CN102647737B - Method and system for self optimization of wireless parameters - Google Patents
Method and system for self optimization of wireless parameters Download PDFInfo
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- CN102647737B CN102647737B CN201110040583.7A CN201110040583A CN102647737B CN 102647737 B CN102647737 B CN 102647737B CN 201110040583 A CN201110040583 A CN 201110040583A CN 102647737 B CN102647737 B CN 102647737B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/02—Arrangements for optimising operational condition
Abstract
The invention discloses a method and system for self optimization of wireless parameters. The method comprises the following steps: a first base station determines the wireless parameters which need to be optimized in a first cell managed by the first base station and needing wireless parameter self optimization; the first base station selects a corresponding optimization strategy according to the wireless parameters and informs the OAM of carrying out evaluation; or, the first base station informs the OAM (operation, administration and maintenance) of selecting and evaluating the corresponding optimization strategy according to the wireless parameters; and the wireless parameters are optimized according to the optimization strategy after the optimization strategy passes the evaluation. The method and the system disclosed by the invention have the advantages that the optimization of different wireless parameters can be flexibly realized, the calculated amount of the current node is effectively reduced, and simultaneously, the reliability of parameter optimization also can be obviously increased.
Description
Technical field
The present invention relates to wireless communication field, refer to a kind of method and system of wireless parameter self-optimizing especially.
Background technology
In Long Term Evolution (LTE, Long Term Evolution) system, network parameter huge number, correlation is strong, has higher complexity.In addition system requirements newly adds the configuration of base station and the minimum manpower intervention of managerial demand, and these all propose new requirement to the operation and maintenance of network.
In order to solve the problem, self-configuring self-optimizing network (SON, Self-configuring andself-optimizing network) is suggested and is considered to reduce costs the most effective means with Operating Complexity.SON functional requirement is accomplished self-configuring, self-optimizing, is certainly cured.Self-configuring process, namely newly deployed node independently knows necessary fundamental system operative configuration by " autoinstall procedure ", thus realizes configuration automatically; Self-optimizing process, the result namely utilizing subscriber equipment (UE, User Equipment) to measure adjusts automatically to network; From healing process, namely automatically detect and locate most of problematic place, and by solving problem from healing mechanism.
SON can reduce costs and Operating Complexity to a great extent, therefore third generation partner program (3GPP, 3rd Generation Partnership Project) tissue is devoted to SON to be incorporated in LTE standard always, and more and more comes into one's own.Current 3GPP by the self-configuring in SON and detailed the resolving into multiple function and be described in detail each function of self-optimizing, indicates the target that will realize.
The self-optimizing process of SON generally includes two parts, and one is the identification of network failure, and another is the optimization of network failure.Identification for fault generally just can identify fault based on information mutual between UE measurement result or base station, and the optimizational function of network failure is for several functions of self-optimizing needs realization in SON, as mobile robustness optimization (MRO, Mobility Robustness Optimization), mobility load balance (MLB, Mobility Load Balancing), Inter-Cell Interference Coordination (ICIC, Inter-cellInterference Coordination) etc., in the process optimized, all can relate to the amendment of community wireless parameter.In numerous wireless parameters, only can have influence on the wireless performance of this community to the revision of a part of parameter, and the wireless performance of this community and relevant adjacent area can be had influence on the revision of a part of parameter.Different according to the influence surface of parameter, the optimization method of differentiation also should be taked to the strategy of wireless parameter optimization.
At present, strategy for parameter self-optimizing normally selects one in the method for distributed wireless parameter self-optimizing and the method for centralized wireless parameter self-optimizing, be illustrated in figure 1 centralized parameter optimization schematic diagram, Figure 2 shows that distributed parameters optimizes schematic diagram.
In distributed wireless parameter self-organization method, the result needing parameter and the parameter optimization optimized is determined by base station, such optimization method can carry out the optimization of community wireless parameter on the one hand fast, method so but then needs the standard interface depended between base station, and the parameter only having interface message enough fully could realize affecting multiple community with adjacent base station with regard to those is held consultation.But no matter interface message how abundant, for a base station, all the time can not understand the information of other base station in whole region or network, the optimization for parameter is often too unilateral, finally causes the wireless performance basic to this community not to be guaranteed.
Centralized wireless parameter optimization method can effectively overcome distributed deficiency, comprehensively can consider and need the parameter optimized on the impact of overall performance of network, but in existing network, the Numerous of community, if all the work of optimizing cells all concentrates on operation management maintain (OAM, OperationAdministration and Maintenance) node processing, so this node concentrated can bear very large load pressure, and this node also becomes the hidden danger of security of system simultaneously.
