CN103108363A - Method and device of parameter management coordination - Google Patents
Method and device of parameter management coordination Download PDFInfo
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- CN103108363A CN103108363A CN201110362013XA CN201110362013A CN103108363A CN 103108363 A CN103108363 A CN 103108363A CN 201110362013X A CN201110362013X A CN 201110362013XA CN 201110362013 A CN201110362013 A CN 201110362013A CN 103108363 A CN103108363 A CN 103108363A
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Abstract
The invention provides a method and a device of parameter management coordination, and relates to the communication field. The method and the device can coordinate parameter management and improve accuracy of parameter processing. The method of the parameter management coordination comprises the steps: detecting whether a received parameter modifying instruction is an automatic arithmetic modifying instruction or not; when the received parameter modifying instruction is the automatic arithmetic modifying instruction, obtaining a modifying state of a system parameter which needs to be modified; if modification of the system parameter obtained by the modifying state of the system parameter is finished by non-automatic arithmetic modification, accepting modification of the automatic arithmetic modifying instruction, wherein before the automatic arithmetic modifying instruction modifies the system parameter, reanalysis of the system parameter and optimization of the parameter modifying instruction are carried out according to the system parameter which is finished by the non-automatic arithmetic modification; and if the modification of the system parameter obtained by the modifying state of the system parameter is finished by automatic arithmetic modification, re-modifying the system parameter according to the received automatic arithmetic modifying instruction. The method and the device are used for the parameter management coordination.
Description
Technical field
The present invention relates to the communications field, relate in particular to a kind of method and device that parameter management is coordinated.
Background technology
Self-organizing network (SON, self-organizing network) has been realized being provided cost savings by the conversion of human brain thinking decision logic to automatic algorithms.In prior art, by the automatic algorithms of parameters self-tuning module, carry out the automatic modification of parameter, realize the management to equipment in network; Accordingly, in self-organizing network, can also revise parameter by manual type, to realize the management of equipment.
State in realization in the invention process of method that parameter management is coordinated and device, the inventor finds that in prior art, there are the following problems at least: because automatic algorithms and manual amendment's mode of the parameters self-tuning module of self-organizing network can't be distinguished, when the automatic algorithms of parameters self-tuning module and manual amendment modify to the same system parameter, may cause system parameters to revise the generation of chaotic and ping-pong phenomenon, and the not corresponding solution of coordinating of this phenomenon.
Summary of the invention
Method and device that embodiments of the invention provide a kind of parameter management to coordinate, by distinguishing the modification state of modify instruction and system parameters, the coordination parameter management improves the accuracy of processing.
For achieving the above object, embodiments of the invention adopt following technical scheme:
On the one hand, a kind of method that provides parameter management to coordinate comprises:
Detect whether the parameter modification instruction that receives is the automatic algorithms modify instruction;
When described parameter modification instruction is the automatic algorithms modify instruction, obtain the modification state of the system parameters of described automatic algorithms modify instruction requirement modification;
If obtain the modification of described system parameters is revised by non-automatic algorithm modify instruction and completes according to the modification state of described system parameters, accepting described automatic algorithms modify instruction revises, wherein, described automatic algorithms modify instruction was revised according to described non-automatic algorithm the described system parameters of completing and is carried out reanalysing and the parameter modification optimization of system parameters before revising described system parameters; Perhaps
If obtain the modification of described system parameters is revised by described automatic algorithms modify instruction and completes according to the modification state of described system parameters, remodify described system parameters according to the described automatic algorithms modify instruction that receives, wherein, before described automatic algorithms modify instruction is remodifying described system parameters, if the automatic modify instruction priority that described modification is completed is higher than described automatic algorithms modify instruction, the system parameters completed according to described modification of described automatic algorithms modify instruction is carried out reanalysing and the parameter modification optimization of system parameters.
On the one hand, the device that provides a kind of parameter management to coordinate comprises:
Whether detection module is the automatic algorithms modify instruction for detection of the parameter modification instruction that receives;
Revise state acquisition module, when being the automatic algorithms modify instruction for described parameter modification instruction, obtain the modification state of the system parameters of described automatic algorithms modify instruction requirement modification;
The first receiver module, the modification that the modification state that is used for described system parameters obtains described system parameters be by non-automatic algorithm modify instruction revise complete the time, accepting described automatic algorithms modify instruction revises, wherein, described automatic algorithms modify instruction was revised according to described non-automatic algorithm the described system parameters of completing and is carried out reanalysing and the parameter modification optimization of system parameters before revising described system parameters;
the second receiver module, the modification that the modification state that is used for described system parameters obtains described system parameters is to be revised when completing by described automatic algorithms modify instruction, receive described automatic algorithms modify instruction, remodify described system parameters, wherein, before described automatic algorithms modify instruction is remodifying described system parameters, if the automatic modify instruction priority that described modification is completed is higher than described automatic algorithms modify instruction, the system parameters completed according to described modification of described automatic algorithms modify instruction is carried out reanalysing and the parameter modification optimization of system parameters.
