CN101616021A - Family base station network optimization method and family base station configuration server - Google Patents
Family base station network optimization method and family base station configuration server Download PDFInfo
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- CN101616021A CN101616021A CN200810127567A CN200810127567A CN101616021A CN 101616021 A CN101616021 A CN 101616021A CN 200810127567 A CN200810127567 A CN 200810127567A CN 200810127567 A CN200810127567 A CN 200810127567A CN 101616021 A CN101616021 A CN 101616021A
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Abstract
The invention discloses a kind of family base station network optimization method and family base station configuration server, this method comprises: family base station configuration server sets in advance the Service Quality Metrics statistics task and the Service Quality Metrics thresholding of Home eNodeB; Family base station configuration server receives the service quality alarm from Home eNodeB, Home eNodeB is carried out information gathering, and the information of gathering is submitted to strategic server, wherein, Home eNodeB according to the Service Quality Metrics of Service Quality Metrics statistics task statistics less than the situation of Service Quality Metrics thresholding under the reporting service quality alarm; Family base station configuration server receives the prioritization scheme from strategic server, and according to prioritization scheme Home eNodeB is optimized, and wherein, prioritization scheme is selected from the optimisation strategy storehouse that sets in advance after carrying out Analysis of Policy Making according to information by strategic server.By technique scheme, can realize the self-optimizing of Home eNodeB.
Description
Technical field
The present invention relates to the communications field, and especially, relate to a kind of family base station network optimization method and family base station configuration server.
Background technology
Along with 3G network carrying out in worldwide, operator recognizes that indoor covering in the 3G network construction is extremely crucial and important link, therefore, Home eNodeB (HomeNodeB) solution is arisen at the historic moment, it designs at the characteristics of indoor family communication, realizes with the family being the indoor covering of unit by the Home NodeB equipment that is placed in the user family.This solution is integrated into universal mobile telecommunications system (UniversalMobile Telecommunications System with home network, abbreviate UMTS as) in the network, as the third generation (3rd Generation, abbreviate 3G as) extension of network, the small-sized microcellulor of the similar simplification of each HomeNodeB, and by special-purpose 3G access channel Wideband Code Division Multiple Access (WCDMA) access (Wideband Code Division Multiple Access, abbreviate WCDMA as) various types of cellular services are provided, speech for example, Internet inserts, download Web TV etc.
Current, Home NodeB access solution generally is based on traditional home network controller (Domestic Network Controller, abbreviating DNC as) framework of network element realizes, as shown in Figure 1, Home NodeB equipment is placed on realizes with the family being the indoor covering of unit in the user family, by Digital Subscriber Line (Digital Subscriber Line, abbreviate xDSL as) access network, and being connected to DNC by the Iub interface of standard, DNC connects by Iu circuit domain/packet domain interface of standard.
The maintenance management of tradition UMTS base station, general on-the-spot investigation and the manually-operated mode of adopting, but the Home NodeB quantity in the home base station network is very huge, Regional Distribution is wide, and the ownership of base station belongs to individual or enterprise, if carry out network operation in a conventional manner, not only adoptable means are restricted, and bring higher cost.Therefore, need provide a kind of adaptive optimization method for Home NodeB network.Yet, the technical scheme that addresses the above problem is not proposed at present as yet.
Summary of the invention
Consider with traditional maintenance mode maintenance service limited, problem with high costs and make the present invention, for this reason, main purpose of the present invention is to provide a kind of family base station network optimization method and family base station configuration server, to solve the problems referred to above in the correlation technique.
According to an aspect of the present invention, provide a kind of family base station network optimization method.
Family base station network optimization method according to the embodiment of the invention comprises: family base station configuration server sets in advance the Service Quality Metrics statistics task and the Service Quality Metrics thresholding of Home eNodeB; Family base station configuration server receives the service quality alarm from Home eNodeB, Home eNodeB is carried out information gathering, and the information of gathering is submitted to strategic server, wherein, Home eNodeB according to the Service Quality Metrics of Service Quality Metrics statistics task statistics less than the situation of Service Quality Metrics thresholding under the reporting service quality alarm; Family base station configuration server receives the prioritization scheme from strategic server, and according to prioritization scheme Home eNodeB is optimized, and wherein, prioritization scheme is selected from the optimisation strategy storehouse that sets in advance after carrying out Analysis of Policy Making according to information by strategic server.