Summary of the invention
In view of this, main purpose of the present invention is to provide a kind of wireless parameter self-organization method and system, to solve the unreliability of the pure parameter optimization using centralized wireless parameter optimization method or distributed wireless parameter optimization method to bring.
For achieving the above object, technical scheme of the present invention is achieved in that
The invention provides a kind of method of wireless parameter self-optimizing, the method comprises:
The wireless parameter needing to carry out to need in the first community of wireless parameter self-optimizing to optimize of self administering is determined in first base station;
Corresponding optimisation strategy is selected according to described wireless parameter in first base station, and informs OAM and assess; Or the first base station notice OAM selects corresponding optimisation strategy according to described wireless parameter and assesses;
Described assessment by after according to optimisation strategy, described wireless parameter is optimized.
Wherein, corresponding optimisation strategy is selected according to described wireless parameter in the first base station, and informs OAM and assess, and comprising:
After the wireless parameter needing in described first community self administered to optimize is determined in described first base station, when first base station judges that described wireless parameter only has an impact to described first community, or, first base station judges that described wireless parameter is except having an impact to described first community, also the second community is had an impact, and the first base station is when can obtain the essential information of described second community, corresponding optimisation strategy is selected according to described wireless parameter in first base station, and by optimisation strategy, wireless parameter configuration before and after optimisation strategy application and community wireless scene report OAM and assess.
Described assessment, by being optimized described wireless parameter according to described optimisation strategy, comprising:
When described wireless parameter only has an impact to described first community, assess by rear, OAM notifies that described first base station is optimized according to the first base station selected described wireless parameter of optimisation strategy to described first community;
Described wireless parameter is except having an impact to described first community, also the second community is had an impact, and the first base station is when can obtain the essential information of described second community, assessment is by rear, OAM notifies described first base station, the second base station belonging to the first base station and the second community, according to the first base station selected optimisation strategy, is optimized the described wireless parameter of described first community and described second community separately.
First base station notice OAM selects corresponding optimisation strategy according to described wireless parameter, and assesses, and comprising:
First base station judges that described wireless parameter is except having an impact to described first community, also the second community is had an impact, and the first base station is when can not obtain the essential information of described second community, the described first base station described wireless parameter of notice OAM to described first community and described second community is optimized, described OAM selects corresponding optimisation strategy according to described wireless parameter, and assesses according to the wireless parameter configuration before and after optimisation strategy, optimisation strategy application and community wireless scene.
Described assessment, by being optimized described wireless parameter according to described optimisation strategy, comprising:
Described wireless parameter is except having an impact to described first community, also the second community is had an impact, and the first base station is when can not obtain the essential information of described second community, assessment is by rear, and OAM notifies that the optimisation strategy that described first base station and the second base station belonging to described second community are selected according to OAM is optimized the described wireless parameter of described first community and described second community separately.
Describedly assess optimisation strategy, comprising: assess the impact of described optimisation strategy on network performance, when assessment result meets the network planning index of formulation, assessment is passed through; Otherwise assessment is not passed through.
Present invention also offers a kind of system of wireless parameter self-optimizing, this system comprises: Optimal Decision-making module, optimized evaluation module and optimisation strategy storehouse, wherein:
Described optimisation strategy storehouse, for Memory optimization strategy;
Be positioned at the described Optimal Decision-making module of the first base station, for determining the wireless parameter needing to carry out to need in the first community of wireless parameter self-optimizing to optimize that the first base station is administered; Also for selecting corresponding optimisation strategy according to described wireless parameter from described optimisation strategy storehouse, and report OAM; Or notice OAM selects corresponding optimisation strategy according to described wireless parameter;
Be positioned at the described Optimal Decision-making module of OAM, for receive the first base station the notice of described Optimal Decision-making module after, from described optimisation strategy storehouse, select corresponding optimisation strategy according to described wireless parameter;
Be positioned at the described optimized evaluation module of OAM, assess for the optimisation strategy reported the described Optimal Decision-making module of the first base station; Also for assessing the optimisation strategy of the described Optimal Decision-making model choice of self;
Described Optimal Decision-making module, also for assessing by being optimized described wireless parameter according to optimisation strategy.
Wherein, be positioned at the described Optimal Decision-making module of the first base station, also for after determining the wireless parameter needing in described first community that the first base station is administered to optimize, when judging that described wireless parameter only has an impact to described first community, or, judge that described wireless parameter is except having an impact to described first community, also the second community is had an impact, and when determining that the first base station can obtain the essential information of described second community, from described optimisation strategy storehouse, select corresponding optimisation strategy according to described wireless parameter; Also for the wireless parameter configuration before and after optimisation strategy, optimisation strategy application and community wireless scene are reported the described optimized evaluation module being positioned at OAM.