Method and device that the parameter management that the present embodiment provides is coordinated, when detecting the automatic algorithms modify instruction, obtain the modification state of the system parameters of automatic algorithms modify instruction requirement modification, and operate accordingly according to different modification states, avoided the automatic algorithms modify instruction with manual amendment's returning type modification as a result, the confusion of also having avoided different automatic algorithms modify instructions to revise simultaneously causing is revised phenomenon, and then has improved speed and the accuracy that system parameters is processed.
Description of drawings
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, the below will do to introduce simply to the accompanying drawing of required use in embodiment or description of the Prior Art, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skills, under the prerequisite of not paying creative work, can also obtain according to these accompanying drawings other accompanying drawing.
The schematic flow sheet of the method that the parameter management that Fig. 1 provides for the embodiment of the present invention one is coordinated;
The schematic flow sheet of the method that the parameter management that Fig. 2 provides for the embodiment of the present invention two is coordinated;
The organigram of the device that the parameter management that Fig. 3 provides for the embodiment of the present invention three is coordinated;
The organigram of the device that Fig. 4 coordinates for another parameter management that the embodiment of the present invention three provides;
The organigram of the device that Fig. 5 coordinates for the another parameter management that the embodiment of the present invention three provides.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is only the present invention's part embodiment, rather than whole embodiment.Based on the embodiment in the present invention, those of ordinary skills belong to the scope of protection of the invention not making the every other embodiment that obtains under the creative work prerequisite.
Embodiment one
A kind of method that the embodiment of the present invention provides parameter management to coordinate, the method that this parameter management is coordinated can be passed through in self-organizing network, modify instruction is according to the different conditions of system parameters, system parameters is carried out corresponding modify, reach management, coordinate modify instruction to the purpose of parameter modification, as shown in Figure 1, comprise the following steps:
Whether the parameter modification instruction that S101, detection receive is the automatic algorithms modify instruction.
It is worthy of note, the said system parameter is configuration parameter relevant to automatic function in self-organizing network, can be that the self-organizing network mobility is distributed parameter rationally, the self-organizing network load balance distributes parameter, the energy-conservation configuration parameter of self-organizing network, self-organizing network interference coordination configuration parameter, self-organizing network cell failure detection rationally and compensation configuration parameter, self-organizing network cover and capacity is distributed parameter rationally.Embodiment of the present invention protection range includes but not limited to above-mentioned configuration parameter.
further, the automatic algorithms modify instruction that the embodiment of the present invention proposes refers to that the automatic algorithms of SON is positioned at NM (Network Management, network management) during aspect, automatically the adjustment order to system parameters of configuration, the automatic algorithms modify instruction can be SONMRO (Self organizing network mobility robustness optimization, the self-organizing network mobility is optimized) modify instruction, SONMLB (Self organizing network mobility load balancing, the self-organizing network load balance is optimized) modify instruction etc.
S102, when the parameter modification instruction is the automatic algorithms modify instruction, obtain the modification state of the system parameters that the requirement of automatic algorithms modify instruction revises.
If S103 gets the modification of system parameters and is revised by non-automatic algorithm modify instruction and complete according to the modification state of said system parameter, accepting the automatic algorithms modify instruction revises, wherein, the automatic algorithms modify instruction was revised according to non-automatic algorithm the system parameters of completing and is carried out reanalysing and the parameter modification optimization of system parameters before revising system parameters.
Exemplary, when a system parameters 3 is modified as 5 by non-automatic algorithm, as be manually modified into 5, at this moment system parameters has received an automatic algorithms modify instruction requirement modification, this automatic algorithms modify instruction is based on 3, the stack instruction of each increase by 0.5, so, be modified to before 5 system parameters accepts this automatic algorithms modify instruction, the automatic algorithms modify instruction will be analyzed according to system parameters 5, the stack instruction that is optimized for based on 5 each increases by 0.5 is revised in the parameter instruction of oneself, then this system parameters 5 is modified; The target of revising according to concrete system parameters needs, for example 5.3, this automatic algorithms modify instruction is optimized to based on 5, increase by 0.1, to increase the accuracy of revising at every turn.
