fundamental diagram of the present invention.
Embodiment
Below by embodiment, and in conjunction with the accompanying drawings, technical scheme of the present invention is described in further detail.
Embodiment:
As shown in Figure 1: the network optimization real-time parameter that is used for the mobile network is optimized and revised system, comprises
Be used to customize the task customized module of the task of optimizing and revising;
The configuration module that is used for the configuration process mode;
Needs are optimized and revised the real-time index collection module that target is carried out real-time index collection;
Optimize and revise target for needs and carry out the real-time call drop analysis module that call drop is analyzed;
Optimize and revise the real-time congestion analysis module that target is carried out congestion analysis for needs;
Optimize and revise the fault treating apparatus that target is carried out troubleshooting for needs.
Configuration module links to each other with real-time index collection module with the task customized module respectively, and the index collection module fault treating apparatus that links to each other with real-time call drop analysis module and real-time congestion analysis module respectively links to each other with real-time congestion analysis module respectively at real-time call drop analysis module in real time.Fault treating apparatus comprises hardware fault processing module, equalizing traffic volume processing module, interlayer hand-off process module, reduces the incoming call processing module, reduces the covering processing module, removes the slip processing module, disturbs processing module, weak signal place module and Edge data adjusting module.
The network optimization real-time parameter that is used for the mobile network is optimized and revised method, may further comprise the steps:
A. needs are optimized and revised the step that task is optimized and revised in the target customization;
B. needs are optimized and revised the step that target is used for the configuration process mode;
C. needs are optimized and revised the step that target is carried out real-time index collection;
D. needs are optimized and revised target and carry out the step that real-time call drop is analyzed;
E. needs are optimized and revised the step that target is carried out real-time congestion analysis;
F. to optimizing and revising the step that target is carried out troubleshooting through the needs of real-time call drop analysis and real-time congestion analysis.
The present invention has realized automatic real-time parameter optimization problem modularization, totally be divided into and be call drop processing and congested processing two parts, be divided into a plurality of submodules then under the two large divisions again, only in this way, each problem could be handled targetedly, in total algorithm, be considered the relevance of each problem simultaneously.Workflow as shown in Figure 1.
In the present embodiment, the call drop analysis module is used to analyze the reason that causes call drop in real time, and the reason that causes call drop is mainly by the base station fault, and weak signal problem, interference problem and transmission fault cause; The congestion analysis module is to carrying out real-time TCH congestion analysis and real-time SDCCH congestion analysis in real time, wherein, the TCH congestion analysis is primarily aimed at the general busy target of TCH, extremely busy target of TCH and TCH channel move back clothes problem such as congested and analyze, and the SDCCH congestion analysis is primarily aimed at that data business signaling is congested, the speech business signaling congestion, access failure problem, unusual call drop problem, channel move back the congested and position of clothes and upgrade the congestion problems that causes and analyze at random.
In the present embodiment, above-mentioned various failure problems is carried out troubleshooting by fault processing modules different in the fault treating apparatus, and hardware fault processing module, equalizing traffic volume processing module, interlayer hand-off process module, the incoming call processing module that reduces, minimizing cover processing module, remove the slip processing module, disturb processing module, weak signal place module and Edge data adjusting module.
Respectively above-mentioned fault processing module is described below:
The algorithm of call drop analysis module is as follows in real time:
A. detect the target that whether is untreated,, carry out next step if having; If there is not end of run.
B. detect the target that is untreated and whether satisfy macrocellular number of dropped calls＞30 or microcellulor number of dropped calls＞20, if, carry out next step, otherwise, end of run.
C. detect the target that is untreated and whether satisfy TCH usage＜90%, if, be judged to be the base station fault, and end of run; Otherwise, carry out next step;
D. detect the target that is untreated and whether satisfy 3 ~ 5 grades of proportion＞50% that disturb sum＞55% and SUDLOS number of dropped calls and up matter difference number of dropped calls sum to account for all number of dropped calls,, be judged to be the interference problem fault if satisfy simultaneously, and end of run; Otherwise, carry out next step;
E. detect the whether transmission error code slip of target that is untreated, if, be judged to be transmission fault, and end of run; Otherwise, carry out next step;
F. detection is untreated, and whether the weak signal call drop accounts for all call drop proportion＞50% to target, if, be judged to be weak signal problem fault, otherwise, repeating step a.