Be positioned at the described optimized evaluation module of OAM, also for when described wireless parameter only has an impact to described first community, and assessment is by rear, the Optimal Decision-making module that notice is positioned at described first base station is optimized according to the described wireless parameter of optimisation strategy to described first community;
Be positioned at the described optimized evaluation module of OAM, also at described wireless parameter except having an impact to described first community, also the second community is had an impact, and the first base station is when can obtain the essential information of described second community, and assessment is by rear, notify described first base station, by being positioned at the described Optimal Decision-making module of the first base station and being positioned at the described Optimal Decision-making module of the second base station belonging to the second community according to optimisation strategy, separately the described wireless parameter of described first community and described second community is optimized.
Be positioned at the described Optimal Decision-making module of the first base station, also for judging that described wireless parameter is except having an impact to described first community, also the second community is had an impact, and when determining that the first base station can not obtain the essential information of described second community, the described wireless parameter of notice OAM to described first community and described second community is optimized;
Correspondingly, be positioned at the described Optimal Decision-making module of OAM, also for selecting corresponding optimisation strategy according to described wireless parameter from described optimisation strategy storehouse, and the wireless parameter configuration before and after the optimisation strategy of selection, optimisation strategy application and community wireless scene are inputed to the described optimized evaluation module being positioned at OAM.
Be positioned at the described optimized evaluation module of OAM, also at described wireless parameter except having an impact to described first community, also the second community is had an impact, and the first base station is when can not obtain the essential information of described second community, and assessment is by rear, the described Optimal Decision-making module that notice is positioned at the first base station is optimized the described wireless parameter of described first community and described second community according to optimisation strategy separately with the described Optimal Decision-making module being positioned at the second base station belonging to the second community.
Being positioned at the described optimized evaluation module of OAM, also for when assessing described optimisation strategy, assessing the impact of described optimisation strategy on network performance, when assessment result meets the network planning index of formulation, assessment is passed through; Otherwise assessment is not passed through.
A kind of wireless parameter self-organization method of the present invention and system, in the framework of existing protocol standard, the amount of information that can obtain according to base station carrys out whether decision-making is carried out wireless parameter optimization by self, when determining to be optimized by self, optimisation strategy is informed to SON centralized control node, i.e. OAM and carry out assessment checking, after assessment is verified, the wireless parameter of one or more community just can be revised in base station according to optimisation strategy; If decision-making can not be carried out in base station, so just essential information is reported to OAM, the subsequent step such as decision-making, assessment checking is optimized by OAM, overcome and purely use unreliability that is centralized or the distributed parameter optimization brought, improve efficiency and the reliability of system wireless parameter optimization, and the optimization of different radio parameter can be tackled flexibly; Base station and OAM share process can effectively reduce while the amount of calculation of a node to parameter optimizations, can also the significant reliability improving parameter optimization.
Accompanying drawing explanation
Fig. 1 is centralized parameter optimization schematic diagram;
Fig. 2 is that distributed parameters optimizes schematic diagram;
Fig. 3 is the system configuration schematic diagram of mixed mode wireless parameter of the present invention self-optimizing;
Fig. 4 is the schematic flow sheet of wireless parameter self-optimizing of the present invention;
Fig. 5 is the application scenarios schematic diagram of wireless parameter self-optimizing of the present invention.
Embodiment
In order to the defect of the method for the method and centralized wireless parameter self-optimizing that solve the self-optimizing of existing distributed wireless parameter, the present invention proposes a kind of wireless parameter self-organization method of mixed mode, basic thought is: in the framework of existing protocol standard, the amount of information that can obtain according to base station carrys out whether decision-making is carried out wireless parameter optimization by self, when determining to be optimized by self, optimisation strategy is informed to SON centralized control node, namely OAM carries out assessment checking, after assessment is verified, the wireless parameter of one or more community just can be revised in base station according to optimisation strategy, if decision-making can not be carried out in base station, so just essential information is reported to OAM, is optimized the subsequent step such as decision-making, assessment checking by OAM.
Be illustrated in figure 3 the system configuration schematic diagram of the mixed mode wireless parameter self-optimizing that the present invention proposes, this system comprises: Optimal Decision-making module, optimized evaluation module and optimisation strategy storehouse, wherein:
Optimisation strategy storehouse, for Memory optimization strategy, contain the multiple optimisation strategy of wireless parameter, comprise handoff parameter adjustable strategies, power parameter adjustable strategies and community and select reselecting parameters adjustable strategies etc., and can constantly carry out the optimisation strategy in optimisation strategy storehouse supplementary and perfect in application process.Optimisation strategy storehouse can be disposed separately, and meanwhile, all can there be backup in optimisation strategy storehouse at the proxy server of OAM, OAM and base station side, once after optimisation strategy storehouse upgrades, it backs up everywhere and all can upgrade in time, as shown by the dotted line in fig. 3.