Wherein, above-mentioned information comprises one of following at least: alarm record, performance data, wireless environment parameter.
In addition, above-mentioned family base station configuration server receives after the prioritization scheme, further comprises: family base station configuration server is formulated operation plan according to prioritization scheme, and operation plan is issued to home network controller and Home eNodeB.
Wherein, Home eNodeB is optimized is specially: home network controller and Home eNodeB are optimized according to operation plan.
In addition, under closed loop mode, when one of following situation, finish optimizing process: the Service Quality Metrics of Home eNodeB becomes and is higher than the Service Quality Metrics thresholding; Home eNodeB can't be dealt with problems by self-optimizing; Manual intervention.
According to an aspect of the present invention, provide a kind of family base station configuration server, be used for Home eNodeB is carried out self-optimizing.
Comprise according to family base station configuration server of the invention process: module is set, is used to set in advance the Service Quality Metrics statistics task and the Service Quality Metrics thresholding of Home eNodeB; First receiver module is used to receive the service quality alarm from Home eNodeB, wherein, Home eNodeB according to the Service Quality Metrics of Service Quality Metrics statistics task statistics less than the situation of Service Quality Metrics thresholding under the reporting service quality alarm; Acquisition module is used for Home eNodeB is carried out information gathering, and the information of gathering is submitted to strategic server; Second receiver module is used to receive the prioritization scheme from strategic server, and wherein, prioritization scheme is selected from the optimisation strategy storehouse that sets in advance after carrying out Analysis of Policy Making according to information by strategic server; Optimal module is used for according to prioritization scheme Home eNodeB being optimized.
Wherein, the information of above-mentioned acquisition module collection can comprise one of following at least: alarm record, performance data, wireless environment parameter.
In addition, above-mentioned optimal module further comprises: formulate module, be used for according to prioritization scheme, formulate operation plan; Issue module, be used for operation plan is issued to home network controller and Home eNodeB.
In addition, above-mentioned optimal module further comprises: Executive Module is used to control home network controller and the plan of Home eNodeB operation dispatching is optimized.
In addition, above-mentioned optimal module further comprises: first finishes module, runs on open loop mode, is used for finishing when finishing the issuing of operation plan optimizing process; Second finishes module, runs on closed loop mode, is used for when one of following situation, and finish optimizing process: the Service Quality Metrics of Home eNodeB becomes and is higher than the Service Quality Metrics thresholding; Home eNodeB can't be dealt with problems by self-optimizing; Manual intervention.
By means of technique scheme, by need not under the manual intervention base station running environment to be carried out the Automatic Optimal adjustment, can fix a breakdown, recover service quality to Home eNodeB, and need not manual intervention, not restricted by room and time, solve immediately after pinpointing the problems, make home base station network be in the optimized operation state with least cost.
Other features and advantages of the present invention will be set forth in the following description, and, partly from specification, become apparent, perhaps understand by implementing the present invention.Purpose of the present invention and other advantages can realize and obtain by specifically noted structure in the specification of being write, claims and accompanying drawing.
Description of drawings
Accompanying drawing is used to provide further understanding of the present invention, and constitutes the part of specification, is used from explanation the present invention with embodiments of the invention one, is not construed as limiting the invention.In the accompanying drawings:
Fig. 1 is to be the home base station network framework schematic diagram of embodiment according to the present invention;
Fig. 2 is the flow chart according to the family base station network optimization method of the embodiment of the invention;
Fig. 3 is the flow chart according to the detailed process of the family base station network optimization method of the embodiment of the invention;
Fig. 4 is the block diagram according to the family base station configuration server of the embodiment of the invention.
Embodiment
Below in conjunction with accompanying drawing the preferred embodiments of the present invention are described, should be appreciated that preferred embodiment described herein only is used for description and interpretation the present invention, and be not used in qualification the present invention.