If S104 obtains the modification of system parameters and revised by the automatic algorithms modify instruction and complete according to the modification state of said system parameter, remodify system parameters according to the automatic algorithms modify instruction that receives.Wherein, before the automatic algorithms modify instruction is remodifying system parameters, if revise the automatic modify instruction priority complete higher than the automatic algorithms modify instruction, the system parameters completed according to modification of automatic algorithms modify instruction is carried out reanalysing and the parameter modification optimization of system parameters.
Exemplary, complete the automatic algorithms modify instruction of modification for revising the instruction of system parameters numerical values recited, and the self-organizing network interference coordination that the automatic algorithms modify instruction that receives is system parameters strengthens instruction, so, remodify system parameters according to the automatic algorithms modify instruction that receives, just on the basis that the adjustment of system parameters numerical values recited is completed, then to revise interference coordination parameters mutually.
Further; the automatic algorithms modify instruction priority that the judgement modification is completed is higher than the automatic algorithms modify instruction; can be according to the height of the priority of coming to preset on the source device judgement automatic algorithms modify instruction priority of automatic algorithms modify instruction; only take this comparative approach as example, protection range is not limited to this herein.
For instance, by at least one NMS (Network Management System, network management system) with an IRP-Agent (Integration Reference Point Agent, integrated reference point agency) in the self-organized network management system that forms, IRP-Agent receives the parameter modification instruction A that is sent by NMS, and parameter modification instruction A is detected.When parameter modification instruction A is the automatic algorithms modify instruction, obtain the modification state that automatic algorithms modify instruction A requires the system parameters of modification.If the modification of the modification state representation system parameters that gets is revised by non-automatic algorithm modify instruction and is completed, automatic algorithms modify instruction A can reanalyse and the parameter modification optimization system parameters, and based on being modified by the amended new system parameters of non-automatic algorithm; If the modification of the modification state representation system parameters that gets is revised by the automatic algorithms modify instruction and is completed, system parameters receives the automatic algorithms modify instruction and remodifies, before automatic algorithms modify instruction A is remodifying system parameters, if revise the automatic modify instruction priority complete higher than automatic algorithms modify instruction A, the system parameters completed according to modification of automatic algorithms modify instruction A is carried out reanalysing and the parameter modification optimization of system parameters.
The method that the parameter management that the present embodiment provides is coordinated, when detecting the automatic algorithms modify instruction, obtain the modification state of the system parameters of automatic algorithms modify instruction requirement modification, and operate accordingly according to different modification states, avoided the automatic algorithms modify instruction with manual amendment's returning type modification as a result, the confusion of also having avoided different automatic algorithms modify instructions to revise simultaneously causing is revised phenomenon, and then has improved speed and the accuracy that system parameters is processed.
Embodiment two
A kind of method that the embodiment of the present invention provides parameter management to coordinate as shown in Figure 2, comprises the following steps:
It is automatic algorithms modify instruction or manual amendment's instruction that S201, SON functional entity detect the parameter modification instruction that receives.
Wherein, the manual amendment's instruction in step S201 is a kind of concrete optional form of non-automatic algorithm instruction, but the embodiment of the present invention does not limit this.
When the parameter modification instruction is the automatic algorithms modify instruction, change S202 over to, when the parameter modification instruction is artificial modify instruction, change S208 over to.
It is worthy of note, if when receiving simultaneously a plurality of SON self-organizing network automatic algorithms modify instruction, the priority that compares these SON self-organizing network automatic algorithms modify instructions, the SON self-organizing network automatic algorithms modify instruction that the priority that relatively obtains is the highest is as the automatic algorithms modify instruction, carry out following operation, other SON self-organizing network automatic algorithms modify instruction is not included range of receiving in because priority is lower.So, can guarantee that the SON functional entity receives the high modify instruction of priority, improves the accuracy of revising.
S202, SON functional entity read the command identification source that the automatic algorithms modify instruction carries, so that according to the different priorities of the corresponding algorithm in command identification source, system parameters is modified.
exemplary, above command source sign comprises but and being not limited to: SON, SONMRO (Self organizing network mobility robustness optimization, the self-organizing network mobility is optimized), SONMLB (Self organizing network mobility load balancing, the self-organizing network load balance is optimized), SONES (Self organizing network energy saving, self-organizing network is energy-conservation), SONICIC (Self organizing network Interference control, the self-organizing network interference coordination), SONCOC (Self organizing network cell outage compensation, self-organizing network cell failure detection and compensation), SONCCO (Self organizing network coverage and capacity optimization, self-organizing network covers and capacity optimization).
S203, SON functional entity obtain the modification state of the system parameters of automatic algorithms modify instruction requirement modification.
