CN103067932A - Network optimization management method and device - Google Patents
Network optimization management method and device Download PDFInfo
- Publication number
- CN103067932A CN103067932A CN2011103223012A CN201110322301A CN103067932A CN 103067932 A CN103067932 A CN 103067932A CN 2011103223012 A CN2011103223012 A CN 2011103223012A CN 201110322301 A CN201110322301 A CN 201110322301A CN 103067932 A CN103067932 A CN 103067932A
- Authority
- CN
- China
- Prior art keywords
- self
- optimization function
- optimization
- function
- priority
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W24/00—Supervisory, monitoring or testing arrangements
- H04W24/02—Arrangements for optimising operational condition
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The invention discloses a network optimization management method and a device. The network optimization management method includes that under the condition of conflict between a first self optimization function and a second self optimization function, a third self optimization function is set as a high priority combination of a self optimization goal of the first self optimization function and the second self optimization function. The first self optimization function comprises one of a mobile robustness optimization function and a mobile load balancing optimization function. The second self optimization function comprises one of the mobile robustness optimization function and the mobile load balancing optimization function. A network is optimized and managed by using arranged self optimization functions. The network optimization management method and the device has the advantages of being capable of taking into account an optimization goal of each self optimization function and improving network optimization effect.
Description
Technical field
The present invention relates to the communications field, in particular to a kind of network optimization management method and device.
Background technology
In the running of mobile communcations system, often need to be optimized management to network, promote network service quality and user impression, improve resource utilization.In order to reduce maintenance cost, in the network optimization process of mobile communcations system, produced the demand of automation, in system, increase gradually exactly technology for automatically treating, operation conditions according to the network equipment, self adaptation is adjusted parameter, and the optimized network performance subtracts reduced-maintenance manpower and time cost.Self-optimization function is the important component part of SON (self-organizing network Self-Organizing Network) in the LTE stage at present.
Mobile robustness optimization (Mobility Robustness Optimization is referred to as MRO) and mobility load balance (Mobility Load Balancing is referred to as MLB) are two self-optimization functions that operator pays close attention to the most.The main target of MRO is exactly to reduce to switch relevant Radio Link Failure, improves dynamically the performance of handoffs in the network, thereby improves terminal use's impression; Its main Optimized Measures is can adjust dynamically cell parameter according to the network performance indication feedback to revise handoff boundary.The main target of MLB is that the partial service of the higher residential quarter of load is transferred to the lower residential quarter of load, thereby realizes the uniform distribution of minizone load; Its main Optimized Measures is to revise cell mobility parameter (such as cell reselection parameters/handoff parameter).
The standard implementation of consideration self-optimizing SON function: lasting monitoring self-optimizing index-＞startup self-optimizing measure when index does not satisfy-＞the measure execution is rear judges whether optimize before self-optimizing index ratio is carried out-＞this suboptimization of end or rollback.Can find out that the optimization aim of MRO and MLB is different, but Optimized Measures being similar, all is to revise cell reselection parameters or handoff parameter, and this just brings self-optimizing operating collision problem.
Conflict has two kinds of situations:
The self-optimizing measure of A.MRO and MLB all for same radio configuration parameters, and is revised opposite direction when concrete the execution.Such as residential quarter handoff parameter CIO (cell individual offset, cell individual offsets), for the same adjacent area of residential quarter, the Optimized Measures of MRO is to turn its CIO down, reduce unnecessary switching, and the Optimized Measures of MLB is to tune up its CIO, increases the possibility of switching to this adjacent area.
Different radio configuration parameters is used in the self-optimizing measure of B.MRO and MLB, but the effect that causes is opposite, and effect is cancelled each other.Use the measure that tunes up CIO that the residential quarter is switched such as MLB and become easier, but MRO adjusts the timeToTrigger judgement duration of other parameters such as A3 measurement event or the Thresh judging threshold of A4 measurement event, objectively can both make the residential quarter switch the difficulty that becomes, this class conflict is more hidden, and the impact that causes also is difficult to control.