Fig. 1 is to be the Home NodeB network architecture schematic diagram of embodiment according to the present invention, as shown in Figure 1, comprise DNC, Home NodeB configuration server (Home NodeBConfiguration Server, abbreviate HCS as), strategic server, Home NodeB, Internet network, wherein, HCS is connected with strategic server, and Home NodeB is connected with HCS with DNC by the Internet network.Wherein, HCS and strategic server be as two independent network element entities, the major responsibility of the self-optimizing management of having born, and wherein HCS is the kernel scheduling person of whole evolutionary process, has run through affairs such as data acquisition, statistical summaries, planned dispatching, tracking mode.In addition, strategic server is the Analysis of Policy Making person of evolutionary process, is responsible for providing prioritization scheme, comprising: the optimisation strategy that management system presets; Receive the Home NodeB operation conditions report that HCS submits to; Analysis of Policy Making, choosing the best alternatives is back to HCS.
Method embodiment
According to the embodiment of the invention, a kind of Home NodeB network optimized approach is provided, Fig. 2 is according to the flow chart of the Home NodeB network optimized approach of the embodiment of the invention, as shown in Figure 2, comprises following processing:
Step S202, HCS set in advance Service Quality Metrics statistics task and the Service Quality Metrics thresholding of Home NodeB;
Step S204, HCS receives the service quality alarm from Home NodeB, Home NodeB is carried out information gathering (wherein, it is one of following that the information here comprises at least: alarm record, performance data, wireless environment parameter), and the information of gathering is submitted to strategic server, wherein, Home NodeB according to the Service Quality Metrics of Service Quality Metrics statistics task statistics less than the situation of Service Quality Metrics thresholding under the reporting service quality alarm;
Step S206, HCS receives the prioritization scheme from strategic server, and according to prioritization scheme Home NodeB is optimized, and wherein, prioritization scheme is selected from the optimisation strategy storehouse that sets in advance after carrying out Analysis of Policy Making according to information by strategic server.
After step S206, further comprise: HCS is according to prioritization scheme, formulates operation plan, and operation plan is issued to DNC and Home NodeB, and wherein, HomeNodeB is optimized is specially: DNC and Home NodeB are optimized according to operation plan.
After above-mentioned processing, under closed loop mode, when one of following situation, finish optimizing process: the Service Quality Metrics of Home NodeB becomes and is higher than the Service Quality Metrics thresholding; Home NodeB can't deal with problems by self-optimizing; Manual intervention.Under open loop mode, HCS promptly thinks the end optimizing process after issuing operation plan.
By above-mentioned processing, can realize the self-optimizing of Home NodeB.
Below, in conjunction with the accompanying drawings, technique scheme is illustrated.Fig. 3 is the flow chart according to the detailed process of the Home NodeB network optimized approach of the embodiment of the invention.Comprise following processing
1, HCS issues QoS performance index statistics task for Home NodeB;
2, Home NodeB adds up the performance index in the QoS performance index statistics task that issues;
3, Home NodeB finds to descend when index, when triggering alarming threshold;
4, Home NodeB alarms alarm report QoS to HCS;
5, HCS gathers performance index, the alarm record of Home NodeB, and information such as wireless environment parameter;
Wherein, the performance statistics index comprises at least: VPN channel performance, IP flow, RL link, received signal intensity indication (Received Signal Strength Indication abbreviates RSSI as), transmitting-receiving power, system on average reach peak load etc.; The alarm record comprises: current alarm tabulation, history alarm tabulation; The wireless environment parameter comprises: the frequency that Home NodeB is assigned with, scrambler, and detected in abutting connection with the macrocell identification list, the frequency of each macrocell, RSSI, scrambler etc.;
6, HCS is according to the data of being gathered, and statistical summaries forms the report of Home NodeB operation conditions:
7, HCS is committed to strategic server with the operation conditions report;
8, strategic server is reported according to operation conditions, carries out Analysis of Policy Making, and from the optimisation strategy of system intialization, chooses the best alternatives, and is back to HCS;
9, HCS receives prioritization scheme, formulates operation plan, at reasonable time, sends instructions to DNC and Home NodeB down;
10, DNC and Home NodeB are according to the instruction of HCS, and executive system is tackled;
11, HCS supports open loop and two kinds of self-optimizing patterns of closed loop:
(1) under the open loop mode, HCS promptly thinks and finishes this optimizing process after issuing the tuning instruction, triggers next QoS alarm up to Home NodeB.Open loop mode is applicable to the Home NodeB of the no specific (special) requirements of great majority, and this pattern execution cycle is shorter, and is less to the system loading influence;
(2) under closed loop mode, after HCS issues tuning instruction for the first time, initiatively do not finish optimizing process, in certain gap periods, can gather the operational factor of Home NodeB once more, form the operation conditions report and be committed to strategic server, to obtain new prioritization scheme, formulate operation plan, and issue DNC and Home NodeB enforcement, after DNC and Home NodeB receive operation plan, carry out system's reply.Only in following two conditions, just can finish whole optimizing process under a satisfied prerequisite:
(1) strategic server judges that Home NodeB operation conditions is up to standard;
(2) strategic server judges that working as prior fault can't solve by the self-optimizing mode, needs the HCS upgrading to alarm webmaster, perhaps manual intervention to the higher level;
Closed loop mode is an iterative process, and the execution cycle is longer, and is heavier to the system loading influence, generally is applicable to minority VIP user, enterprise customer or high-priority users, but its optimization result is better than open loop mode.
Device embodiment
According to the embodiment of the invention, a kind of HCS is provided, be used for Home NodeB is carried out self-optimizing.Fig. 4 is the block diagram according to the HCS of the embodiment of the invention, as shown in Figure 4, comprises module 40, first receiver module 42, acquisition module 44, second receiver module 46, optimal module 48 are set, below, above-mentioned module is elaborated:
Module 40 is set, is used to set in advance Service Quality Metrics statistics task and the Service Quality Metrics thresholding of Home NodeB;
First receiver module 42 is used to receive the service quality alarm from Home NodeB, wherein, Home NodeB according to the Service Quality Metrics of Service Quality Metrics statistics task statistics less than the situation of Service Quality Metrics thresholding under the reporting service quality alarm.
Acquisition module 44 is used for Home NodeB is carried out information gathering, and the information of gathering is submitted to strategic server, and wherein, it is one of following that the information of acquisition module collection can comprise at least: alarm record, performance data, wireless environment parameter.
Second receiver module 46 is used to receive the prioritization scheme from strategic server, and wherein, prioritization scheme is selected from the optimisation strategy storehouse that sets in advance after carrying out Analysis of Policy Making according to information by strategic server.
Optimal module 48 is used for according to prioritization scheme Home NodeB being optimized.
In addition, above-mentioned optimal module 48 further comprises:
Formulate module, be used for, formulate operation plan according to prioritization scheme;
Issue module, be used to receive the operation plan of formulating module and be issued to DNC and HomeNodeB.
Executive Module is used to control DNC and Home NodeB and carries out and issue the operation plan that module issues and be optimized.
First finishes module, runs on open loop mode, is used for finishing optimizing process when finishing issuing of operation plan issuing module;
Second finishes module, runs on closed loop mode, is used for when one of following situation, and finish optimizing process: the Service Quality Metrics of Home NodeB becomes and is higher than the Service Quality Metrics thresholding; Home NodeB can't deal with problems by self-optimizing; Manual intervention.
In sum, by means of the bright technical scheme of this law, by when family's base station services quality descends or breaks down, system carries out adaptive optimization in the mode of zero contact to base station running environment, realized need not manual intervention, not restricted by room and time, promptly pinpointing the problems promptly solves, and makes home base station network be in the optimized operation state with least cost.
The above is the preferred embodiments of the present invention only, is not limited to the present invention, and for a person skilled in the art, the present invention can have various changes and variation.Within the spirit and principles in the present invention all, any modification of being done, be equal to replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (10)
1. a family base station network optimization method is characterized in that, comprising:
Family base station configuration server sets in advance the Service Quality Metrics statistics task and the Service Quality Metrics thresholding of Home eNodeB;
Described family base station configuration server receives the service quality alarm from Home eNodeB, described Home eNodeB is carried out information gathering, and the information of gathering is submitted to strategic server, wherein, described Home eNodeB reports described service quality alarm under the situation of Service Quality Metrics less than described Service Quality Metrics thresholding according to described Service Quality Metrics statistics task statistics;
Described family base station configuration server receives the prioritization scheme from described strategic server, and described Home eNodeB is optimized according to described prioritization scheme, wherein, described prioritization scheme is selected from the optimisation strategy storehouse that sets in advance after carrying out Analysis of Policy Making according to described information by described strategic server.
2. method according to claim 1 is characterized in that, it is one of following that described information comprises at least: alarm record, performance data, wireless environment parameter.
3. method according to claim 1 is characterized in that, described family base station configuration server receives after the described prioritization scheme, further comprises:
Described family base station configuration server is formulated operation plan according to described prioritization scheme, and described operation plan is issued to home network controller and described Home eNodeB.
4. method according to claim 3 is characterized in that, described Home eNodeB is optimized be specially:
Described home network controller and described Home eNodeB are optimized according to described operation plan.
5. method according to claim 4 is characterized in that,
Under closed loop mode, when one of following situation, finish optimizing process: the described Service Quality Metrics of described Home eNodeB becomes and is higher than described Service Quality Metrics thresholding; Described Home eNodeB can't be dealt with problems by self-optimizing; Manual intervention.
6. a family base station configuration server is used for Home eNodeB is carried out self-optimizing, it is characterized in that described family base station configuration server comprises:
Module is set, is used to set in advance the Service Quality Metrics statistics task and the Service Quality Metrics thresholding of Home eNodeB;
First receiver module, be used to receive service quality alarm from Home eNodeB, wherein, described Home eNodeB reports described service quality alarm under the situation of Service Quality Metrics less than described Service Quality Metrics thresholding according to described Service Quality Metrics statistics task statistics;
Acquisition module is used for described Home eNodeB is carried out information gathering, and the information of gathering is submitted to strategic server;
Second receiver module is used to receive the prioritization scheme from described strategic server, and wherein, described prioritization scheme is selected from the optimisation strategy storehouse that sets in advance after carrying out Analysis of Policy Making according to described information by described strategic server;
Optimal module is used for according to described prioritization scheme described Home eNodeB being optimized.
7. family base station configuration server according to claim 6 is characterized in that, it is one of following that the described information of described acquisition module collection comprises at least: alarm record, performance data, wireless environment parameter.
8. family base station configuration server according to claim 6 is characterized in that, described optimal module further comprises:
Formulate module, be used for, formulate operation plan according to described prioritization scheme;
Issue module, be used for described operation plan is issued to home network controller and described Home eNodeB.
9. family base station configuration server according to claim 6 is characterized in that, described optimal module further comprises:
Executive Module is used to control described home network controller and described Home eNodeB and carries out described operation plan and be optimized.
10. family base station configuration server according to claim 6 is characterized in that, described optimal module further comprises:
First finishes module, runs on open loop mode, is used for finishing when finishing the issuing of described operation plan optimizing process;
Second finishes module, runs on closed loop mode, is used for when one of following situation, and finish optimizing process: the described Service Quality Metrics of described Home eNodeB becomes and is higher than described Service Quality Metrics thresholding; Described Home eNodeB can't be dealt with problems by self-optimizing; Manual intervention.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101895464B (en) * | 2010-05-14 | 2012-11-21 | 华为终端有限公司 | Method, device and system for guaranteeing service quality of combined P2P network |
| CN103139811A (en) * | 2013-02-05 | 2013-06-05 | 中兴通讯股份有限公司 | Adjustment method and system of engineering parameter |
| CN109151867A (en) * | 2017-06-15 | 2019-01-04 | 中兴通讯股份有限公司 | A kind of alert analysis method, apparatus and base station |
-
2008
- 2008-06-27 CN CN200810127567XA patent/CN101616021B/en not_active Expired - Fee Related
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101895464B (en) * | 2010-05-14 | 2012-11-21 | 华为终端有限公司 | Method, device and system for guaranteeing service quality of combined P2P network |
| CN103139811A (en) * | 2013-02-05 | 2013-06-05 | 中兴通讯股份有限公司 | Adjustment method and system of engineering parameter |
| WO2014121617A1 (en) * | 2013-02-05 | 2014-08-14 | 中兴通讯股份有限公司 | Engineering parameter adjustment method and system |
| CN109151867A (en) * | 2017-06-15 | 2019-01-04 | 中兴通讯股份有限公司 | A kind of alert analysis method, apparatus and base station |
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| Publication number | Publication date |
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| CN101616021B (en) | 2012-01-11 |
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