Exemplary, the modification state of mentioning in step 203 can be divided according to different granularities, divides as the coarseness of the corresponding common modification state of all system parameterss; Or the corresponding partition by fine granularities of revising state of each system parameters; Or a marginal part has corresponding modification state of system parameters of same characteristic features, the corresponding modification state of a part of system parameters as identical in automation function in self-organizing network etc.
Different according to the modification state of system parameters, difference execution in step S204, S205, S206, S207.
The modification that S204, SON functional entity get system parameters according to the modification state of system parameters is revised by non-automatic algorithm modify instruction and is completed, before the automatic algorithms modify instruction is revised, the parameter value that automatic algorithms is revised according to non-automatic algorithm carries out reanalysing and the parameter modification optimization of system parameters, system parameters receive this reanalyse with the parameter modification optimization after the modification of automatic algorithms modify instruction.
The modification that S205, SON functional entity obtain system parameters according to the modification state of system parameters is revised by the automatic algorithms modify instruction and is completed, and remodifies system parameters according to the automatic algorithms modify instruction that receives.
Wherein, before the automatic algorithms modify instruction is remodifying described system parameters, if revise the automatic modify instruction priority complete higher than the automatic algorithms modify instruction, the system parameters completed according to modification of automatic algorithms modify instruction is carried out reanalysing and the parameter modification optimization of system parameters.The parameter value that can avoid so the higher automatic algorithms modification of priority to complete is revised by the lower automatic algorithms returning type of priority, with the accuracy that guarantees to revise.
S206, SON functional entity obtain system parameters according to the modification state of system parameters and are accepting other automatic algorithms modify instructions and modify, more revising the priority of the automatic algorithms modify instruction of other automatic algorithms modify instructions of system parameters and reception, receive the modification of the high automatic algorithms modify instruction of priority, forbid the modification of the automatic algorithms modify instruction that priority is low.
Specifically, if other automatic algorithms modify instruction priority of revising system parameters higher than the priority of the automatic algorithms modify instruction that just receives, are forbidden the automatic algorithms modify instruction, system parameters is modified, proceed original modification;
If revising other automatic algorithms modify instruction priority of system parameters lower than the priority of the automatic algorithms modify instruction that just receives, stop other automatic algorithms modify instructions to the ongoing modification of system parameters, transfer to and receive the automatic algorithms modify instruction just receive system parameters is modified.
S207, SON functional entity obtain system parameters according to the modification state of system parameters and are receiving artificial modify instruction and revise, and forbid that the automatic algorithms modify instruction modifies to system parameters.
When the parameter modification instruction that S208, the detection of SON functional entity receive is artificial modify instruction, accepts artificial modify instruction system parameters is modified.
For instance, in the self-organized network management system that is comprised of at least one modify instruction transmitting terminal and SON functional entity, the SON functional entity receives the parameter modification instruction A that is sent by the modify instruction transmitting terminal, and parameter modification instruction A is detected.
When the SON functional entity is received a plurality of SON self-organizing network automatic algorithms modify instructions, need first to compare the priority of these SON self-organizing network automatic algorithms modify instructions, select the highest SON self-organizing network automatic algorithms modify instruction of priority, and the SON self-organizing network automatic algorithms modify instruction that this priority is the highest is taken as the automatic algorithms modify instruction that the SON functional entity receives, and carries out next step operation; When the SON functional entity is only received a SON self-organizing network automatic algorithms modify instruction, just directly with this SON self-organizing network automatic algorithms modify instruction as the automatic algorithms instruction, and carry out next step operation;
Next step above-mentioned operation, comprise: first read the command identification source that the automatic algorithms modify instruction carries, so that carry out the modification of system parameters according to algorithm corresponding to command identification source, then obtain the modification state of the system parameters of automatic algorithms modify instruction requirement modification, modification state according to different carries out different operations;
About system parameters, the embodiment of the present invention with configuration parameter relevant to automatic function in self-organizing network for example, distribute as the self-organizing network mobility that parameter, self-organizing network load balance are distributed parameter, the energy-conservation configuration parameter of self-organizing network, self-organizing network interference coordination configuration parameter, self-organizing network cell failure detection rationally and compensation configuration parameter, self-organizing network cover and capacity is distributed parameter rationally rationally, but be not limited to this scope.