Existing SON orthofunction processing method, lay particular emphasis on the rear end in the self-optimizing flow process, when carrying out, introduce all kinds of Optimized Measures a conflict Coordination Treatment module, strategy according to user's predefined is accepted or rejected the Optimal Parameters that causes conflict, thereby avoid conflict, this mechanism can partly solve the category-A problem, but can't solve the category-B problem.Because in some category-A problem, the execution of single self-optimization function may be revised a plurality of parameters, if wherein the coordinated module of the modification of one or two collisions parameter discards, the impact that causes may not be with not carry out this self-optimization function consistent.Coordination module is difficult to find conflict in the category-B problem, can not get involved.User's definition strategy can only be to accept or reject in addition, namely enables the problem of managing conflict, and also cannot take into account all kinds of optimization aim, has in fact still reduced the effect of optimization of user to network.
Summary of the invention
Thereby reduced the problem of network optimization effect and proposed the present invention for the optimization aim that in the situation of self-optimization function conflict, can't take into account each self-optimization function, for this reason, main purpose of the present invention is to provide a kind of network optimization management method and device, to address the above problem.
To achieve these goals, according to an aspect of the present invention, provide a kind of network optimization management method.
Network optimization management method according to the present invention comprises: exist in the situation of conflict at the first self-optimization function and the second self-optimization function, the 3rd self-optimization function is set to the combination of the self-optimizing target of the high priority in the first self-optimization function and the second self-optimization function, and wherein the first self-optimization function and the second self-optimization function include one of following: mobile robustness optimization function, mobility load balance optimizational function; Use the self-optimization function that arranges, network is optimized management.
Preferably, at the self-optimization function that use to arrange, network is optimized before the management, also comprise: the four selfs optimizational function is set to the combination of the self-optimizing target of the high priority in the second self-optimization function and the first self-optimization function; The applicable scene of the 3rd self-optimization function and four selfs optimizational function is set respectively; Use the self-optimization function that arranges, network is optimized management comprises: according to the residing scene of network, select the 3rd self-optimization function or four selfs optimizational function, network is optimized management.
Preferably, the applicable scene that the 3rd self-optimization function and four selfs optimizational function are set respectively comprises: the applicable scene that the mobile robustness optimization function is set is with the scene of frequently optimizing and cover deficiency, and the applicable scene that the mobility load balance optimizational function is set is the different system optimization of alien frequencies and covers perfect scene.
Preferably, before the four selfs optimizational function is set to the combination of self-optimizing target of the high priority in the second self-optimization function and the first self-optimization function, also comprise: according to impact from small to large the order of Optimized Measures corresponding to self-optimizing target on the second self-optimization function, the self-optimizing target in the first self-optimization function is carried out priority ordering from high to low.
Preferably, according to impact from small to large the order of Optimized Measures corresponding to self-optimizing target on the second self-optimization function, self-optimizing target in the first self-optimization function is carried out priority ordering from high to low to be comprised: for the mobile robustness optimization function, the priority that reduces the handoff failure total degree is set is higher than the priority that reduces invalid switching times, the priority that reduces invalid switching times is set is higher than the priority that reduces the too early event of switching, priority that reduce to switch too early event is set is higher than and reduces the priority of switching late event, arrange and reduce the priority of switching late event and be higher than and reduce the priority that switches to the wrong cell event.
Preferably, according to the residing scene of network, select the 3rd self-optimization function or four selfs optimizational function, network is optimized before the management, also comprise: the index of obtaining network according to the predefined cycle; According to index, determine the residing scene of network.
Preferably, before the 3rd self-optimization function is set to the combination of self-optimizing target of the high priority in the first self-optimization function and the second self-optimization function, also comprise: according to impact from small to large the order of Optimized Measures corresponding to self-optimizing target on the first self-optimization function, the self-optimizing target in the second self-optimization function is carried out priority ordering from high to low.