Optimal Decision-making module is mainly used for the selection of optimisation strategy, and its proxy server at OAM, OAM and base station side all can be disposed, concrete:
Be positioned at the Optimal Decision-making module of the first base station, for determining the wireless parameter needing to carry out to need in the first community of wireless parameter self-optimizing to optimize that the first base station is administered; Also for selecting corresponding optimisation strategy according to wireless parameter from optimisation strategy storehouse (preferably, optimisation strategy storehouse herein refers to the backup in optimisation strategy storehouse in the first base station), and report OAM; Or notice OAM selects corresponding optimisation strategy according to wireless parameter;
Be positioned at the Optimal Decision-making module of OAM, for receive the first base station the notice of Optimal Decision-making module after, from optimisation strategy storehouse (preferably, optimisation strategy storehouse herein refers to the backup in optimisation strategy storehouse in OAM), corresponding optimisation strategy is selected according to wireless parameter;
In addition, OAM equipment also deploys optimized evaluation module, whether this module assesses optimisation strategy effectively with correct by simulation means.The input of optimized evaluation module comprises: the wireless parameter configuration before and after the application of optimisation strategy, optimisation strategy and community wireless scene etc.
Be positioned at the optimized evaluation module of OAM, assess for the optimisation strategy reported the Optimal Decision-making module of the first base station; Also for assessing the optimisation strategy of the Optimal Decision-making model choice of self; When assessing optimisation strategy, assessment optimisation strategy is on the impact of network performance, and when assessment result meets the network planning index of formulation, assessment is passed through; Otherwise assessment is not passed through.
Optimal Decision-making module, also for assessing by being optimized wireless parameter according to optimisation strategy.
Wherein, be positioned at the Optimal Decision-making module of the first base station, also for after determining the wireless parameter needing in the first community that the first base station is administered to optimize, when judging that wireless parameter only has an impact to the first community, or, judge that wireless parameter is except having an impact to the first community, also has an impact to the second community, and when determining that the first base station can obtain the essential information of the second community, from optimisation strategy storehouse, select corresponding optimisation strategy according to wireless parameter; Also for the wireless parameter configuration before and after optimisation strategy, optimisation strategy application and community wireless scene are reported the described optimized evaluation module being positioned at OAM.
Correspondingly, be positioned at the optimized evaluation module of OAM, also for when wireless parameter only has an impact to the first community, and assessment is by rear, and the Optimal Decision-making module that notice is positioned at the first base station is optimized according to the wireless parameter of optimisation strategy to the first community; Also at wireless parameter except having an impact to the first community, also the second community is had an impact, and the first base station is when can obtain the essential information of the second community, and assessment is by rear, notify the first base station, by being positioned at the Optimal Decision-making module of the first base station and being positioned at the Optimal Decision-making module of the second base station belonging to the second community according to optimisation strategy, separately the wireless parameter of the first community and the second community is optimized.
Be positioned at the Optimal Decision-making module of the first base station, also for judging that wireless parameter is except having an impact to the first community, also the second community is had an impact, and when determining that the first base station can not obtain the essential information of the second community, the wireless parameter of notice OAM to the first community and the second community is optimized;
Correspondingly, be positioned at the Optimal Decision-making module of OAM, also for selecting corresponding optimisation strategy according to wireless parameter from optimisation strategy storehouse, and the wireless parameter configuration before and after the optimisation strategy of selection, optimisation strategy application and community wireless scene are inputed to the described optimized evaluation module being positioned at OAM.
Correspondingly, be positioned at the optimized evaluation module of OAM, also at wireless parameter except having an impact to the first community, also the second community is had an impact, and the first base station is when can not obtain the essential information of the second community, and assessment is by rear, the Optimal Decision-making module that notice is positioned at the first base station is optimized the wireless parameter of the first community and the second community according to optimisation strategy separately with the Optimal Decision-making module being positioned at the second base station belonging to the second community.
Based on the mixed mode schematic diagram of the wireless parameter self-optimizing shown in Fig. 3, the wireless parameter self-optimizing flow process of mixed mode of the present invention as shown in Figure 4, comprising:
Step 401, determines the community needing to carry out wireless parameter self-optimizing.
The phenomenon of base station according to community fault and the information of terminal to report, determine the community needing to carry out wireless parameter self-optimizing, for the ease of subsequent descriptions, it is called the first community.
Step 402, the base station (being referred to as the first base station for the ease of subsequent descriptions) belonging to the first community determines that the first community needs the wireless parameter optimized.
First base station can according to the fault of analysis of strategies first community in optimisation strategy storehouse, determine that the first community needs the wireless parameter optimized, according to the difference of fault, wireless parameter is as the power configuration parameter, cell merge thresholding, community selection dedicated priority etc. of community up-downgoing.
Step 403, the first base station judges whether the wireless parameter needing to optimize only has an impact to the first community, if so, performs step 408; Otherwise, perform step 404;
Step 404, if need the change of the wireless parameter optimized not only to have an impact to the first community, so the first base station needs to determine that other communities that this wireless parameter has influence on (are referred to as the second community for the ease of subsequent descriptions, second community may have multiple), then perform step 405;
Step 405, judges whether the first base station can get the essential information of the second community, if so, performs step 406; If not, step 408 is performed;
Step 406, if the change that the change of wireless parameter only can affect the first community or wireless parameter has also had influence on the second community and the first base station can obtain the essential information of the second community, so the Optimal Decision-making module of the first base station selects the corresponding optimisation strategy of this wireless parameter from optimisation strategy storehouse, then performs step 407.
Step 407, the wireless parameter configuration before and after the optimisation strategy of selection, optimisation strategy application and community wireless scene are reported the optimized evaluation module of OAM by the first base station, then perform step 410.
Step 408, if the first base station cannot get the essential information of the second community, so the first base station wireless parameter of notice OAM to the first community and the second community is optimized, and then performs step 409;
Step 409, OAM selects the corresponding optimisation strategy of this wireless parameter from optimisation strategy storehouse, and the wireless parameter configuration before and after optimisation strategy, optimisation strategy application and community wireless scene are inputted the optimized evaluation module of self, then performs step 410.
Step 410, this optimisation strategy of optimized evaluation module estimation of OAM, on the impact of network performance, then performs step 411.
Step 411, judges whether assessment is passed through, if passed through, performs step 412; Otherwise, perform step 413;
Optimized evaluation module estimation optimisation strategy is on the impact of network performance, (concrete network planning index is formulated if had a negative impact, when assessment result does not meet network planning index, there is cavity in the covering of such as community, edge throughput does not reach network planning demand etc., namely thinks to create negative effect to network performance) so assess and do not pass through; Otherwise assessment is passed through.
Step 412, assess by time, the change for wireless parameter only can affect the situation of the first community, and OAM notifies that the first base station is optimized according to selected optimisation strategy this wireless parameter to the first community;
Change for wireless parameter has also had influence on the second community and the first base station can obtain the situation of the essential information of the second community, OAM notifies the first base station, and the base station (being referred to as the second base station) belonging to the first base station and the second community is optimized this wireless parameter of the first community and the second community separately;
For the variable effect of wireless parameter to the second community and the first base station can not obtain the situation of the essential information of the second community, OAM notifies that the first base station and the second base station are optimized the wireless parameter of the first community and the second community separately according to selected optimisation strategy;
Step 409, it is obstructed out-of-date to assess, and OAM notifies that the first base station optimisation strategy is selected unsuccessfully, does not carry out the optimization of wireless parameter.
Below by specific embodiment, technique scheme of the present invention is described.
Embodiment one
In wireless networking scene as shown in Figure 5, suppose that this wireless system is LTE system, have 3 communities under each base station, in figure, 4 base stations belong to same OAM and control, and the annexation between base station as shown in Figure 5.The community 2 that base station 1 controls finds to give interference instruction (showing that community 11,2 pairs, community has caused very high interference) in the LOAD INFORMATION message that community 11 sends over, and now the optimizing process of community 2 wireless parameter is as follows:
1, base station 1 to be issued in the LOAD INFORMATION message of community 2 high interference instruction and is determined that the interference of 2 pairs of communities 11, community is too high according to community 11;
2, base station 1 is learnt that the transmitting power of community 2 reference signal is at present too high result in the interference of adjacent area excessive by being analyzed, and needs the transmitting power reducing community 2 reference signal, thus reduces the interference to adjacent area;
3, base station 1 is determined to need to be optimized a wireless parameter of community 2, i.e. reference signal down transmitting power according to the optimisation strategy for high interference in optimisation strategy storehouse, and the coverage of this wireless parameter is assessed in base station 1 simultaneously;
4, base station 1 finds that the change of this wireless parameter only can affect community 2, the descending power parameter of other communities can not be affected, so the corresponding optimisation strategy of high interference fault (as reduced reference signal down transmitting power 2dB) is selected in base station 1 from optimisation strategy storehouse, and the wireless parameter configuration before and after this optimisation strategy, optimisation strategy application and community wireless scene is notified the optimized evaluation module of OAM;
Whether 5, optimized evaluation module is according to the essential information during network planning, assess and can have a negative impact to network planning index to the revision of the reference signal down transmitting power of community 2 according to selected optimisation strategy, as MPS process, and edge throughput etc.;
6, optimized evaluation module thinks that revised reference signal down transmitting power can not cause negative effect to the network planning, then allow to revise (Reference Signal down transmitting power reduces 2dB) according to selected optimisation strategy the reference signal down transmitting power of community 2, and this result feedback to base station 1;
7, the reference signal down transmitting power of community 2 is revised in base station 1.