If the SON functional entity is completed by manual amendment's instruction modification according to the modification that the modification state of system parameters obtains system parameters, revised higher than the modify instruction of this automatic modify instruction that receives by priority in other words conj.or perhaps and complete, by complete modifications, system parameters reception automatic algorithms modify instruction after refreshing.Wherein, before receiving the automatic algorithms instruction modification, the automatic algorithms modify instruction also can carry out reanalysing and the parameter modification optimization of system parameters, with assurance, the system parameters after refreshing is modified;
If the SON functional entity obtains the modification of system parameters and revised by the automatic algorithms modify instruction and complete according to the modification state of system parameters, remodify system parameters according to the command source sign of the automatic algorithms modify instruction that reads and the automatic algorithms modify instruction that receives;
Accepting other automatic algorithms modify instructions and modifying if the SON functional entity obtains system parameters according to the modification state of system parameters, might as well establish and receive other automatic algorithms modify instructions is modify instruction A, the automatic algorithms modify instruction that just receives is modify instruction B, compare the priority of modify instruction A and modify instruction B, if the priority of modify instruction A is higher than modify instruction B, forbid that modify instruction B modifies to system parameters, proceeds the modification of modify instruction A; If the priority of modify instruction A lower than the priority of modify instruction B, stops modify instruction A to the ongoing modification of system parameters, transfer reception modify instruction B to system parameters is modified;
Accepting artificial modify instruction and revising if the SON functional entity obtains system parameters according to the modification state of system parameters, forbid that the automatic algorithms modify instruction modifies to system parameters, this is when modifying due to the higher instruction of priority, do not accept the lower modify instruction of priority and insert, in order to avoid system parameters is formed the modification of returning type;
When the SON functional entity receives manual amendment's instruction, can modify to system parameters according to manual amendment's instruction, certainly, also there is different priority in manual amendment's instruction, because manual amendment's instruction degree of intelligence is high, so can independently judge and select the high manual amendment's instruction of priority that system parameters is revised.
In addition, in practical application, can arrange according to the modification state of different granularities to system parameters.Exemplary, N system parameters carried out numerical value revise.
When processing this N system parameters, for whole N system parameterss are distributed a modification state, so that N system parameters carried out unified status indicator.Might as well represent its modification state with a flag bit k.If what issue is the automatic algorithms modify instruction, when k represents different modification state, N system parameters carried out group performance so.
Certainly, also can be M modification state of whole N system parameterss distribution for the functional dependency of N system parameters, the relevant system parameters of the corresponding one group of function of each modification state.Such as, the system parameters relevant with MLB (mobility load balancing, load balance optimization) function has a modification state.Specifically might as well represent its modification state with unlike signal position k, the correspondences such as n, m to the system parameters of M different modification states, for different modification states, the system parameters in k, n, m be carried out different operating.
In addition, for each system parameters of more accurate processing, this N system parameters can be marked separately upper current modification state, and process one by one according to different separately information states.
The method that the parameter management that the present embodiment provides is coordinated, when detecting the automatic algorithms modify instruction, obtain the modification state of the system parameters of automatic algorithms modify instruction requirement modification, and operate accordingly according to different modification states, avoided the automatic algorithms modify instruction with manual amendment's returning type modification as a result, the confusion of also having avoided different automatic algorithms modify instructions to revise simultaneously causing is revised phenomenon, and then has improved speed and the accuracy that system parameters is processed.
Embodiment three
The device that a kind of parameter management that the embodiment of the present invention provides is coordinated as shown in Figure 3, comprising: detection module 301, modification state acquisition module 302, the first receiver module 303, the second receiver module 304.
Whether detection module 301 is the automatic algorithms modify instruction for detection of the parameter modification instruction that receives.
Revise state acquisition module 302, when being the automatic algorithms modify instruction for the parameter modification instruction, obtain the modification state of the system parameters of automatic algorithms modify instruction requirement modification.
The first receiver module 303, be used for modification that modification state according to system parameters obtains system parameters and be by non-automatic algorithm modify instruction revise complete the time, accept the automatic algorithms modify instruction and revise.
Wherein, the automatic algorithms modify instruction was revised according to non-automatic algorithm the system parameters of completing and is carried out reanalysing and the parameter modification optimization of system parameters before revising system parameters
The second receiver module 304 is used for modification that modification state according to system parameters obtains system parameters and is being revised when completing by the automatic algorithms modify instruction, receives the automatic algorithms modify instruction, remodifies system parameters.
Wherein, before the automatic algorithms modify instruction is remodifying system parameters, if revise the automatic modify instruction priority complete higher than the automatic algorithms modify instruction, the system parameters completed according to modification of automatic algorithms modify instruction is carried out reanalysing and the parameter modification optimization of system parameters.
The device that the parameter management that the present embodiment provides is coordinated, when detection module detects the automatic algorithms modify instruction, obtain the modification state of the system parameters of automatic algorithms modify instruction requirement modification, and operate accordingly according to different modification states, avoided the automatic algorithms modify instruction with manual amendment's returning type modification as a result, the confusion of also having avoided different automatic algorithms modify instructions to revise simultaneously causing is revised phenomenon, and then has improved speed and the accuracy that system parameters is processed.