Preferably, according to impact from small to large the order of Optimized Measures corresponding to self-optimizing target on the first self-optimization function, self-optimizing target in the second self-optimization function is carried out priority ordering from high to low to be comprised: for the mobility load balance optimizational function, the priority that community user machine utilization balance is set is higher than minimizing and sets up unusual priority because of the wireless connections that the load reason causes, arrange and reduce the wireless connections that cause because of the load reason and set up unusual priority and be higher than and reduce the wireless appointment that causes because of the load reason and set up unusual priority, arrange and reduce the wireless appointment that causes because of the load reason and set up unusual priority and be higher than and reduce the unusual priority that discharges of the wireless connections that cause because of the load reason, arrange and reduce the unusual priority that discharges of the wireless connections that cause because of the load reason and be higher than and reduce the unusual priority that discharges of the wireless appointment that causes because of the load reason.
To achieve these goals, according to another aspect of the present invention, also provide a kind of network optimization management devices.
Network optimization management devices according to the present invention comprises: first arranges module, be used for existing in the situation of conflict at the first self-optimization function and the second self-optimization function, the 3rd self-optimization function is set to the combination of the self-optimizing target of the high priority in the first self-optimization function and the second self-optimization function, and wherein the first self-optimization function and the second self-optimization function include one of following: mobile robustness optimization function, mobility load balance optimizational function; Network optimization administration module is used for using the self-optimization function that arranges, and network is optimized management.
Preferably, said apparatus also comprises: second arranges module, is used for the combination of self-optimizing target that the four selfs optimizational function is set to the high priority of the second self-optimization function and the first self-optimization function; The 3rd arranges module, is used for arranging respectively the applicable scene of the 3rd self-optimization function and four selfs optimizational function; Network optimization administration module comprises: network optimization management submodule, be used for according to the residing scene of network, and select the 3rd self-optimization function or four selfs optimizational function, network is optimized management.
By the present invention, the 3rd self-optimization function is defined as the combination of the self-optimizing target of the high priority in the first self-optimization function and the second self-optimization function, thereby can takes into account the optimization aim of each self-optimization function, improve network optimization effect.
Description of drawings
Accompanying drawing described herein is used to provide a further understanding of the present invention, consists of the application's a part, and illustrative examples of the present invention and explanation thereof are used for explaining the present invention, do not consist of improper restriction of the present invention.In the accompanying drawings:
Fig. 1 is the flow chart according to the network optimization management method of the embodiment of the invention;
Fig. 2 is the flow chart according to the network optimization management method of the preferred embodiment of the present invention one;
Fig. 3 is the flow chart according to the network optimization management method of the preferred embodiment of the present invention two;
Fig. 4 is the structured flowchart according to the network optimization management devices of the embodiment of the invention;
Fig. 5 is the structured flowchart of network optimization management devices according to the preferred embodiment of the invention.
Embodiment
Need to prove that in the situation of not conflicting, embodiment and the feature among the embodiment among the application can make up mutually.Describe below with reference to the accompanying drawings and in conjunction with the embodiments the present invention in detail.
Fig. 1 is the flow chart according to the network optimization management method of the embodiment of the invention, as shown in Figure 1, comprises that following step S102 is to step S104.
Step S102, exist in the situation of conflict at the first self-optimization function and the second self-optimization function, the 3rd self-optimization function is set to the combination of the self-optimizing target of the high priority in the first self-optimization function and the second self-optimization function, and wherein the first self-optimization function and the second self-optimization function include one of following: mobile robustness optimization function, mobility load balance optimizational function.
Step S104 uses the self-optimization function that arranges, and network is optimized management.
In the correlation technique, in the situation of self-optimization function conflict, can't take into account the optimization aim of each self-optimization function, thereby reduce network optimization effect.In the embodiment of the invention, the 3rd self-optimization function is defined as the combination of the self-optimizing target of the high priority in the first self-optimization function and the second self-optimization function, thereby can takes into account the optimization aim of each self-optimization function, improve network optimization effect.
And then, consider and carry out different self-optimization functions according to different optimization aim, the present invention first four selfs optimizational function is set to the combination of the self-optimizing target of the high priority in the second self-optimization function and the first self-optimization function, and the applicable scene of the 3rd self-optimization function and four selfs optimizational function is set respectively again.Then, according to the residing scene of network, select the 3rd self-optimization function or four selfs optimizational function by network optimization management devices, network is optimized management.Like this, by the applicable scene of self-optimization function is set, and according to the residing scene of network, the self-optimization function of selecting to be fit to is optimized management to network, thereby can so that the self-optimization function of conflict has the execution of highest priority according to being suitable for scene, take into account simultaneously other self-optimizing targets.