Embodiment two
In wireless networking scene as shown in Figure 5, suppose that this wireless system is a LTE system, community 1 load that base station 1 controls is too high, load balancing is carried out in the community of needs and surrounding, its adjacent area includes community 4, community 5, community 7 and community 12, and now the optimizing process of community 1 wireless parameter is as follows:
1, the neighboring BS relationship of community 1 is determined in base station 1, and obtains the Radio Resource information on load of community 4, community 5, community 7 and community 12 by the RESOURCE STATUSUPDATE message on X2 mouth;
2, based on the information on load of these adjacent areas, the load that base station 1 can calculate community 7 by the utilization rate of cell radio resource is minimum, and therefore community 7 is load down communities of community 1;
3, the strategy solving problem of load balancing is found in base station 1 from optimisation strategy storehouse, finding that current network switches is based on A5 event, and therefore according to the analysis of strategies solving problem of load balancing, base station 1 thinks that such scene just can solve the too high problem of community 1 load by the cell-specific skew between revision community 1 and community 7;
4, base station 1 determines needs the wireless parameter of the community 1 optimized to be cell-specific skew, assesses the coverage of this wireless parameter simultaneously;
5, base station 1 finds that the change of this this wireless parameter can affect community 7, although community 7 does not belong to base station 1, but base station 1 interface passed through between base station 3 can get the essential information of community 7 and the revision for this wireless parameter can be held consultation by the MOBILITYCHANGE REQUEST related procedure on X2 mouth between base station 1 and base station 3, so base station 1 determines the optimization offset by the cell-specific of oneself carrying out community 1;
6, the base station 1 corresponding optimisation strategy of selecting cell-specific to offset in optimisation strategy storehouse, and the optimized evaluation module wireless parameter configuration before and after this optimisation strategy, optimisation strategy application and community wireless scene being notified OAM;
7, optimized evaluation module is according to the essential information during network planning, and whether whether the revision of assessment cell-specific skew can cause the cavity of switching and handover failure rate can be made to exceed network planning index etc.;
8, optimized evaluation module thinks that the skew of revised cell-specific can not have influence on the covering of handover failure rate and network, therefore allows optimization community 1 and community 7 being carried out respectively to cell-specific skew, and this result feedback to base station 1;
9, base station 1 by and base station 3 consult, respectively according to the cell-specific skew of optimisation strategy revision community 1 and community 7.
Embodiment three
In wireless networking scene as shown in Figure 5, suppose that this wireless system is a LTE system, the community 11 that base station 4 controls there occurs the excessively late fault of switching, and its adjacent area includes community 3, community 6 and community 9, and now community 11 wireless parameter optimizing process is as follows:
1, base station 4 is by the RRC CONNECTION RE-ESTABLISHMENT message of RLF INDICATION, HANDOVER REPORT message and the terminal to report on X2 mouth, determine that community 11 there occurs the excessively late fault of switching, base station 4 is learnt based on the analysis of strategies in optimisation strategy storehouse needs the high speed zoom factor to community 11 to be optimized, and determines that the adjustment of this wireless parameter can have influence on community, adjacent area 3 and the community 6 of community 11; But there is open standard interface to connect (namely base station 4 can only get the essential information of community 3, and can not get the essential information of community 6) between 4, base station and base station 1;
2, the essential information of community 6 can not be obtained because base station 4 can not obtain community 3, therefore late fault is crossed in the switching that the optimization that wireless parameter (high speed zoom factor) is determined oneself can not complete in base station 4 solves community 11, so send to OAM together with the failure problems of community 11, the obtainable information relevant with community 11 of all base stations 4 such as measurement reporting information institute of fault cells ID and UE that obtained by RRC CONNECTIONRE-ESTABLISHMENT message, notify that the wireless parameter of OAM to community 11 is optimized;
3, OAM is after the information receiving base station 4 transmission, find that this fault needs to be gone to solve by OAM, therefore OAM is by the information Macro or mass analysis of each adjacent area of community 11, and the optimisation strategy (supposing that the high speed zoom factor in Shi Jiang community 11 adjusts to 0.25) that late fault type is consistent is crossed in the switching of selection and community 11 from optimisation strategy storehouse, and the wireless parameter configuration before and after this optimisation strategy, optimisation strategy application and community wireless scene are input to optimized evaluation module;
4, optimized evaluation module is according to the essential information during network planning, and whether the adjustment of assessment high speed zoom factor can cause the handover success rate of other UE in network to reduce;
5, evaluation module thinks that revised parameter can not affect the handover success rate of normal UE in community, therefore allow community 11 and community, adjacent area 3 thereof, community 6 optimizes respective high speed zoom factor, and this result feedback is controlled base station, i.e. base station 1, base station 2 and base station 4 to each;
6, high speed zoom factor is revised separately according to optimisation strategy in base station 1, base station 2 and base station 4.
The above, be only preferred embodiment of the present invention, be not intended to limit protection scope of the present invention.
Claims (12)
1. a method for wireless parameter self-optimizing, is characterized in that, the method comprises:
The wireless parameter needing to carry out to need in the first community of wireless parameter self-optimizing to optimize of self administering is determined in first base station;
Corresponding optimisation strategy is selected according to described wireless parameter in first base station, and inform operation management maintain OAM and assess, comprise: after the wireless parameter needing in described first community self administered to optimize is determined in described first base station, when first base station judges that described wireless parameter only has an impact to described first community, corresponding optimisation strategy is selected according to the wireless parameter of described first community in the first base station; Or, first base station judges that described wireless parameter is except having an impact to described first community, also the second community is had an impact, and the first base station is when can obtain the essential information of described second community, the essential information of described second community is: the wireless parameter of the second community, and corresponding optimisation strategy is selected according to the wireless parameter of the wireless parameter of described first community and described second community in the first base station;
Or, first base station notice OAM selects corresponding optimisation strategy according to described wireless parameter and assesses, comprise: the first base station judges that described wireless parameter is except having an impact to described first community, also the second community is had an impact, and the first base station is when can not obtain the essential information of described second community, the described first base station wireless parameter of notice OAM to the wireless parameter of described first community and described second community is optimized, and described OAM selects corresponding optimisation strategy according to described wireless parameter;
Described assessment by after according to optimisation strategy, described wireless parameter is optimized.
2. the method for wireless parameter self-optimizing according to claim 1, is characterized in that, corresponding optimisation strategy is selected according to described wireless parameter in the first base station, and informs OAM and assess, and also comprises:
After first base station selected corresponding optimisation strategy, the wireless parameter configuration before and after optimisation strategy, optimisation strategy application and community wireless scene are reported OAM and assesses.
3. the method for wireless parameter self-optimizing according to claim 2, is characterized in that, described assessment by after according to described optimisation strategy, described wireless parameter is optimized, comprising:
When described wireless parameter only has an impact to described first community, assess by rear, OAM notifies that described first base station is optimized according to the first base station selected described wireless parameter of optimisation strategy to described first community;
Described wireless parameter is except having an impact to described first community, also the second community is had an impact, and the first base station is when can obtain the essential information of described second community, assessment is by rear, OAM notifies described first base station, the second base station belonging to the first base station and the second community, according to the first base station selected optimisation strategy, is optimized the wireless parameter of described first community and the wireless parameter of described second community separately.
4. the method for wireless parameter self-optimizing according to claim 2, is characterized in that, the first base station notice OAM selects corresponding optimisation strategy according to described wireless parameter, and assesses, and also comprises:
After described OAM selects corresponding optimisation strategy, assess according to the wireless parameter configuration before and after optimisation strategy, optimisation strategy application and community wireless scene.
5. the method for wireless parameter self-optimizing according to claim 4, is characterized in that, described assessment by after according to described optimisation strategy, described wireless parameter is optimized, comprising:
Described wireless parameter is except having an impact to described first community, also the second community is had an impact, and the first base station is when can not obtain the essential information of described second community, assessment is by rear, and OAM notifies that the optimisation strategy that described first base station and the second base station belonging to described second community are selected according to OAM is optimized the wireless parameter of described first community and the wireless parameter of described second community separately.
6. according to the method for the arbitrary described wireless parameter self-optimizing of claim 1 to 5, it is characterized in that, described optimisation strategy is assessed, comprising: assess the impact of described optimisation strategy on network performance, when assessment result meets the network planning index of formulation, assessment is passed through; Otherwise assessment is not passed through.
7. a system for wireless parameter self-optimizing, is characterized in that, this system comprises: Optimal Decision-making module, optimized evaluation module and optimisation strategy storehouse, wherein:
Described optimisation strategy storehouse, for Memory optimization strategy;
Be positioned at the described Optimal Decision-making module of the first base station, for determining the wireless parameter needing to carry out to need in the first community of wireless parameter self-optimizing to optimize that the first base station is administered;
Also for selecting corresponding optimisation strategy according to described wireless parameter from described optimisation strategy storehouse, and report operation management maintain OAM; Or notice OAM selects corresponding optimisation strategy according to wireless parameter;
Describedly from described optimisation strategy storehouse, select corresponding optimisation strategy according to described wireless parameter, and report OAM, comprise: after determining the wireless parameter needing in described first community that the first base station is administered to optimize, when judging that described wireless parameter only has an impact to described first community, corresponding optimisation strategy is selected according to the wireless parameter of described first community in the first base station; Or, judge that described wireless parameter is except having an impact to described first community, also the second community is had an impact, and when determining that the first base station can obtain the essential information of described second community, the essential information of described second community is: the wireless parameter of the second community, selects corresponding optimisation strategy according to the wireless parameter of described first community and the wireless parameter of described second community from described optimisation strategy storehouse;
Described notice OAM selects corresponding optimisation strategy according to described wireless parameter, comprise: judge that described wireless parameter is except having an impact to described first community, also the second community is had an impact, and when determining that the first base station can not obtain the essential information of described second community, the wireless parameter of notice OAM to the wireless parameter of described first community and described second community is optimized;
Be positioned at the described Optimal Decision-making module of OAM, for receive the first base station the notice of described Optimal Decision-making module after, from described optimisation strategy storehouse, select corresponding optimisation strategy according to described wireless parameter;
Be positioned at the described optimized evaluation module of OAM, assess for the optimisation strategy reported the described Optimal Decision-making module of the first base station; Also for assessing the optimisation strategy of the described Optimal Decision-making model choice of self;
Be positioned at the described Optimal Decision-making module of OAM, also for assessment by after according to optimisation strategy, described wireless parameter is optimized.
8. the system of wireless parameter self-optimizing according to claim 7, it is characterized in that, be positioned at the described Optimal Decision-making module of the first base station, also for the wireless parameter configuration before and after optimisation strategy, optimisation strategy application and community wireless scene are reported the described optimized evaluation module being positioned at OAM.
9. the system of wireless parameter self-optimizing according to claim 8, is characterized in that,
Be positioned at the described optimized evaluation module of OAM, also for when described wireless parameter only has an impact to described first community, and assessment is by rear, the Optimal Decision-making module that notice is positioned at described first base station is optimized according to the described wireless parameter of optimisation strategy to described first community;
Be positioned at the described optimized evaluation module of OAM, also at described wireless parameter except having an impact to described first community, also the second community is had an impact, and the first base station is when can obtain the essential information of described second community, and assessment is by rear, notify described first base station, by being positioned at the described Optimal Decision-making module of the first base station and being positioned at the described Optimal Decision-making module of the second base station belonging to the second community according to optimisation strategy, separately the wireless parameter of described first community and the wireless parameter of described second community are optimized.
10. the system of wireless parameter self-optimizing according to claim 8, it is characterized in that, be positioned at the described Optimal Decision-making module of OAM, also for selecting corresponding optimisation strategy according to described wireless parameter from described optimisation strategy storehouse, and the wireless parameter configuration before and after the optimisation strategy of selection, optimisation strategy application and community wireless scene are inputed to the described optimized evaluation module being positioned at OAM.
The system of 11. wireless parameter self-optimizings according to claim 10, it is characterized in that, be positioned at the described optimized evaluation module of OAM, also at described wireless parameter except having an impact to described first community, also the second community is had an impact, and the first base station is when can not obtain the essential information of described second community, and assessment is by rear, the described Optimal Decision-making module that notice is positioned at the first base station is optimized the wireless parameter of described first community and the wireless parameter of described second community according to optimisation strategy separately with the described Optimal Decision-making module being positioned at the second base station belonging to the second community.
12. according to the system of the arbitrary described wireless parameter self-optimizing of claim 7 to 11, it is characterized in that, be positioned at the described optimized evaluation module of OAM, also for when assessing described optimisation strategy, assess the impact of described optimisation strategy on network performance, when assessment result meets the network planning index of formulation, assessment is passed through; Otherwise assessment is not passed through.
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| CN106973403A (en) * | 2017-06-05 | 2017-07-21 | 北京佰才邦技术有限公司 | Method for parameter configuration, access network equipment and server |
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| CN101848476A (en) * | 2009-03-27 | 2010-09-29 | 大唐移动通信设备有限公司 | Method, device and system for realizing self-optimization of switching parameter |
| CN101909313A (en) * | 2009-06-08 | 2010-12-08 | 北京三星通信技术研究有限公司 | Method and device for automatically optimizing mobile communication system |
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| CN101848476A (en) * | 2009-03-27 | 2010-09-29 | 大唐移动通信设备有限公司 | Method, device and system for realizing self-optimization of switching parameter |
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