Further, the parameter management conditioning unit as shown in Figure 4, also comprises: the first comparison module 305, read module 306, the second comparison module 307, modification disabled module 308, modification receiver module 309.
The first comparison module 305, be used for described detection module the parameter modification instruction that described detection receives be for the automatic algorithms modify instruction after, if when receiving a plurality of SON self-organizing network automatic algorithms modify instruction, the priority that compares these SON self-organizing network automatic algorithms modify instructions, the SON self-organizing network automatic algorithms modify instruction that priority is the highest is as the automatic algorithms modify instruction, to carry out next step retouching operation.
Read module 306, be used for described detection module the parameter modification instruction that described detection receives be for the automatic algorithms modify instruction after, read the command identification source that the automatic algorithms modify instruction carries, so that according to the different priorities of the corresponding algorithm in command identification source, system parameters is modified.
The command source sign is introduced in method in detail, is not repeated at this.
The second comparison module 307, when being used for modification state according to system parameters and obtaining system parameters and receiving other automatic algorithms modify instructions, more revising the priority of the automatic algorithms modify instruction of other automatic algorithms modify instructions of system parameters and reception;
Revise disabled module 308, be used for when other automatic algorithms modify instruction priority of revising system parameters during higher than the priority of the automatic algorithms modify instruction that receives, forbid that the automatic algorithms modify instruction modifies to system parameters;
Revise receiver module 309, be used for when other automatic algorithms modify instruction priority of revising system parameters during lower than the priority of the automatic algorithms modify instruction that receives, stop other automatic algorithms modify instructions to the modification of system parameters, accept the automatic algorithms modify instruction system parameters is modified
Revise disabled module 308, if when also being used for modification state according to system parameters and obtaining system parameters and accepting non-automatic algorithm modify instruction and revise, forbid system parameters is modified.
Exemplary, above-mentioned non-automatic algorithm modify instruction is generally priority higher than manual amendment's instruction of automatic algorithms modify instruction.
Further, the parameter management conditioning unit as shown in Figure 5, also comprises: the 3rd receiver module 310, modification state setting module 311.
The 3rd receiver module 310 is used for accepting non-automatic algorithm modify instruction system parameters being modified when detection module detected parameters modify instruction is non-automatic algorithm modify instruction.
Revise state setting module 311, be used for all system parameters correspondences are arranged a common modification state; Or each system parameters correspondence is arranged a modification state; Or a part of system parameters correspondence arranges a modification state.
Exemplary, the corresponding modification state of a part of system parameters that can automation function in self-organizing network is identical.
Can be tending towards so no need to carry out varigrained division to system parameters, obtains precise modification or obtains revising the most fast so that system parameters is asked as required.
The device that the parameter management that the present embodiment provides is coordinated can by parameter management coordination, the method work of using above-described embodiment to provide, not repeat them here.
The device that the parameter management that the present embodiment provides is coordinated, when detection module detects the automatic algorithms modify instruction, obtain the modification state of the system parameters of automatic algorithms modify instruction requirement modification, and operate accordingly according to different modification states, avoided the automatic algorithms modify instruction with manual amendment's returning type modification as a result, the confusion of also having avoided different automatic algorithms modify instructions to revise simultaneously causing is revised phenomenon, and then has improved speed and the accuracy that system parameters is processed.
One of ordinary skill in the art will appreciate that: all or part of step that realizes said method embodiment can be completed by the hardware that program command is correlated with, aforesaid program can be stored in a computer read/write memory medium, this program is carried out the step that comprises said method embodiment when carrying out; And aforesaid storage medium comprises: the various media that can be program code stored such as ROM, RAM, magnetic disc or CD.
The above; be only the specific embodiment of the present invention, but protection scope of the present invention is not limited to this, anyly is familiar with those skilled in the art in the technical scope that the present invention discloses; can expect easily changing or replacing, within all should being encompassed in protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection range of described claim.
Claims (20)
1. the method that parameter management is coordinated, is characterized in that, comprising:
Detect whether the parameter modification instruction that receives is the automatic algorithms modify instruction;
When described parameter modification instruction is the automatic algorithms modify instruction, obtain the modification state of the system parameters of described automatic algorithms modify instruction requirement modification;
If obtain the modification of described system parameters is revised by non-automatic algorithm modify instruction and completes according to the modification state of described system parameters, accepting described automatic algorithms modify instruction revises, wherein, described automatic algorithms modify instruction was revised according to described non-automatic algorithm the described system parameters parameter value of completing and is carried out reanalysing and the parameter modification optimization of system parameters before revising described system parameters; Perhaps
If obtain the modification of described system parameters is revised by the automatic algorithms modify instruction and completes according to the modification state of described system parameters, remodify described system parameters according to the described automatic algorithms modify instruction that receives, wherein, before described automatic algorithms modify instruction is remodifying described system parameters, if the automatic modify instruction priority that described modification is completed is higher than described automatic algorithms modify instruction, the system parameters completed according to described modification of described automatic algorithms modify instruction is carried out reanalysing and the parameter modification optimization of system parameters.