Particularly, above-mentioned applicable scene is set can be that applicable scene that the mobile robustness optimization function is set is with frequently optimizing and cover not enough scene, and the applicable scene that the mobility load balance optimizational function is set is the different system optimization of alien frequencies and covers perfect scene.Then, obtain the index of network by network optimization management devices according to the predefined cycle, again according to index, determine network residing be with frequently optimizing and covering not enough scene or the different system optimization of alien frequencies and cover perfect scene.At last, select self-optimization function corresponding to this scene by network optimization management devices, network is optimized management.
On this basis, the present invention also provides the method for the self-optimizing target in the self-optimization function being carried out prioritization, namely, according to impact from small to large the order of Optimized Measures corresponding to self-optimizing target on the self-optimization function of conflict, the self-optimizing target in the self-optimization function is carried out priority ordering from high to low.Need to prove; this ordering rule only is a kind of giving an example; any other ordering rule in the practical application; for example the optimization aim by high priority satisfies the minimum requirement that such optimizes purpose; optimization aim by low priority satisfies the expansion requirement that such optimizes purpose, all should include protection scope of the present invention in.
Above-mentioned ordering rule can carry out priority ordering from high to low according to the priority of the priority that reduces the handoff failure total degree, the too early event of minimizing switching, the priority that late event was switched in minimizing, the order that reduces the priority that switches to the wrong cell event for the mobile robustness optimization function; For the mobility load balance optimizational function, can be according to the priority of community user machine utilization balance, reduce the wireless connections that cause because of the load reason and set up unusual priority, reduce that the wireless appointment that causes because of the load reason is set up unusual priority, reduced the unusual priority that discharges of the wireless connections that cause because of the load reason, the order that reduces the unusual priority that discharges of wireless appointment that causes because of the load reason is carried out priority ordering from high to low.
By the present invention, can coordinate from optimization aim the wireless network self-optimization function of similar MRO and MLB potentially conflicting, remedied the current deficiency of coordinating from Optimized Measures, thereby so that the potentially conflicting self-optimization function has the execution of highest priority by use scenes, take into account simultaneously other self-optimizing targets.
Be described in detail below in conjunction with the implementation procedure of example to the embodiment of the invention.
Preferred embodiment one
Fig. 2 is the flow chart according to the network optimization management method of the preferred embodiment of the present invention one, as shown in Figure 2, comprises that following step S202 is to step S222.
Step S202 is to step S204, MRO and the MLB self-optimization function group as potentially conflicting.Optimization aim to MRO and MLB is segmented priority separately.
Particularly, MRO is defined: reducing the handoff failure total degree is limit priority R0; Reducing invalid HO number is priority R1; Reducing and switching too early event is priority R2; Reducing and switching late event is priority R3; It is priority R4 that minimizing switches to the wrong cell event.MLB is defined: the balance of residential quarter UE load is limit priority L0; The unusual priority L1 that is is set up in the wireless connections that minimizing causes because of the load reason; The unusual priority L2 that is is set up in the wireless appointment that minimizing causes because of the load reason; Minimizing is released to priority L3 unusually because of the wireless connections that the load reason causes; Minimizing is released to priority L4 unusually because of the wireless appointment that the load reason causes.
Step S206 is to step S210, redefining MRO is main self-optimization function MRO_P, its optimization aim comprises all optimization aim of former MRO function, and (the high priority optimization aim L0 of R0～R4) and former MLB function considers these optimization aim, redefines corresponding Optimized Measures.Redefine MLB and be main self-optimization function MLB_P, its optimization aim comprises all optimization aim of former MLB function, and (L0～L4) and the high priority optimization aim R0 of former MRO function consider these optimization aim, redefine corresponding Optimized Measures.
Step S212, by information such as Construction phases system's use scenes is set manually, with frequently optimizing and covering under the not enough scene, uses the self-optimization function MRO_P that redefines, in alien frequencies and different system optimization with cover in the perfect situation, use the self-optimization function MLB_P that redefines.