The congestion analysis module is divided into TCH congestion analysis and SDCCH congestion analysis in real time, and wherein TCH congestion analysis algorithm is as follows:
A. detect the target that whether is untreated,, carry out next step if having; If there is not end of run.
B. detect whether satisfy voice channel congestion ratio 〉=0.05, if carry out next step; Otherwise, end of run;
C. detect TCH channel serviceability rate≤80% of TCH channel serviceability rate≤90% or 6 neighbor cell, if, be judged to be channel and move back the congested fault of clothes, and end of run; Otherwise, carry out next step;
D. detect the target that is untreated and whether satisfy every line telephone traffic 〉=0.8, if carry out next step; Otherwise, end of run;
E. detect the target that is untreated and whether satisfy times of congestion≤1000, if, be judged to be the general busy target faults of TCH, and end of run; Otherwise, be judged to be the extremely busy target faults of TCH, and end of run.
It is as follows that the SDCCH congestion analysis is analysed algorithm:
A. detect the target that whether is untreated,, carry out next step if having; If there is not end of run.
B. detect the target that is untreated and whether satisfy SDCCH congestion ratio 〉=0.05, if carry out next step; Otherwise, end of run;
C. detect the target that is untreated and whether satisfy TCH channel serviceability rate≤90% or SDCCH serviceability rate≤90%, if, be judged to be channel and move back the congested fault of clothes, and end of run; Otherwise, carry out next step;
D. detect the target that is untreated and whether satisfy SDCCH call drop 〉=30, if, be judged to be unusual call drop fault, and end of run; Otherwise, carry out next step;
Whether e. detect the target that is untreated satisfies SDCCH and overflows 〉=and 500, otherwise, end of run; If detect and whether to satisfy TF 〉=80% or whether to satisfy at random access failure/(insert at random number of success+access failure) at random 〉=10%;
F. if the target that is untreated satisfies TF 〉=80%, then be judged to be speech business signaling congestion fault, and end of run; If do not satisfy TF 〉=80%, then detect the target that is untreated and satisfy TF＞50%, if, be judged to be speech, the congested fault of data signaling, and end of run; Otherwise, then be judged to be the congested fault of data business signaling, and end of run;
G. if the target that is untreated satisfies at random access failure/(insert at random number of success+access failure) at random 〉=10%, be judged to be access failure fault at random, and end of run; Target does not satisfy at random access failure/(insert at random number of success+access failure) at random 〉=10% if be untreated, then detect whether to upgrade to cause fault for the target location of being untreated, if, be judged to be the position and upgrade the congestion problems that causes, and end of run; Otherwise, carry out next step;
Whether h. detect the target that is untreated satisfies (the up note of TCH+TCH downlink short message)/(the up note of the TCH+up note of TCH downlink short message+SDCCH+SDCCH downlink short message) 〉=10 or inserts at random by other responses (note)/(rebuilding upright+urgent call+other responses (note)+response paging+position renewal causes) 〉=30, if, be judged to be busy fault of note and end of run, otherwise, end of run.
The hardware fault processing module mainly is responsible for the base station fault, the TCH channel moves back congestion problems and the channel that clothes are congested, the position renewal causes and moves back the congested troubleshooting of clothes, and its algorithm is as follows:
Check that whether the signaling compression ratio exists fault, if do not have, notifies the staff to handle; If have, check that disconnected situation of sudden strain of a muscle and alarm inquiry are simultaneously to maintenance place bill.
The equalizing traffic volume processing module mainly is responsible for the troubleshooting of general busy target of TCH and speech business signaling congestion, and its algorithm is as follows:
A. detect the every line telephone traffic of adjacent three targets and whether be less than or equal to 0.6 with layer, if carry out next step, otherwise, end of run;
B. carry out rlnrp:cell=a, cellr=b is finished and whether detects koffsetn less than 5, if, carry out next step, otherwise, end of run;
C. carry out rlnrc:cell=a, cellr=b, koffsetn=5;
Rlnc:cell=b, cellr=a, koffsetp=5; End of run.
Interlayer hand-off process module mainly is responsible for the troubleshooting of the extremely busy target of TCH, and its algorithm is as follows:
A. carry out rllhp:cell=a; And detect layer and whether be greater than or equal to 2, if, carrying out Rllhc:cell=a, layer=4 also carries out next step; Otherwise, carry out next step;
B. detect layer and whether be greater than or equal to 4, if, carrying out Rllhc:cell=a, layer=6 also carries out next step; Otherwise, carry out next step;
C. detect layer and whether be greater than or equal to 6, if carry out Rllhc:cell=a, layer=7, end of run; Otherwise, end of run.
Reduce the incoming call processing module and mainly be responsible for the troubleshooting of weak signal problem and unusual call drop problem, its algorithm is as follows:
A. carry out rlssp:cell=a, and detect whether satisfy Accmin＞100 simultaneously, msrxmin＞100 are if carry out rlloc:cell=we862a, msrxmin=80;
Rlssc:cell=we862a, accmin=80; And carry out next step, otherwise, carry out next step.
B. detect whether satisfy Accmin＞80 simultaneously, msrxmin＞80 are if carry out
rlloc:cell＝we862a，msrxmin＝70；
Rlssc:cell=we862a, accmin=70; End of run, otherwise, end of run.
Reduce covering the troubleshooting that processing module mainly is responsible for weak signal problem and unusual call drop problem, its algorithm is as follows:
A. carry out rlcpp:cell=a, judge whether base station broadcast channel and traffic channel transmission power is big
In 43dBm, if carry out next step; Otherwise, redirect c;
B. 43dBm is revised as 37dBm;
C. whether judge base station broadcast channel and traffic channel transmission power greater than 37dBm, if carry out
Next step; Otherwise, finish;
D. 37dBm is revised as 33dBm, end of run.
Remove the slip processing module and mainly be responsible for the troubleshooting of transmission fault, its algorithm is as follows:
Whether be transmission problem, if carry out next step if a. detecting; Otherwise, end of run;
B. detect whether the problem that changes the half rate thresholding because of congested is arranged, and whether know slip before detecting half a minute, if remove transmission slip and short message alarm.
Disturb processing module mainly to be responsible for the troubleshooting of interference problem, its algorithm is as follows:
Whether a. detect is interference problem, otherwise, end of run; If carry out next step;
B. detect when whether being busy, if carry out
RLSSC:CELL=does not detect target, ACCMIN=85;
RLSBC:CELL=does not detect target, CRO=3, PT=31;
RLLHC:CELL=does not detect target, LAYER=7; Otherwise, carry out next step;
C. detect whether when busy, did interference, if, recover to be provided with end of run, otherwise, end of run.
Weak signal place module mainly is responsible for the troubleshooting of weak signal problem and unusual call drop problem, and its algorithm is as follows:
The checkout facility type is just if macrocellular transfers to maximum and keeping records with transmitting power; If microcellulor notice producer handles,
Edge data adjusting module mainly is responsible for the congested troubleshooting of data business signaling, and its algorithm is as follows:
A. detect the every channel throughput of target P DCH that is untreated and whether be greater than or equal to 20bps; If detection TBF exclusively enjoys the PDCH number and whether is less than or equal to 4, whether the TBF of every CELL is greater than or equal to 6, one time slot users is shared to count whether be greater than or equal to 4; If above-mentioned three conditions satisfy simultaneously, then increase PDCH, increasing degree is a unit, and detects the target that whether is untreated in addition, if having, repeats this step, if be not untreated target, end of run.
B. if exclusively enjoying the PDCH number, the detection TBF described in the step a whether is less than or equal to 20bps, whether the TBF of every CELL is greater than or equal to 6, whether the shared number of time slot user is greater than or equal to 4 three conditions can not be satisfied simultaneously, then detecting PDCH is distributed into power and whether is less than or equal to 90%, whether down link mistake piece is greater than or equal to 80%, CS seizes the PC activity ratio and whether is greater than or equal to 40%, if above-mentioned three conditions satisfy simultaneously, increases TRX; If above-mentioned three conditions can not satisfy simultaneously, and detect the target that whether is untreated in addition,, repeat this step, if be not untreated target, end of run if having.
Specific embodiment described herein only is that the present invention's spirit is illustrated.The technical staff of the technical field of the invention can make various modifications or replenishes or adopt similar mode to substitute described specific embodiment, but can't depart from spirit of the present invention or surmount the defined scope of appended claims.
Claims (3)
1. a network optimization real-time parameter that is used for the mobile network is optimized and revised system, it is characterized in that, comprises
Be used to customize the task customized module of the task of optimizing and revising;
The configuration module that is used for the configuration process mode;
Needs are optimized and revised the real-time index collection module that target is carried out real-time index collection;
Optimize and revise target for needs and carry out the real-time call drop analysis module that call drop is analyzed;
Optimize and revise the real-time congestion analysis module that target is carried out congestion analysis for needs;
Optimize and revise the fault treating apparatus that target is carried out troubleshooting for needs.
Described configuration module links to each other with real-time index collection module with the task customized module respectively, described real-time index collection module links to each other with real-time congestion analysis module with real-time call drop analysis module respectively, and described fault treating apparatus links to each other with real-time congestion analysis module respectively at real-time call drop analysis module.
2. the mobile network's of being used for according to claim 1 network optimization real-time parameter is optimized and revised system, it is characterized in that described fault treating apparatus comprises hardware fault processing module, equalizing traffic volume processing module, interlayer hand-off process module, reduces the incoming call processing module, reduces the covering processing module, removes the slip processing module, disturbs processing module, weak signal place module and Edge data adjusting module.
3. a network optimization real-time parameter that is used for the mobile network that is used for the described system of claim 1 is optimized and revised method, it is characterized in that, may further comprise the steps:
A. needs are optimized and revised the step that task is optimized and revised in the target customization;
B. needs are optimized and revised the step that target is used for the configuration process mode;
C. needs are optimized and revised the step that target is carried out real-time index collection;
D. needs are optimized and revised target and carry out the step that real-time call drop is analyzed;
E. needs are optimized and revised the step that target is carried out real-time congestion analysis;
F. to optimizing and revising the step that target is carried out troubleshooting through the needs of real-time call drop analysis and real-time congestion analysis.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102045204A (en) * | 2010-12-31 | 2011-05-04 | 瑞斯康达科技发展股份有限公司 | Fault treatment system and method |
| CN102932813A (en) * | 2011-08-10 | 2013-02-13 | 中国移动通信集团河南有限公司 | Method and device for adjusting cell individual offset (CIO) parameters |
| CN103188715A (en) * | 2011-12-28 | 2013-07-03 | 中国移动通信集团广东有限公司 | Automatic monitoring and scheduling method and device for radio resources |
| CN103987072A (en) * | 2014-05-16 | 2014-08-13 | 广西英伦通信技术有限公司 | Automatic repair system and method of serviceability rate of GSM channel |
| CN107135297A (en) * | 2008-10-14 | 2017-09-05 | 华为终端有限公司 | The method and mobile terminal of a kind of optimizing operation sequence of mobile terminal |
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2008
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| CN107135297A (en) * | 2008-10-14 | 2017-09-05 | 华为终端有限公司 | The method and mobile terminal of a kind of optimizing operation sequence of mobile terminal |
| CN102045204A (en) * | 2010-12-31 | 2011-05-04 | 瑞斯康达科技发展股份有限公司 | Fault treatment system and method |
| CN102045204B (en) * | 2010-12-31 | 2012-08-29 | 瑞斯康达科技发展股份有限公司 | Fault treatment system and method |
| CN102932813A (en) * | 2011-08-10 | 2013-02-13 | 中国移动通信集团河南有限公司 | Method and device for adjusting cell individual offset (CIO) parameters |
| CN102932813B (en) * | 2011-08-10 | 2015-03-11 | 中国移动通信集团河南有限公司 | Method and device for adjusting cell individual offset (CIO) parameters |
| CN103188715A (en) * | 2011-12-28 | 2013-07-03 | 中国移动通信集团广东有限公司 | Automatic monitoring and scheduling method and device for radio resources |
| CN103188715B (en) * | 2011-12-28 | 2016-04-27 | 中国移动通信集团广东有限公司 | The method of Radio Resource automatic monitoring scheduling and device |
| CN103987072A (en) * | 2014-05-16 | 2014-08-13 | 广西英伦通信技术有限公司 | Automatic repair system and method of serviceability rate of GSM channel |
| WO2021232847A1 (en) * | 2020-05-21 | 2021-11-25 | 中兴通讯股份有限公司 | Network attack detection and control method and apparatus, base station, and computer storage medium |
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