2. method according to claim 1, is characterized in that, the parameter modification instruction that described detection receives be for the automatic algorithms modify instruction after, also comprise:
When receiving more than one SON self-organizing network automatic algorithms modify instruction simultaneously, the priority of a more described above SON self-organizing network automatic algorithms modify instruction, the SON self-organizing network automatic algorithms modify instruction that priority is the highest is as described automatic algorithms modify instruction.
3. method according to claim 1, is characterized in that, after obtaining the modification state of the system parameters that described automatic algorithms modify instruction requirement revises, also comprises:
Accept other automatic algorithms modify instructions and modifying if obtain described system parameters according to the modification state of described system parameters, more revising the priority of the described automatic algorithms modify instruction of described other automatic algorithms modify instructions of system parameters and reception;
If described other automatic algorithms modify instruction priority of revising system parameters higher than the priority of the described automatic algorithms modify instruction that receives, are forbidden described automatic algorithms modify instruction described system parameters are modified;
If revising described other automatic algorithms modify instruction priority of system parameters lower than the priority of the described automatic algorithms modify instruction that receives, stop described other automatic algorithms modify instructions to the modification of described system parameters, accept described automatic algorithms modify instruction described system parameters is modified.
4. method according to claim 1, is characterized in that, after obtaining the modification state of the system parameters that described automatic algorithms modify instruction requirement revises, also comprises:
Accepting that described non-automatic algorithm modify instruction revises if obtain described system parameters according to the modification state of described system parameters, forbidding described system parameters is modified.
According to claim 1 to 4 described either method, it is characterized in that, described non-automatic algorithm modify instruction comprises:
Priority is higher than manual amendment's instruction of described automatic algorithms modify instruction.
According to claim 1 to 4 described either method, it is characterized in that, after the parameter modification instruction that detect to receive is the automatic algorithms modify instruction, also comprise:
Read the command identification source that described automatic algorithms modify instruction carries, so that according to the different priorities of the corresponding algorithm in command identification source, system parameters is modified;
Described command source sign comprises: automatic algorithms modified logo, manual amendment's sign, described automatic algorithms modified logo includes but not limited to: self-organizing network, self-organizing network mobility are optimized, the self-organizing network load balance is optimized, self-organizing network is energy-conservation, self-organizing network interference coordination, self-organizing network cell failure detection and compensation, self-organizing network cover and capacity optimization.
7. method according to claim 1, is characterized in that, also comprises:
If when detecting described parameter modification instruction and being non-automatic algorithm modify instruction, receive described non-automatic algorithm modify instruction described system parameters modified.
8. method according to claim 1, is characterized in that, described modification state comprises:
The corresponding common modification state of all system parameterss; Or
The corresponding modification state of each system parameters; Or
The corresponding modification state of part system parameters.
9. method according to claim 8, the corresponding modification state of described a part of system parameters comprises:
The corresponding modification state of a part of system parameters that in self-organizing network, automation function is identical.
According to claim 1 to 9 described either method, described system parameters is configuration parameter relevant to automatic function in self-organizing network, it is characterized in that, include but not limited to that the self-organizing network mobility is distributed parameter rationally, the self-organizing network load balance distributes parameter, the energy-conservation configuration parameter of self-organizing network, self-organizing network interference coordination configuration parameter, self-organizing network cell failure detection rationally and compensation configuration parameter, self-organizing network cover and capacity is distributed parameter rationally.
11. according to claim 1 to 9 described either method, it is characterized in that, described automatic algorithms modify instruction is the automatically order that described system parameters is adjusted of configuration in self-organizing network.
12. the device that parameter management is coordinated is characterized in that, comprising:
Whether detection module is the automatic algorithms modify instruction for detection of the parameter modification instruction that receives;
Revise state acquisition module, when being the automatic algorithms modify instruction for described parameter modification instruction, obtain the modification state of the system parameters of described automatic algorithms modify instruction requirement modification;
The first receiver module, be used for modification that modification state according to described system parameters obtains described system parameters and be by non-automatic algorithm modify instruction revise complete the time, accepting described automatic algorithms modify instruction revises, wherein, described automatic algorithms modify instruction was revised according to described non-automatic algorithm the described system parameters of completing and is carried out reanalysing and the parameter modification optimization of system parameters before revising described system parameters;
the second receiver module, be used for modification that modification state according to described system parameters obtains described system parameters and be being revised when completing by described automatic algorithms modify instruction, receive described automatic algorithms modify instruction and remodify described system parameters, wherein, before described automatic algorithms modify instruction is remodifying described system parameters, if the automatic modify instruction priority that described modification is completed is higher than described automatic algorithms modify instruction, the system parameters completed according to described modification of described automatic algorithms modify instruction is carried out reanalysing and the parameter modification optimization of system parameters.
13. device according to claim 12 is characterized in that, also comprises:
The first comparison module, be used for described detection module the parameter modification instruction that described detection receives be for the automatic algorithms modify instruction after, when receiving more than one SON self-organizing network automatic algorithms modify instruction, the priority of more described more than one SON self-organizing network automatic algorithms modify instruction, the SON self-organizing network automatic algorithms modify instruction that priority is the highest is as described automatic algorithms modify instruction.
14. device according to claim 12 is characterized in that, obtain the modification state of the system parameters that described automatic algorithms modify instruction requirement revises in described modification state acquisition module after, also comprises:
The second comparison module, the modification state that is used for described system parameters obtains described system parameters when accepting other automatic algorithms modify instructions, is more revising the priority of the described automatic algorithms modify instruction of described other automatic algorithms modify instructions of system parameters and reception;
Revise disabled module, be used for when described other automatic algorithms modify instruction priority of revising system parameters during higher than the priority of the described automatic algorithms modify instruction that receives, forbid that described automatic algorithms modify instruction modifies to described system parameters;
Revise receiver module, be used for when described other automatic algorithms modify instruction priority of revising system parameters during lower than the priority of the described automatic algorithms modify instruction that receives, stop described other automatic algorithms modify instructions to the modification of described system parameters, and accept described automatic algorithms modify instruction described system parameters is modified.
15. device according to claim 12, it is characterized in that, described modification disabled module also is used for after described modification state acquisition module is obtained the modification state of the system parameters that described automatic algorithms modify instruction requirement revises, when the modification state according to described system parameters obtains described system parameters and accepting described non-automatic algorithm modify instruction and revise, forbid described system parameters is modified.
16. according to claim 12 to 15 described arbitrary devices, it is characterized in that, described non-automatic algorithm modify instruction comprises that priority is higher than manual amendment's instruction of described automatic algorithms modify instruction.
17. according to claim 12 to 15 described arbitrary devices, it is characterized in that, also comprise:
Read module, be used at described detection module after the parameter modification instruction that detection receives is the automatic algorithms modify instruction, read the command identification source that described automatic algorithms modify instruction carries, so that according to the different priorities of the corresponding algorithm in command identification source, system parameters is modified;
The described command source sign that read module reads comprises: automatic algorithms modified logo, manual amendment's sign, described automatic algorithms modified logo comprises: self-organizing network, self-organizing network mobility are optimized, the self-organizing network load balance is optimized, self-organizing network is energy-conservation, self-organizing network interference coordination, self-organizing network cell failure detection and compensation, self-organizing network cover and capacity optimization.
18. described device, is characterized in that according to claim 12, also comprises:
The 3rd receiver module is used for receiving described non-automatic algorithm modify instruction described system parameters being modified when the described parameter modification instruction of described detection module detection is non-automatic algorithm modify instruction.
19. device according to claim 12 is characterized in that, also comprises:
Revise state setting module, be used for all system parameters correspondences are arranged a common modification state; Or
Each system parameters correspondence is arranged a modification state; Or
Part system parameters correspondence arranges a modification state.
20. device according to claim 19 is characterized in that, described modification state setting module arranges a modification state with a part of system parameters correspondence and comprises:
A part of system parameters correspondence that automation function in self-organizing network is identical arranges a modification state.
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| CN201110362013.XA CN103108363B (en) | 2011-11-15 | 2011-11-15 | A kind of method and device of parameter management coordination |
| PCT/CN2012/084269 WO2013071833A1 (en) | 2011-11-15 | 2012-11-08 | Parameter management and coordination method and device |
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| CN201110362013.XA CN103108363B (en) | 2011-11-15 | 2011-11-15 | A kind of method and device of parameter management coordination |
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| WO2016127773A1 (en) * | 2015-02-10 | 2016-08-18 | 中兴通讯股份有限公司 | Update method and device |
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| CN103108363B (en) | 2016-08-03 |
| WO2013071833A1 (en) | 2013-05-23 |
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