Step S214 has described system to step S222 and has carried out MRO_P by the normal process of 3GPP self-optimizing network function.
Step S214, the monitoring system performance data is carried out index analysis.
Step S216 judges whether to satisfy the MRO_P optimization aim.
Step S218, project is processed first stage of construction at present, carries out the MRO_P Optimized Measures.
Step S220 judges whether to be improved before carrying out.
Step S222, the rollback Optimized Measures.
Preferred embodiment two
Fig. 3 is the flow chart according to the network optimization management method of the preferred embodiment of the present invention two, as shown in Figure 3, comprises that following step S302 is to step S326.
Step S302 is to step S304, and MRO and MLB as the self-optimization function group of potentially conflicting, are segmented priority separately to the optimization aim of MRO and MLB.
Particularly, MRO is defined: reducing the handoff failure total degree is limit priority R0; Reducing invalid HO number is priority R1; Reducing and switching too early event is priority R2; Reducing and switching late event is priority R3; It is priority R4 that minimizing switches to the wrong cell event.MLB is defined: the balance of residential quarter UE load is limit priority L0; The unusual priority L1 that is is set up in the wireless connections that minimizing causes because of the load reason; The unusual priority L2 that is is set up in the wireless appointment that minimizing causes because of the load reason; Minimizing is released to priority L3 unusually because of the wireless connections that the load reason causes; Minimizing is released to priority L4 unusually because of the wireless appointment that the load reason causes.
Step S306 is to step S310, and redefining MRO is main self-optimization function MRO_P, and its optimization aim comprises all optimization aim of former MRO function, and (R0～R4) and the high priority optimization aim L0 of former MLB function redefine corresponding Optimized Measures.Redefine MLB and be main self-optimization function MLB_P, its optimization aim comprises all optimization aim of former MLB function, and (L0～L4) and the high priority optimization aim R0 of former MRO function redefine corresponding Optimized Measures.
Step S312, to MRO and this self-optimizing conflict group of MLB, definition self-optimizing scene is from analytical standard P.
Step S314, system regularly compare from analytical standard P according to system index and scene.
Step S316, at present system judges that it is main use scenes that current scene meets MLB, system enables the MLB_P function automatically, close MRO_P function and former MRO former MLB function.
Step S318 has described system to step S326 and has held MLB_P by the normal process of 3GPP self-optimizing network function.
Step S318, the monitoring system performance data is carried out index analysis.
Step S320 judges whether to satisfy the MLB_P optimization aim.
Step S322 carries out the MLB_P Optimized Measures.
Step S324 judges whether to be improved before carrying out.
Step S326, the rollback Optimized Measures.
Need to prove, can in the computer system such as one group of computer executable instructions, carry out in the step shown in the flow chart of accompanying drawing, and, although there is shown logical order in flow process, but in some cases, can carry out step shown or that describe with the order that is different from herein.
The embodiment of the invention provides a kind of network optimization management devices, and this network optimization management devices can be used for realizing above-mentioned network optimization management method.Fig. 4 is the structured flowchart according to the network optimization management devices of the embodiment of the invention, as shown in Figure 4, comprises that first arranges module 42 and network optimization administration module 44.The below is described in detail its structure.
First arranges module 42, be used for existing in the situation of conflict at the first self-optimization function and the second self-optimization function, the 3rd self-optimization function is set to the combination of the self-optimizing target of the high priority in the first self-optimization function and the second self-optimization function, and wherein the first self-optimization function and the second self-optimization function include one of following: mobile robustness optimization function, mobility load balance optimizational function; Network optimization administration module 44 is connected to first module 42 is set, and is used for using the self-optimization function that arranges, and network is optimized management.
Fig. 5 is the structured flowchart of network optimization management devices according to the preferred embodiment of the invention, as shown in Figure 5, network optimization management devices comprises that also second arranges module 46 and the 3rd module 48 is set, network optimization administration module 44 comprises network optimization management submodule 442, and the below is described in detail its structure.
Second arranges module 46, is used for the combination of self-optimizing target that the four selfs optimizational function is set to the high priority of the second self-optimization function and the first self-optimization function; The 3rd arranges module 48, is connected to first and module 42 and second is set module 46 is set, and is used for arranging respectively first the applicable scene that the 3rd self-optimization function and second that module 42 arranges arranges the four selfs optimizational function that module 46 arranges is set; Network optimization administration module 44 comprises: network optimization management submodule 442, being connected to first arranges module 42, second and module 46 and the 3rd is set module 48 is set, be used for according to the residing scene matching the 3rd of network the applicable scene that module 48 arranges being set, select the first the 3rd self-optimization function and second that module 42 settings are set that the four selfs optimizational function that module 46 arranges is set, network is optimized management.
Need to prove that the network optimization management devices of describing among the device embodiment is corresponding to above-mentioned embodiment of the method, its concrete implementation procedure had been carried out detailed description in embodiment of the method, do not repeat them here.
In sum, according to the abovementioned embodiments of the present invention, a kind of network optimization management method and device are provided.By the present invention, the 3rd self-optimization function is defined as the combination of the self-optimizing target of the high priority in the first self-optimization function and the second self-optimization function, thereby can takes into account the optimization aim of each self-optimization function, improve network optimization effect.
Obviously, those skilled in the art should be understood that, above-mentioned each module of the present invention or each step can realize with general calculation element, they can concentrate on the single calculation element, perhaps be distributed on the network that a plurality of calculation elements form, alternatively, they can be realized with the executable program code of calculation element, thereby, they can be stored in the storage device and be carried out by calculation element, perhaps they are made into respectively each integrated circuit modules, perhaps a plurality of modules in them or step are made into the single integrated circuit module and realize.Like this, the present invention is not restricted to any specific hardware and software combination.
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 modifications and variations.Within the spirit and principles in the present invention all, any modification of doing, be equal to replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (10)
1. network optimization management method is characterized in that comprising:
Exist in the situation of conflict at the first self-optimization function and the second self-optimization function, the 3rd self-optimization function is set to the combination of the self-optimizing target of the high priority in described the first self-optimization function and described the second self-optimization function, and it is one of following that wherein said the first self-optimization function and described the second self-optimization function include: mobile robustness optimization function, mobility load balance optimizational function;
Use the self-optimization function that arranges, network is optimized management.
2. method according to claim 1 is characterized in that,
At the self-optimization function that use to arrange, network is optimized before the management, also comprise:
The four selfs optimizational function is set to the combination of the self-optimizing target of the high priority in described the second self-optimization function and described the first self-optimization function;
The applicable scene of described the 3rd self-optimization function and described four selfs optimizational function is set respectively;
Use the self-optimization function that arranges, network is optimized management comprises: according to the residing scene of described network, select described the 3rd self-optimization function or described four selfs optimizational function, network is optimized management.
3. method according to claim 2, it is characterized in that, the applicable scene that described the 3rd self-optimization function and described four selfs optimizational function are set respectively comprises: the applicable scene that the mobile robustness optimization function is set is with the scene of frequently optimizing and cover deficiency, and the applicable scene that the mobility load balance optimizational function is set is the different system optimization of alien frequencies and covers perfect scene.
4. method according to claim 2, it is characterized in that, before the four selfs optimizational function is set to the combination of self-optimizing target of the high priority in described the second self-optimization function and described the first self-optimization function, also comprise: according to impact from small to large the order of Optimized Measures corresponding to self-optimizing target on described the second self-optimization function, the self-optimizing target in described the first self-optimization function is carried out priority ordering from high to low.
5. method according to claim 4, it is characterized in that, according to impact from small to large the order of Optimized Measures corresponding to self-optimizing target on described the second self-optimization function, self-optimizing target in described the first self-optimization function is carried out priority ordering from high to low to be comprised: for the mobile robustness optimization function, the priority that reduces the handoff failure total degree is set is higher than the priority that reduces invalid switching times, the priority that reduces invalid switching times is set is higher than the priority that reduces the too early event of switching, priority that reduce to switch too early event is set is higher than and reduces the priority of switching late event, arrange and reduce the priority of switching late event and be higher than and reduce the priority that switches to the wrong cell event.
6. method according to claim 2 is characterized in that, according to the residing scene of described network, selects described the 3rd self-optimization function or described four selfs optimizational function, and network is optimized before the management, also comprises:
Obtain the index of described network according to the predefined cycle;
According to described index, determine the residing scene of described network.
7. method according to claim 1, it is characterized in that, before the 3rd self-optimization function is set to the combination of self-optimizing target of the high priority in described the first self-optimization function and described the second self-optimization function, also comprise: according to impact from small to large the order of Optimized Measures corresponding to self-optimizing target on described the first self-optimization function, the self-optimizing target in described the second self-optimization function is carried out priority ordering from high to low.
8. method according to claim 7, it is characterized in that, according to impact from small to large the order of Optimized Measures corresponding to self-optimizing target on described the first self-optimization function, self-optimizing target in described the second self-optimization function is carried out priority ordering from high to low to be comprised: for the mobility load balance optimizational function, the priority that community user machine utilization balance is set is higher than minimizing and sets up unusual priority because of the wireless connections that the load reason causes, arrange and reduce the wireless connections that cause because of the load reason and set up unusual priority and be higher than and reduce the wireless appointment that causes because of the load reason and set up unusual priority, arrange and reduce the wireless appointment that causes because of the load reason and set up unusual priority and be higher than and reduce the unusual priority that discharges of the wireless connections that cause because of the load reason, arrange and reduce the unusual priority that discharges of the wireless connections that cause because of the load reason and be higher than and reduce the unusual priority that discharges of the wireless appointment that causes because of the load reason.
9. network optimization management devices is characterized in that comprising:
First arranges module, be used for existing in the situation of conflict at the first self-optimization function and the second self-optimization function, the 3rd self-optimization function is set to the combination of the self-optimizing target of the high priority in described the first self-optimization function and described the second self-optimization function, and it is one of following that wherein said the first self-optimization function and described the second self-optimization function include: mobile robustness optimization function, mobility load balance optimizational function;
Network optimization administration module is used for using the self-optimization function that arranges, and network is optimized management.
10. device according to claim 9 is characterized in that,
Described device also comprises:
Second arranges module, is used for the combination of self-optimizing target that the four selfs optimizational function is set to the high priority of described the second self-optimization function and described the first self-optimization function;
The 3rd arranges module, is used for arranging respectively the applicable scene of described the 3rd self-optimization function and described four selfs optimizational function;
Described network optimization administration module comprises: network optimization management submodule, be used for according to the residing scene of described network, and select described the 3rd self-optimization function or described four selfs optimizational function, network is optimized management.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201110322301.2A CN103067932B (en) | 2011-09-27 | 2011-09-27 | Network optimization management method and device |
| PCT/CN2012/077159 WO2013044648A1 (en) | 2011-09-27 | 2012-06-19 | Method and device for network optimization management |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201110322301.2A CN103067932B (en) | 2011-09-27 | 2011-09-27 | Network optimization management method and device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103067932A true CN103067932A (en) | 2013-04-24 |
| CN103067932B CN103067932B (en) | 2017-09-29 |
Family
ID=47994221
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201110322301.2A Active CN103067932B (en) | 2011-09-27 | 2011-09-27 | Network optimization management method and device |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN103067932B (en) |
| WO (1) | WO2013044648A1 (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104113864A (en) * | 2014-07-30 | 2014-10-22 | 中国联合网络通信集团有限公司 | Self-optimizing method and device of network |
| CN107371178A (en) * | 2017-08-28 | 2017-11-21 | 北京天元创新科技有限公司 | High load capacity cell optimization method and device |
| WO2023212845A1 (en) * | 2022-05-05 | 2023-11-09 | Nokia Shanghai Bell Co., Ltd. | Method, apparatus and computer program |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101626590A (en) * | 2009-08-04 | 2010-01-13 | 中国科学技术大学 | Method for preventing conflict between moving load balance and moving robustness optimization function |
| WO2010105443A1 (en) * | 2009-03-20 | 2010-09-23 | 华为技术有限公司 | Managed unit device, self-optimization method and system |
| CN102036274A (en) * | 2009-09-29 | 2011-04-27 | 中国移动通信集团公司 | Independent conflict processing method, system, independent network elements and independent management center |
| CN102056206A (en) * | 2009-11-04 | 2011-05-11 | 中兴通讯股份有限公司 | Self-organization operation processing method and device |
| CN102056336A (en) * | 2009-11-02 | 2011-05-11 | 华为技术有限公司 | Method and device for cooperatively processing self-organizing operation, and communication system |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102724691B (en) * | 2009-03-20 | 2016-03-30 | 华为技术有限公司 | The method and system of managed unit equipment, self-optimizing |
-
2011
- 2011-09-27 CN CN201110322301.2A patent/CN103067932B/en active Active
-
2012
- 2012-06-19 WO PCT/CN2012/077159 patent/WO2013044648A1/en active Application Filing
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2010105443A1 (en) * | 2009-03-20 | 2010-09-23 | 华为技术有限公司 | Managed unit device, self-optimization method and system |
| CN101626590A (en) * | 2009-08-04 | 2010-01-13 | 中国科学技术大学 | Method for preventing conflict between moving load balance and moving robustness optimization function |
| CN102036274A (en) * | 2009-09-29 | 2011-04-27 | 中国移动通信集团公司 | Independent conflict processing method, system, independent network elements and independent management center |
| CN102056336A (en) * | 2009-11-02 | 2011-05-11 | 华为技术有限公司 | Method and device for cooperatively processing self-organizing operation, and communication system |
| CN102056206A (en) * | 2009-11-04 | 2011-05-11 | 中兴通讯股份有限公司 | Self-organization operation processing method and device |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104113864A (en) * | 2014-07-30 | 2014-10-22 | 中国联合网络通信集团有限公司 | Self-optimizing method and device of network |
| CN107371178A (en) * | 2017-08-28 | 2017-11-21 | 北京天元创新科技有限公司 | High load capacity cell optimization method and device |
| CN107371178B (en) * | 2017-08-28 | 2019-10-18 | 浪潮软件集团有限公司 | high-load cell optimization method and device |
| WO2023212845A1 (en) * | 2022-05-05 | 2023-11-09 | Nokia Shanghai Bell Co., Ltd. | Method, apparatus and computer program |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103067932B (en) | 2017-09-29 |
| WO2013044648A1 (en) | 2013-04-04 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10498613B2 (en) | Method and apparatus for coordinating network | |
| CN102239725B (en) | Method, apparatus for priority based cell reselection in a multi-wat environment | |
| US7864727B2 (en) | Congestion control method for wireless communication system and base station control apparatus | |
| CN102340843B (en) | Terminal mode processing method, network access method and base station thereof | |
| US20090116448A1 (en) | Apparatus and method of changing access point in wireless network system | |
| CN1520067A (en) | Channel determination method and used radio station and terminal equipment | |
| CN109041140B (en) | Method for rapidly switching wireless network, intelligent hardware and terminal equipment | |
| US11044729B2 (en) | Function scheduling method, device, and system | |
| CN103249097A (en) | Communications system | |
| CN101965012B (en) | Load balancing method and device | |
| JP2011035763A (en) | Load distribution method and radio base station control apparatus | |
| CN103392376B (en) | Radio network controller and radio network controller component | |
| CN104301974A (en) | Network switching method and system and terminal | |
| CN101039235B (en) | Method and apparatus for adjusting anti-interference of accessing point | |
| CN103067932A (en) | Network optimization management method and device | |
| CN110461023B (en) | Cell residence method and device for voice service, storage medium and main base station | |
| CN113453252B (en) | Communication method and device | |
| CN101959148A (en) | Redirection method, base station and terminal | |
| CN103369603B (en) | The mutual operation method of self-organizing network and device | |
| KR101319904B1 (en) | Optimization method for channel assignment and optimization equipment for channel assignment | |
| CN115243343B (en) | System and method for optimizing load balancing over 6GHZ radio | |
| US10999404B2 (en) | Method, apparatus and system for SON coordination depending on SON function priority | |
| CN103152801B (en) | The method and apparatus being connected is set up with wireless access device | |
| KR20120070177A (en) | Method for handover between ap in wireless lan environment and mobile communication terminal therefor | |
| CN117616816A (en) | Resource optimization for conditional handover |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |