CN108632848A - Network is sliced self-optimizing coordination approach and device - Google Patents

Network is sliced self-optimizing coordination approach and device Download PDF

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Publication number
CN108632848A
CN108632848A CN201710166834.3A CN201710166834A CN108632848A CN 108632848 A CN108632848 A CN 108632848A CN 201710166834 A CN201710166834 A CN 201710166834A CN 108632848 A CN108632848 A CN 108632848A
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self
optimizing
network
coordination
network slice
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CN108632848B (en
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孙文琦
杨水根
陆伟
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Huawei Technologies Co Ltd
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Huawei Technologies Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/02Arrangements for optimising operational condition

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  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)
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Abstract

The present invention provides a kind of network slice self-optimizing coordination approach and devices.This method includes:Network is sliced self-optimizing coordination function and sends self-optimizing co-ordination message, self-optimizing of the self-optimizing co-ordination message for multiple network slice subnet self-optimization functions in coordination network slice subnet to network slice subnet self-optimization function;The network slice self-optimizing coordination function receives the self-optimizing that the network slice subnet self-optimization function is sent and coordinates result.

Description

Network is sliced self-optimizing coordination approach and device
Technical field
The present invention relates to the network slice self-optimizings in wireless communication field more particularly to a kind of wireless communication system to coordinate Method and apparatus.
Background technology
With the rapid development of wireless communication technique, the 5th generation (5th Generation;Referred to as:5G) wireless communication technique It has been the hot spot of current industry.5G will support diversified application demand, be experienced and bigger band including higher rate is supported Wide access capability, more low time delay and highly reliable information exchange and more extensive and inexpensive equipment for machine type communication Access and management etc..In addition, 5G will be supported towards the various vertical industry applications such as car networking, emergency communication, industry internet Scene.In face of these performance requirements of 5G and application scenarios, 5G networks need particular demands of being more close to the users, and customize ability It needs further to be promoted.
For this purpose, 5G, which introduces network, is sliced this key concept.One network slice is the multiple nets for realizing communication service The combination of network function and respective resources.5G networks are sliced by the various networks for meeting different concatenation abilities and are formed, and a network is cut Piece is the logical network for meeting a kind of or a use-case communication service demand.After Fig. 1 shows that introducing network is sliced concept 5G network scenarios, wherein containing critical machine class communication (Critical Machine Type Communication;Referred to as Critical MTC), large-scale machines class communicate (Massive Machine Type Communication;Abbreviation Massive ) and mobile broadband (Mobile Broad Band MTC;Abbreviation MBB) three kinds of use-cases communication.As shown in Figure 1,3GPP operators Network may include critical machine class communication network slice, large-scale machines class communication network slice and mobile broadband network slice, Wherein each network slice services the communication service of different use-cases.
The unified network platform utilizes dynamic, safe network slice support different function and quality of service requirement Communication service is one of the basic capacity of 5G networks.One network, which is sliced constituted logical network, to be sliced by the network Example realizes, i.e., constitutes a network slice by each network function for instantiating network slice and corresponding resource. In order to ensure that network slice energy normal operation, 5G networks are needed according to the situation (such as performance state and business demand) of network to net Network slice is optimized in real time.Wherein, network slice self-optimization techniques are a kind of property realized network and be sliced automatically to network The technology that can be monitored, manage and optimize.Specifically, network slice can while lasting offer service, automation Change configuration, flow, topology, Internet resources, service condition etc. to adapt to dynamic change.Network slice self-optimizing makes net Network slice is automatically to be optimized, and to avoid the influence to service as possible, reduces artificial participation to the greatest extent, reduces fortune Seek O&M cost of the quotient to network slice management.
Self-optimization techniques are achieved in that self-optimization function runs self-optimizing algorithm according to the situation of network substantially, then The parameter in network is configured according to the result of self-optimizing algorithm, achievees the purpose that performance optimizes.In a network due to depositing In multiple and different self-optimization functions, optimization purpose, Optimality Criteria and the optimization object of different self-optimization functions may be different, It will produce conflict when different self-optimization functions being caused to execute the result of respective optimization algorithm.How to coordinate multiple optimization functions into Row self-optimizing, guarantee do not generate self-optimizing conflict, and there has been no solutions appropriate at present.
Invention content
The embodiment of the present application provides a kind of the self-optimizing coordination approach and device of network slice, to be each of network slice Kind optimization function provides coordination, and the self-optimizing of Logistics networks slice does not generate conflict.
In a first aspect, the embodiment of the present application provides a kind of network slice self-optimizing coordination approach, which is characterized in that network is cut Piece self-optimizing coordination function sends self-optimizing co-ordination message, the self-optimizing co-ordination message to network slice subnet self-optimization function It is sliced the self-optimizing that multiple networks in subnet are sliced subnet self-optimization function for coordination network;The network slice is certainly Optimal coordination function receives the self-optimizing that the network slice subnet self-optimization function is sent and coordinates result.
In one possible implementation, the self-optimizing co-ordination message include self-optimizing coordinate configuration message and/or Self-optimizing is coordinated to solve message;The self-optimizing coordination configuration message is used to indicate the network slice subnet self-optimization function and exists Before executing self-optimizing, self-optimizing arithmetic result is reported to network slice self-optimizing coordination function;The self-optimizing is coordinated It solves message and is used to indicate the network slice subnet self-optimization function execution self-optimizing coordination solution.
In one possible implementation, the network slice self-optimizing coordination function is sending self-optimizing co-ordination message Before, this method further includes:The network slice self-optimizing coordination function is obtained from optimal coordination strategy, and determination is coordinated Self-optimization function and parameter.
In one possible implementation, the network slice self-optimizing coordination function is sending self-optimizing coordination solution Before message, this method further includes:Network slice self-optimizing coordination function is according to the self-optimizing coordination strategy, and decision is from excellent Change and coordinates.
Therefore, self-optimizing coordination approach is sliced according to the network of the embodiment of the present application, it can be achieved that when network slice subnet is real When example is shared by multiple networks slice example, heterogeneous networks be sliced network slice subnet example caused by the optimisation strategy of example from Self-optimizing when optimization generates conflict is coordinated to solve;It can also be achieved the multiple networks slice subnet being sliced when a network in example Self-optimizing when example self-optimizing generates conflict is coordinated to solve.
Second aspect, the embodiment of the present application provide a kind of network slice self-optimizing coordination approach, and this method includes:Network is cut Piece subnet self-optimization function receives the self-optimizing co-ordination message that network slice self-optimizing coordination function is sent;Network slice Net self-optimization function carries out self-optimizing Coordination Treatment according to the self-optimizing co-ordination message;The network is sliced subnet self-optimizing work( It can be sliced self-optimizing coordination function to the network and send self-optimizing Coordination Treatment result.
In one possible implementation, the self-optimizing co-ordination message include self-optimizing coordinate configuration message and/or Self-optimizing is coordinated to solve message;The self-optimizing coordination configuration message is used to indicate the network slice subnet self-optimization function and exists Before executing self-optimizing, self-optimizing arithmetic result is reported to network slice self-optimizing coordination function;The self-optimizing is coordinated It solves message and is used to indicate the network slice subnet self-optimization function execution self-optimizing coordination solution.
In one possible implementation, the self-optimizing Coordination Treatment includes operation self-optimizing algorithm and/or execution Self-optimizing is coordinated to solve.
In one possible implementation, the network slice subnet self-optimization function is receiving the self-optimizing association After message is set in allotment, self-optimizing algorithm is run, and the self-optimizing algorithm is reported to network slice self-optimizing coordination function Result.
In one possible implementation, the network slice subnet self-optimization function is receiving the self-optimizing association It reconciles after determining message, executes self-optimizing and coordinate to solve, and the self-optimizing is reported to network slice self-optimizing coordination function Coordinate the result solved.
Therefore, self-optimizing coordination approach is sliced according to the network of the embodiment of the present application, it can be achieved that when network slice subnet is real When example is shared by multiple networks slice example, heterogeneous networks be sliced network slice subnet example caused by the optimisation strategy of example from Self-optimizing when optimization generates conflict is coordinated to solve;It can also be achieved the multiple networks slice subnet being sliced when a network in example Self-optimizing when example self-optimizing generates conflict is coordinated to solve.
The third aspect, the embodiment of the present application provide a kind of network slice self-optimizing coordination approach, which is characterized in that network is cut Piece self-optimizing coordination function sends self-optimizing coordination strategy to network slice subnet self-optimizing coordination function;The network slice is certainly Optimal coordination function receives the self-optimizing that the network slice subnet self-optimizing coordination function is sent and coordinates result.
In one possible implementation, the self-optimizing coordination strategy includes at least one of the following:Between NSI Self-optimizing priority;When one NSI of self-optimizing, different self-optimization functions, self-optimizing parameter priority;Detection is needed to generate The parameter of conflict, such as NSSI capacity;There may be the different parameters of conflict, such as when self-optimizing mobility support and self-optimizing Prolong.
In one possible implementation, the network slice self-optimizing coordination function is sending self-optimizing coordination strategy Before, this method further includes:The network slice self-optimizing coordination function is obtained from optimal coordination strategy.
Therefore, self-optimizing coordination approach is sliced according to the network of the embodiment of the present application, it can be achieved that a network is sliced example Multiple networks slice subnet self-optimization function self-optimizing of Different Optimization purpose generates in interior network slice example subnet Self-optimizing when conflict is coordinated to solve.
4th fermentation, the embodiment of the present application provide a kind of network slice self-optimizing coordination approach, which is characterized in that network is cut Piece subnet self-optimizing coordination function receives the self-optimizing coordination strategy that network slice self-optimizing coordination function is sent;The network is cut Piece subnet self-optimizing coordination function carries out self-optimizing coordination according to self-optimizing coordination strategy;The network is sliced subnet self-optimizing Coordination function sends self-optimizing to network slice self-optimizing coordination function and coordinates result.
Therefore, self-optimizing coordination approach is sliced according to the network of the embodiment of the present application, it can be achieved that a network is sliced example Multiple networks slice subnet self-optimization function self-optimizing of Different Optimization purpose generates in interior network slice example subnet Self-optimizing when conflict is coordinated to solve.
5th aspect, provides a kind of communication device, for executing first to the third aspect or first to the third aspect Method in any possible realization method, specifically, the communication device may include for executing first to the third aspect Or the unit of the method in first to any possible realization method of the third aspect.
6th aspect provides a kind of communication device, including memory and processor, and the memory is for storing computer Program, the processor from memory for calling and running the computer program so that communication equipment executes first to third Method in aspect or first to any possible realization method of the third aspect.
7th aspect, provides a kind of computer program product, the computer program product includes:Computer program generation Code, when the computer program code is by the communication unit of communication equipment (for example, the network equipment or Network Management Equipment), processing unit Or transceiver, processor are when running so that it is any to the third aspect or first to the third aspect that communication equipment executes first Method in possible realization method.
Eighth aspect, provides a kind of computer readable storage medium, and the computer-readable recording medium storage has journey Sequence, described program make user equipment execute first to the third aspect or first to any possible realization side of the third aspect Method in formula.
These and other aspects of the invention can more straightforward in the description of following (multiple) embodiments.
Description of the drawings
The attached drawing used in the embodiment of the present application or description of the prior art is briefly described below:
Fig. 1 is a kind of 5G network scenarios provided by the embodiments of the present application;
Fig. 2 is a kind of possible network slice management framework schematic diagram provided by the embodiments of the present application;
Fig. 3 is a kind of possible network slice self-optimizing coordination architecture schematic diagram provided by the embodiments of the present application;
Fig. 4 is that flow diagram is coordinated in a kind of possible network slice self-optimizing provided by the embodiments of the present application;
Fig. 5 is alternatively possible network slice self-optimizing coordination architecture schematic diagram provided by the embodiments of the present application;
Fig. 6 is another possible network slice self-optimizing coordination architecture schematic diagram provided by the embodiments of the present application;
Fig. 7 is that flow diagram is coordinated in alternatively possible network slice self-optimizing provided by the embodiments of the present application;
Fig. 8 is a kind of structural schematic diagram of network slice self-optimizing coordination function provided by the embodiments of the present application;
Fig. 9 is another structural schematic diagram of network slice self-optimizing coordination function provided by the embodiments of the present application;
Figure 10 is a kind of structural schematic diagram of network slice subnet self-optimizing coordination function provided by the embodiments of the present application;
Figure 11 is another structural schematic diagram of network slice subnet self-optimizing coordination function provided by the embodiments of the present application;
Figure 12 is a kind of structural schematic diagram of network slice subnet self-optimization function provided by the embodiments of the present application;
Figure 13 is another structural schematic diagram of network slice subnet self-optimization function provided by the embodiments of the present application.
Specific implementation mode
Below in conjunction with the attached drawing in the embodiment of the present application, the embodiment of the present application is described.
In this application, " exemplary " word is used for indicating " being used as example, illustration or explanation ".Described herein as Any embodiment of " exemplary " is not necessarily to be construed as or more advantage more more preferable than other embodiments.In order to make this field appoint What technical staff can realize and use the present invention, give and be described below.In the following description, it arranges for purposes of explanation Details is gone out.It should be appreciated that those skilled in the art will realize that without using these specific details the case where Under can also realize the present invention.In other examples, well known structure and process will not be described in detail, to avoid need not The details wanted makes description of the invention become obscure.Therefore, the present invention be not intended to be limited to shown in embodiment, but with meet The widest scope of principle and feature disclosed in the present application is consistent.
Term " first ", " second ", " third " " in description and claims of this specification and above-mentioned attached drawing The (if present)s such as four " are for distinguishing similar object, without being used to describe specific sequence or precedence.It should manage The data that solution uses in this way can be interchanged in the appropriate case, so as to the embodiment of the present invention described herein can in addition to Here the sequence other than those of diagram or description is implemented.In addition, term " comprising " and " having " and their any deformation, Be intended to cover it is non-exclusive include, for example, containing the process of series of steps or unit, method, system, product or setting It is standby those of to be not necessarily limited to clearly to list step or unit, but may include not listing clearly or for these mistakes The intrinsic other steps of journey, method, product or equipment or unit.
The terms " system " and " network " are often used interchangeably herein.The terms "and/or", only It is a kind of incidence relation of description affiliated partner, indicates may exist three kinds of relationships, for example, A and/or B, can indicate:Individually There are A, exist simultaneously A and B, these three situations of individualism B.In addition, character "/" herein, typicallys represent forward-backward correlation pair Like a kind of relationship of "or".
Technical scheme of the present invention is described in detail with specifically embodiment below.These specific implementations below Example can be combined with each other, and same or analogous concept or process may be repeated no more in some embodiments.
As a key characteristic of 5G, 5G networks can be divided into multiple network slices.One network is sliced (Network Slice;Abbreviation NS) logical network is corresponded to, which is used to meet the communication service demand of a use-case.One net Network is sliced by one or more network functions (Network Function;Abbreviation NF) composition, and example is sliced by network (Network Slice Instance;Abbreviation NSI) it realizes, i.e., by each network function that instantiates network slice and right The resource and configuration answered are sliced to constitute a network.One network is sliced can be sliced example comprising at least one network, and one A network slice example can also include that multiple networks are sliced subnet example, and each network slice subnet example is that a network is cut The component part of piece example.Different network slice examples and/or network slice subnet example can have different network functions And/or the configuration of resource.The self-optimizing of network slice includes network slice example and/or network slice subnet example from excellent Change, the self-optimizing of different networks slice example and/or network slice subnet example is likely to result in conflict, so that from excellent The performance of change substantially reduces, and how to coordinate the self-optimizing of heterogeneous networks slice example and/or network slice subnet example, to from excellent Guarantee of the change technology in the application of network slice management.
In order to make it easy to understand, first introducing some herein presented terms.
Network is sliced (Network Slice;Abbreviation NS):Refer on network infrastructure physically or a virtually, root Different logical network is customized according to different demands for services.It includes terminal, access net, transmission that network slice, which can be one, The complete end to end network of net, core net and application server, is capable of providing telecommunications service, has certain network capabilities;Net Network slice can also be above-mentioned terminal, access the arbitrary combination of net, transmission network, core net and application server, for example, network is cut Piece includes only access net and core net.Network slice may have following one or more characteristics:Access net may be sliced, and also may be used It can not be sliced.Access net may be that multiple network slices are shared.The characteristic of different NS and the network function for forming the NS may It is different.
Network function (Network Function;Abbreviation NF):It is a kind of processing function in network, defines functionality Behavior and interface, network function can be realized by specialized hardware, can also by specialized hardware runs software realize, It can also be realized in the form of virtual functions on general hardware platform.It, can be by network function point from the point of view of realization For physical network function and virtual network function.From the point of view of use, NF can be divided into exclusive NF and shared NF.As a NF It is pertaining only to a network slice example or network slice subnet example, then the NF is exclusive NF;When a NF belongs to multiple networks It is sliced example or network is sliced subnet example, then the NF is shared NF.
Network is sliced example (Network Slice Instance;Abbreviation NSI):One logical network really run, Certain network characteristic or demand for services can be met.One network slice example may provide one or more services.Network is sliced Example can be created by network management system, and a network management system may create multiple network slice examples and carry out pipe to them simultaneously Reason, performance monitoring and the fault management etc. being included in network slice example operational process.When multiple networks slice example coexists When, network may share partial network resource and network function between being sliced example.Network slice example may be sliced from network Template creates, it is also possible to not created from network slice template.One complete network slice example is to be capable of providing complete end To the network service at end, and that network consisting slice example can be sub-network slice example (network slice Subnet instance) and/or network function.Network function may include physical network function and/or virtual network function. Hereinafter referred to as physical network function and/or virtual network function are network function.
Network is sliced subnet example (Network Slice Subnet Instance;Abbreviation NSSI):It can need not carry For complete network service end to end, NSSI can be the network function composition set of the same equipment vendor in NSI, it is also possible to It is the set of the network function divided by domain, such as the network slice example that the network slice example of core net, access are netted, or by Other modes composition set.NSSI may be shared by multiple NSI.One NSI may include multiple NSSI, and each NSSI includes extremely A few network function and/or it is embedded in the one or more of the NSSI other NSSI;One NSI may include at least one NSSI and/or at least one network function;One NSI can also only include at least one NF.
Fig. 2 shows a kind of possible networks to be sliced management framework schematic diagram.As shown in Fig. 2, network is sliced management function It may include Service Management Function (Service Management Function;Abbreviation SvMF), network be sliced management function (Network Slice Management Function;Abbreviation NSMF) and network slice subnet management function (Network Slice Subnet Management Function;Abbreviation NSSMF).Wherein, SvMF is mainly responsible for operator and/or The telecommunications service demand of tripartite client is converted into the demand to NS, and demand to NS is sent to NSMF, receives operator and/or the Tripartite client obtains the subscription demand of NS management data (such as performance data, fault data, fault restoration data etc.) from NSMF Take the management data etc. of NS.NSMF is mainly responsible for the NS demands that SvMF is sent that receive, to the life cycle, performance, failure etc. of NSI It is managed, the composition of layout NSI, the demand for decomposing NSI is the demand of each NSSI, and NSSI management requests are sent to each NSSMF Deng.NSSMF receives the demand to NSSI from NSMF, to be managed to the life cycle, performance, failure etc. of NSSI, layout The composition etc. of NSSI.
Fig. 3 shows a kind of possible network slice self-optimizing coordination architecture schematic diagram.Network is sliced self-optimizing and coordinates work( It can (Network Slice Self-Optimization Coordination Function;Abbreviation NS_SO_COF) it is located at In NSMF, it is responsible for coordinating the network slice self-optimizing in network, specifically at least one network slice example Multiple self-optimization functions coordinated, and/or at least one self-optimization function shared to multiple networks slice example carries out Coordinate.The function of NS_SO_COF includes at least one of the following:The self-optimizing association that network is sliced is received from operator or SvMF Adjust strategy, such as priority between NSI, the priority between self-optimization function;According to the self-optimizing coordination strategy of acquisition, with And all self-optimization function information, it calculates and is applied to the self-optimizing coordination strategy of itself, such as which self-optimization function is needed Coordinated, which Optimal Parameters etc. should be coordinated;It is interacted with self-optimization function, notifies the self-optimizing work(that may be clashed Can, so that self-optimization function is executed self-optimizing result, the forward direction NS_SO_COF of modification NSSI configurations reports optimization algorithm result;Into Row self-optimizing is coordinated, and notifies self-optimization function, if is able to carry out optimum results etc..Network is sliced subnet and optimizes function (Network Slice Subnet Self-Optimization Function;Abbreviation NSS_SO_F) it is located in NSSMF, it bears Duty carries out self-optimizing to NSSI.Illustratively, different NSS_SO_F can have a different self-optimizing purposes, such as capacity is from excellent The NSS_SO_F of change is used to be promoted the capacity of network slice subnet, loads the NSS_SO_F of self-optimizing for improving network slice The load etc. of net.Different NSS_SO_F can also be self-optimizing purpose having the same but optimisation strategy is different, such as first Capacity self-optimizing NSS_SO_F is the capacity for optimizing corresponding first NSSI according to the optimisation strategy of the first NSI, the second capacity Self-optimizing NSS_SO_F is the capacity etc. for optimizing corresponding 2nd NSSI according to the optimisation strategy of the 2nd NSI.Illustrated in Figure 3 The corresponding scene of network slice self-optimizing coordination architecture is the scene that a NSSI is shared by multiple NSI.As shown in figure 3, NSSMF Include the first NSS_SO_F (hereinafter simply referred to as " NSS_SO_F1 ") and the 2nd NSS_SO_F (hereinafter simply referred to as " NSS_SO_ F2”).The NSSI that wherein NSSMF is managed is the NSSI that multiple NSI share, and NSS_SO_F1 is share the NSSI first NSI is used to optimize the function of the NSSI;NSS_SO_F2 is to share the 2nd NSI of the NSSI to be used to optimize the function of the NSSI.Show Example property, which is shared by the first NSI and the 2nd NSI, and the first NSI is to the optimisation strategy of the NSSI with the 2nd NSI to this The optimisation strategy of NSSI is different, therefore NSS_SO_F1 may to the optimization of the NSSI to the optimization of the NSSI and NSS_SO_F2 Generate conflict, such as NSS_SO_F1 self-optimizings to the modification demand of the configuration parameter of the NSSI and NSS_SO_F2 self-optimizings to this The modification demand of the configuration parameter of NSSI is different, causes to generate conflict to the configuration of NSSI after respectively executing self-optimizing.This In the case of, NS_CO_COF is responsible for coordinating the optimization of NSS_SO_F1 and NSS_SO_F2, avoids issuable conflict.It should be understood that It includes two NSS_SO_F that Fig. 3, which schematically describes NSSMF,;In real network, a NSSMF may include at least one NSS_SO_F;Different NSS_SO_F can be the self-optimization function for belonging to a NSI, can also be the NSI for belonging to different Self-optimization function, the embodiment of the present application are not construed as limiting this.Similarly, Fig. 3 schematically describes NSMF and pass NSSMF Connection;In real network, NSMF can be associated with at least one NSSMF;Different NSSMF can be the pipe for belonging to a NSI Function is managed, can also be the management function for the NSI for belonging to different, the embodiment of the present application is not construed as limiting this.
Show that a kind of possible network slice self-optimizing provided by the embodiments of the present application is coordinated flow and shown in conjunction with Fig. 3, Fig. 4 It is intended to.Flow described in Fig. 4 can be applied to the coordination that self-optimization function is sliced to the network of multiple NSI NSSI shared, including such as Lower step:
401, NS_SO_COF obtains network and is sliced self-optimizing coordination strategy.
Optionally, NS_SO_COF receives the coordination strategy that network is sliced self-optimizing from operator, can be transported from operator Dimension personnel or a management module such as SvMF or other management modules receive.Network is sliced self-optimizing coordination strategy At least one of the following:Self-optimizing priority between NSI;When one NSI of self-optimizing, different self-optimization functions, self-optimizing The priority of parameter;Detection is needed to generate the parameter of conflict, such as NSSI capacity;There may be the different parameters of conflict, such as Self-optimizing mobility support and self-optimizing time delay etc..
402, NS_SO_COF determines the NSS_CO_F and Optimal Parameters coordinated.
NS_SO_COF determines that there may be the self-optimizings of conflict after receiving the conflict-solving strategy from operator Function and relevant parameter, such as determine that there may be punchings when NSS_SO_F1 carries out self-optimizing and NSS_SO_F2 progress self-optimizings It is prominent.
403, NS_SO_COF sends self-optimizing to NSS_SO_F and coordinates to configure message.
Wherein, the self-optimizing coordination configuration message is used to indicate NSS_SO_F before executing self-optimizing, self-optimizing Arithmetic result is reported.After i.e. instruction NSS_SO_F runs self-optimizing algorithm according to the situation of the NSSI of its self-optimizing, no Execute the self-optimizing algorithm as a result, but report the result of the self-optimizing algorithm to NS_SO_COF.
In this step, NS_SO_COF can be to multiple NSS_ of at least one of its multiple NSI managed NSSI CO_F sends self-optimizing and coordinates configuration information.
404, NSS_SO_F runs liberalization algorithm.
In this step, it receives self-optimizing in step 403 and coordinates multiple NSS_SO_F of configuration message according to it from excellent The situation of the NSSI of change runs liberalization algorithm.Specifically, the NSSI of the NSS_SO_F institutes self-optimizing is reaching NSS_SO_F certainly When optimal conditions, NSS_SO_F runs liberalization algorithm, which is used to optimize the particular characteristic of NSS_SO_F.For example, working as When the capacity of NSSI is reduced to a preset threshold value, the network slice subnet capacity self-optimization function operation for triggering the NSSI is held Measure self-optimizing algorithm.
405, NSS_SO_F reports self-optimizing arithmetic result to NS_SO_COF.
406, NS_SO_COF coordinates according to self-optimizing coordination strategy, decision self-optimizing.
In this step, NS_SO_COF judges the self-optimizing arithmetic result that multiple NSS_SO_F are reported, multiple When the optimum results of NSS_SO_F will produce conflict, the decision of self-optimizing coordination is carried out.For example, if NSS_SO_F1 in figure Self-optimizing result can and NSS_SO_F2 self-optimizing result generate conflict, and in self-optimizing coordination strategy NSS_CO_F1 from Optimize the self-optimizing priority that priority is higher than NSS_SO_F2, then the self-optimizing coordinated decision of NS_SO_COF can preferentially be allowed NSS_SO_F1 executes self-optimizing, and NSS_SO_F2 is allowed not execute self-optimizing.Or the self-optimizing coordinated decision of NS_SO_COF can be with A kind of self-optimizing that NSS_SO_F1 and NSS_SO_F2 can receive is selected as a result, realizing the compromise of the two self-optimizing result. Illustratively, NSS_SO_F1 instructions expand NSSI capacity to the 120% of current capacities in figure, and maximum size is more than current hold 200%, the NS_SO_COF that 150%, the NSS_SO_F2 instructions of amount expand NSSI capacity to current capacities can select a kind of folding In as a result, for example expanding NSSI capacity to the 150% of current capacities.
407, NS_SO_COF sends self-optimizing to NSS_SO_F and coordinates to solve message, and instruction NSS_SO_F executes self-optimizing Coordinate to solve.
In this step, the self-optimizing coordination settling mode of decision in step 406 is sent to NSS_SO_ by NS_SO_COF F coordinates to solve so that NSS_SO_F executes self-optimizing.Illustratively, if the self-optimizing result and NSS_SO_ of NSS_SO_F1 The self-optimizing result of F2 clashes and the self-optimizing priority of NSS_SO_F1 is higher than NSS_SO_F2 self-optimizing priority, then exists In the step, NS_SO_COF can indicate that NSS_SO_F1 executes its self-optimizing arithmetic result, and instruction NSS_SO_F2 does not execute it Self-optimizing arithmetic result.In another example the self-optimizing arithmetic result of NSS_SO_F1 is to expand NSSI capacity to current capacities 120%, and it is to expand NSSI capacity extremely that maximum size, which is more than the self-optimizing arithmetic result of 150%, NSS_SO_F2 of current capacities, The 200% of current capacities, then in this step, NS_SO_COF can indicate that NSS_SO_F1 and NSS_SO_F2 adjust execution Respective self-optimizing algorithm so that expand NSSI capacity to the 150% of current capacities.
408, NSS_SO_F executes self-optimizing and coordinates to solve.
In this step, NSS_SO_F coordinates to solve the instruction in message according to the self-optimizing of reception, executes self-optimizing association Conciliation is determined.Specifically, the execution which coordinates to solve may include execution self-optimizing algorithm as a result, can also include not Execute self-optimizing algorithm as a result, can also include adjustment execute self-optimizing algorithm result.Illustratively, if NSS_SO_ The self-optimizing result of F1 and the self-optimizing result of NSS_SO_F2 clash and the self-optimizing priority of NSS_SO_F1 is higher than NSS_SO_F2, then in this step, NSS_SO_F1 can execute its self-optimizing arithmetic result according to the instruction of NSS_SO_COF, The instruction that NSS_SO_F2 can thoroughly do away with NSS_SO_COF does not execute its self-optimizing arithmetic result.In another example NSS_SO_F1 from excellent It is to expand NSSI capacity to the 120% of current capacities, and maximum size is more than 150%, NSS_ of current capacities to change arithmetic result The self-optimizing arithmetic result of SO_F2 be expand NSSI capacity to the 200% of current capacities, then in this step, NSS_SO_F1 and NSS_SO_F2 can be adjusted according to the instruction of NSS_SO_COF and be executed respective self-optimizing algorithm so that expand NSSI capacity to working as The 150% of preceding capacity.
409, NSS_SO_F reports self-optimizing to coordinate result to NS_SO_COF.
A in this step, implementing result is reported to NS_SO_ by NSS_SO_F after executing self-optimizing and coordinating to solve COF.Optionally, if NSS_SO_F is not carried out its self-optimizing arithmetic result, in this step, NSS_ in a step 408 SO_F can not have to report to NS_SO_COF yet.
Optionally, after receiving the self-optimizing that NSS_SO_F is reported and coordinating result, NS_SO_COF can be to operator Self-optimizing is reported to coordinate the result solved.
Through the above steps, the embodiment of the present application can be realized when NSSI is shared by multiple NSI, the optimisation strategy of different NSI Self-optimizing when caused NSSI self-optimizings generate conflict is coordinated to solve.
Fig. 5 shows alternatively possible network slice self-optimizing coordination architecture schematic diagram, and corresponding is in a NSI Multiple NSSI between network slice self-optimizing coordinate scene.In this scenario, multiple NSSI in a NSI have respectively Network be sliced self-optimization function, on different NSSMF for optimize different NSSI multiple NSS_SO_F generate result It may influence each other, cause to optimize repeatedly, such as configuration etc. repeatedly is carried out to the parameter of NSSI.As shown in figure 5, the first NSSI First NSSMF includes (hereinafter simply referred to as " NSSMF1 ") the first NSS_SO_F (hereinafter simply referred to as " NSS_SO_F1 ");Second The 2nd NSSMF of NSSI includes (hereinafter simply referred to as " NSSMF2 ") the 2nd NSS_SO_F (hereinafter simply referred to as " NSS_SO_F2 "). Wherein NSSMF1 manages the first NSSI, and NSSMF2 manages the 2nd NSSI;NSS_SO_F1 is that the NSI is used for the first NSSI of self-optimizing Function;NSS_SO_F2 is the function that the NSI is used for the 2nd NSSI of self-optimizing.
The network slice self-optimizing that self-optimizing coordination architecture is sliced in conjunction with network shown in fig. 5 is coordinated described in flow and Fig. 4 Flow diagram is similar, and details are not described herein.It is for the main distinction of the flow and Fig. 4 flows of the scene:One In the scene that network slice self-optimizing between multiple NSSI in a NSI is coordinated, NSS_SO_F1 is to be located at the first NSSI of management NSSMF1 in, NSS_SO_F2 be located at management the 2nd NSSI NSSMF2 in, and NS_SO_COF obtain self-optimizing plan Slightly it is for the self-optimizing coordination strategy between multiple NSSI under the NSI.Specific self-optimizing coordination strategy is in addition to Fig. 4 flows Outside example in step, it also may include the self-optimizing coordination strategy for different NSSI, such as when different NSS_SO_F is from excellent Change result there may be when the priority difference of conflict and each NSS_SO_F, the optimisation strategy of NS_SO_COF may indicate that respectively NSS_SO_F executes respective self-optimizing arithmetic result according to priority orders.Illustratively, the priority of NSS_SO_F1 is high In the priority of NSS_SO_F2, then NSS_SO_COF may indicate that NSS_SO_F1 first carries out its self-optimizing arithmetic result pair first NSSI carries out self-optimizing, is transported after NSS_SO_F1 completes to the self-optimizing of the first NSSI, then by NSS_SO_F2 couples of the 2nd NSSI It calculates self-optimizing algorithm and executes the self-optimizing to the 2nd NSSI.
Through the above steps, the embodiment of the present application can be realized when multiple NSSI self-optimizings in a NSI generate conflict Self-optimizing coordinate solve.
Fig. 6 shows another possible network slice self-optimizing coordination architecture schematic diagram.It is in a NSI that its is corresponding A NSSI in multiple NSS_SO_F between network slice self-optimizing coordinate scene.In this scenario, there is difference The NSS_SO_F of self-optimizing purpose is located on a NSSMF, a NSSI in one NSI of self-optimizing.Due to different NSS_ The optimization purpose of SO_F is different, and different NSS_SO_F self-optimizing results may be caused to generate conflict.Further, since different The same NSSI of NSS_SO_F self-optimizings, therefore NSS_SO_F self-optimizings coordination solution can be complete in the SSMF of a NSSI At.As shown in fig. 6, the NSMF of NSI includes NS_SO_COF;The NSSMF of NSSI includes NSS_SO_COF, wherein NS_SO_ COF is used to self-optimizing coordination strategy passing to NSS_SO_COF, indicates to complete in its corresponding NSSI not by NSS_SO_COF Self-optimizing with NSS_SO_F is coordinated to solve.
Show that flow is coordinated in alternatively possible network slice self-optimizing provided by the embodiments of the present application in conjunction with Fig. 6, Fig. 7 Schematic diagram.Flow described in Fig. 7 can be applied to multiple networks slice self-optimization function association in a NSSI in a NSI It adjusts, comprises the following steps:
701, NS_SO_COF obtains self-optimizing conflict coordination strategy.
Optionally, NS_SO_COF receives the coordination strategy that network is sliced self-optimizing from operator, can be transported from operator Dimension personnel or a management module such as SvMF or other management modules receive.Network is sliced self-optimizing coordination strategy At least one of the following:Self-optimizing priority between NSI;When one NSI of self-optimizing, different self-optimization functions, self-optimizing The priority of parameter;Detection is needed to generate the parameter of conflict, such as NSSI capacity;There may be the different parameters of conflict, such as Self-optimizing mobility support and self-optimizing time delay etc..
702, NS_SO_COF sends self-optimizing coordination strategy to NSS_SO_COF.
It should be understood that being directed to different NSSI, NS_SO_COF has different self-optimizing coordination strategies.In this step, NS_ Each NSS_SO_COFs of the SO_COF at least one NSS_SO_COF is sent to be assisted with the relevant self-optimizings of the NSS_SO_COF Adjust strategy.
703, NSS_SO_COF carries out self-optimizing coordination according to self-optimizing coordination strategy.
In this step, NSS_SO_COF with its belonging to NSSMF in multiple NSS_SO_F interact, realize network It is sliced self-optimizing Coordination Treatment.Specifically, NSS_SO_COF with its belonging to NSSMF in the interaction of multiple NSS_SO_F can join Embodiment step 402 is stated before examination to step 409, and details are not described herein.
704, NSS_SO_COF reports self-optimizing to coordinate result to NS_SO_COF.
A in this step, implementing result is reported to NS_SO_ by NSS_SO_COF after executing self-optimizing and coordinating to solve COF。
Optionally, after receiving the self-optimizing that NSS_SO_COF is reported and coordinating result, NS_SO_COF can be to operation Quotient reports self-optimizing to coordinate the result solved.
Through the above steps, the embodiment of the present application can realize the more of Different Optimization purpose in a NSSI in a NSI Self-optimizing when a NSS_CO_F self-optimizings generate conflict is coordinated to solve.
It should be understood that the title that each step involved in the application above method embodiment executes entity is exemplary, Other titles can also be used in real network.For example, the entity with network slice self-optimizing coordination function is properly termed as Network slice self-optimizing coordination function is referred to as self-optimizing coordination function, can also be known as self-optimizing coordinator etc., this Shen Please embodiment this is not construed as limiting.Similarly, each step executes the information between entity in the application above method embodiment Interactive message name is also exemplary, and other message names can also be used in real network.For example, with configuration The message that self-optimizing is coordinated is properly termed as self-optimizing and coordinates configuration message, is referred to as self-optimizing configuration message, can also claim Coordinate instruction message etc. for self-optimizing, the embodiment of the present application is not construed as limiting this.
In the above-described embodiments, can come wholly or partly by software, hardware, firmware or its arbitrary combination real It is existing.When implemented in software, it can entirely or partly realize in the form of a computer program product.The computer program Product includes one or more computer instructions.When loading on computers and executing the computer program instructions, all or It partly generates according to the flow or function described in the embodiment of the present application.The computer can be all-purpose computer, special meter Calculation machine, computer network or other programmable devices.The computer instruction can be stored in computer readable storage medium In, or from a computer readable storage medium to the transmission of another computer readable storage medium, for example, the computer Instruction can pass through wired (such as coaxial cable, optical fiber, number from a web-site, computer, server or data center User's line (DSL)) or wireless (such as infrared, wireless, microwave etc.) mode to another web-site, computer, server or Data center is transmitted.The computer readable storage medium can be any usable medium that computer can access or It is comprising data storage devices such as one or more usable mediums integrated server, data centers.The usable medium can be with It is magnetic medium, (for example, floppy disk, hard disk, tape), optical medium (for example, DVD) or semiconductor medium (such as solid state disk Solid State Disk (SSD)) etc..Professional technician can be realized each specific application using distinct methods Described function, but this realization is it is not considered that the range beyond present patent application.
The application, which further provides, realizes the device embodiment of each step and method in above method embodiment.It is worth noting , device embodiment can be used cooperatively with the above method, can also be used alone.
Fig. 8 is the structural schematic diagram of NS_SO_COF provided by the embodiments of the present application a kind of.As shown in figure 8, the NS_SO_ COF 800 includes processor 801, memory 802 and communication interface 803.Processor 801 is connected to memory 802 and communication Interface 803, such as processor 801 can be connected to memory 802 and communication interface 803 by bus.In the embodiment of the present application NS_SO_COF can be located at NSMF in, can also be that can also be NSMF independently of existing for NSMF.
Processor 801 is configured as that NS_SO_COF is supported to execute corresponding function in the above method.The processor 801 can To be central processing unit (Central Processing Unit, abbreviation CPU), network processing unit (Network Processor, Abbreviation NP), hardware chip or its arbitrary combination.Above-mentioned hardware chip can be application-specific integrated circuit (Application- Specific Integrated Circuit, abbreviation ASIC), programmable logic device (Programmable Logic Device, abbreviation PLD) or combinations thereof.Above-mentioned PLD can be Complex Programmable Logic Devices (Complex Programmable Logic Device, abbreviation CPLD), field programmable gate array (Field-Programmable Gate Array, letter Claim FPGA), Universal Array Logic (Generic Array Logic, abbreviation GAL) or its arbitrary combination.
Memory 802 be used to store NS_SO_COF need the signaling that sends and data and receive from NSS_SO_COF and/ Or the signaling and data etc. of NSS_SO_F.Memory 802 may include volatile memory (Volatile Memory), such as Random access memory (Random-Access Memory, abbreviation RAM);Memory 802 can also include non-volatile memories Device (Non-Volatile Memory), such as read-only memory (Read-Only Memory, abbreviation ROM), flash memory (Flash Memory), hard disk (Hard Disk Drive, abbreviation HDD) or solid state disk (Solid-State Drive, referred to as SSD);Memory 802 can also include the combination of the memory of mentioned kind.
Communication interface 803 is communicated for NS_SO_COF with NSS_SO_COF and/or NSS_SO_F, with the NSS_SO_ Involved signaling and data in the COF and/or NSS_SO_F transmitting-receiving above methods.
Processor 801 can execute following operation:
At least one of the following is executed by communication interface 803:Self-optimizing is sent to coordinate configuration message, receive self-optimizing Arithmetic result sends self-optimizing coordination solution message, coordinates plan received from optimal coordination result and transmission self-optimizing Slightly.Optionally, processor 801 determines that the self-optimization function coordinated and parameter, processor 801 pass through communication interface 803 receive the self-optimizing coordination strategy from operator or SvMF, and send self-optimizing to operator and coordinate result.Specifically Please refer to each step that NS_SO_COF is executed in the method for Fig. 3 to Fig. 7.
Fig. 9 is the structural schematic diagram of another kind NS_SO_COF provided by the embodiments of the present application.As shown in figure 9, the NS_SO_ COF 900 includes receiving module 901, processing module 902 and sending module 903.NS_SO_COF in the embodiment of the present application It can be located in NSMF, can also be that can also be NSMF independently of existing for NSMF.
Receiving module 901, self-optimizing arithmetic result and self-optimizing for receiving NSS_SO_F transmissions are coordinated to solve knot Fruit receives the self-optimizing that NSS_SO_COF is sent and coordinates result.Optionally, receiving module 901 for receive operator or The self-optimizing coordination strategy that SvMF is sent.
Processing module 902, for executing at least one of the following:It sends self-optimizing and coordinates configuration message, received from excellent Change arithmetic result, sends self-optimizing coordination solution message, coordinates plan received from optimal coordination result and transmission self-optimizing Slightly.Optionally, processing module 902 determines the self-optimization function coordinated and parameter;Processing module 902 is received from fortune The self-optimizing coordination strategy of quotient or SvMF are sought, and sends self-optimizing to operator and coordinates result.Referring specifically to Fig. 3 to figure Each step that NS_SO_COF is executed in 7 method.
Sending module 903, for coordinating to solve message to NSS_SO_F transmissions self-optimizing coordination configuration message and self-optimizing, Self-optimizing coordination strategy is sent to NSS_SO_COF.Optionally, receiving module 901 is used to send self-optimizing trade-off solution to operator Certainly result.
Figure 10 is the structural schematic diagram of NSS_SO_COF provided by the embodiments of the present application a kind of.As shown in Figure 10, the net First NSS_SO_COF 1000 includes processor 1001, memory 1002 and communication interface 1003.Processor 1001, which is connected to, to be deposited Reservoir 1002 and communication interface 1003, such as processor 1001 can be connected to memory 1002 and communication interface by bus 1003.NSS_SO_COF in the embodiment of the present application can be located in NSSMF, can also be may be used also independently of existing for NSSMF To be NSSMF.
Processor 1001 is configured as that NSS_SO_COF is supported to execute corresponding function in the above method.The processor 1001 Can be central processing unit (Central Processing Unit, abbreviation CPU), network processing unit (Network Processor, abbreviation NP), hardware chip or its arbitrary combination.Above-mentioned hardware chip can be application-specific integrated circuit (Application-Specific Integrated Circuit, abbreviation ASIC), programmable logic device (Programmable Logic Device, abbreviation PLD) or combinations thereof.Above-mentioned PLD can be Complex Programmable Logic Devices (Complex Programmable Logic Device, abbreviation CPLD), field programmable gate array (Field- Programmable Gate Array, abbreviation FPGA), Universal Array Logic (Generic Array Logic, abbreviation GAL) or It is arbitrarily combined.
Memory 1002 is used to store NSS_SO_COF and needs the signaling sent and data and reception from NS_SO_COF's Signaling and data etc..Memory 1002 may include volatile memory (Volatile Memory), such as random access memory Device (Random-Access Memory, abbreviation RAM);Memory 1002 can also include nonvolatile memory (Non- Volatile Memory), for example, read-only memory (Read-Only Memory, abbreviation ROM), flash memory (Flash Memory), hard disk (Hard Disk Drive, abbreviation HDD) or solid state disk (Solid-State Drive, abbreviation SSD);It deposits Reservoir 1002 can also include the combination of the memory of mentioned kind.
Communication interface 1003 is communicated for NSS_SO_COF with NS_SO_COF, and the above method is received and dispatched with the NS_SO_COF In involved signaling and data.
Processor 1001 can execute following operation:
Self-optimizing coordination is carried out according to self-optimizing coordination strategy;Receive what NS_SO_COF was sent by communication interface 1003 Self-optimizing coordination strategy and to NS_SO_COF send self-optimizing coordinate result.Referring specifically in the method for Fig. 3 to Fig. 7 Each step that NSS_SO_COF is executed.
Figure 11 is the structural schematic diagram of another kind NSS_SO_COF provided by the embodiments of the present application.As shown in figure 11, should NSS_SO_COF 1100 includes receiving module 1101, processing module 1102 and sending module 1103.In the embodiment of the present application NSS_SO_COF can be located at NSSMF in, can also be that can also be NSSMF independently of existing for NSSMF.
Receiving module 1101, the self-optimizing coordination strategy for receiving NS_SO_COF transmissions.
Processing module 1102, for carrying out self-optimizing coordination according to self-optimizing coordination strategy;It is connect by receiving module 1101 Receive the self-optimizing coordination strategy and send self-optimizing coordination result to NS_SO_COF that NS_SO_COF is sent.Referring specifically to Each step that NSS_SO_COF is executed in the method for Fig. 3 to Fig. 7.
Sending module 1103 coordinates result for sending self-optimizing to NS_SO_COF.
Figure 12 is the structural schematic diagram of NSS_SO_F provided by the embodiments of the present application a kind of.As shown in figure 12, the NSS_ SO_F 1200 includes processor 1201, memory 1202 and communication interface 1203.Processor 1201 is connected to memory 1202 Memory 1202 and communication interface 1203 can be connected to by bus with communication interface 1203, such as processor 1201.This Shen NSS_SO_F that please be in embodiment can be located in NSSMF, can also be that can also be NSSMF independently of existing for NSSMF.
Processor 1201 is configured as that NSS_SO_F is supported to execute corresponding function in the above method.The processor 1201 can To be central processing unit (Central Processing Unit, abbreviation CPU), network processing unit (Network Processor, Abbreviation NP), hardware chip or its arbitrary combination.Above-mentioned hardware chip can be application-specific integrated circuit (Application- Specific Integrated Circuit, abbreviation ASIC), programmable logic device (Programmable Logic Device, abbreviation PLD) or combinations thereof.Above-mentioned PLD can be Complex Programmable Logic Devices (Complex Programmable Logic Device, abbreviation CPLD), field programmable gate array (Field-Programmable Gate Array, letter Claim FPGA), Universal Array Logic (Generic Array Logic, abbreviation GAL) or its arbitrary combination.
Memory 1202 is used to store NSS_SO_F and needs the letter of signaling and data and reception from NS_SO_COF sent Order and data etc..Memory 1202 may include volatile memory (Volatile Memory), such as random access memory (Random-Access Memory, abbreviation RAM);Memory 1202 can also include nonvolatile memory (Non- Volatile Memory), for example, read-only memory (Read-Only Memory, abbreviation ROM), flash memory (Flash Memory), hard disk (Hard Disk Drive, abbreviation HDD) or solid state disk (Solid-State Drive, abbreviation SSD);It deposits Reservoir 1202 can also include the combination of the memory of mentioned kind.
Communication interface 1203 is communicated for NSS_SO_F with NS_SO_COF, is received and dispatched in the above method with the NS_SO_COF Involved signaling and data.
Processor 1201 can execute following operation:
At least one of the following is executed by communication interface 1203:Received from optimal coordination configuration message, run from excellent Change algorithm, sends self-optimizing arithmetic result, coordinates to solve and send received from optimal coordination solution message, execution self-optimizing Result is coordinated in self-optimizing.The each step executed referring specifically to NSS_SO_F in the method for Fig. 3 to Fig. 7.
Figure 13 is the structural schematic diagram of another kind NSS_SO_F provided by the embodiments of the present application.As shown in figure 13, the NSS_ SO_F 1300 includes receiving module 1301, processing module 1302 and sending module 1303.NSS_ in the embodiment of the present application SO_F can be located in NSSMF, can also be that can also be NSSMF independently of existing for NSSMF.
Configuration message and self-optimizing trade-off solution are coordinated in receiving module 1301, the self-optimizing for receiving NS_SO_COF transmissions Certainly message.
Processing module 1302 disappears for receiving the self-optimizing coordination configuration that NS_SO_COF is sent by receiving module 1301 Breath;Run self-optimizing algorithm;By sending module 1303 self-optimizing arithmetic result is sent to NS_SO_COF;Pass through receiving module 1301, which receive the self-optimizing that NS_SO_COF is sent, coordinates to solve message;Self-optimizing is executed to coordinate to solve;Pass through sending module 1303 Self-optimizing, which is sent, to NS_SO_COF coordinates result.It is executed referring specifically to NSS_SO_F in the method for Fig. 3 to Fig. 7 each A step.
Sending module 1303, for sending self-optimizing arithmetic result and self-optimizing coordination result to NS_SO_COF.
In several embodiments provided herein, it should be understood that disclosed device and method can pass through it Its mode is realized.For example, the apparatus embodiments described above are merely exemplary, for example, the division of unit, only A kind of division of logic function, formula that in actual implementation, there may be another division manner, such as multiple units or component can combine or Person is desirably integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed is mutual Between coupling, direct-coupling or communication connection can be INDIRECT COUPLING or communication link by some interfaces, device or unit It connects, can be electrical, machinery or other forms.
The unit illustrated as separating component may or may not be physically separated, and be shown as unit Component may or may not be physical unit, you can be located at a place, or may be distributed over multiple networks On unit.Some or all of unit therein can be selected according to the actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of present patent application can be integrated in a processing unit, Can be that each unit physically exists alone, it can also be during two or more units be integrated in one unit.
If function is realized in the form of SFU software functional unit and when sold or used as an independent product, can store In a computer read/write memory medium.Based on this understanding, the technical solution of present patent application is substantially in other words The part of the part that contributes to existing technology or the technical solution can be expressed in the form of software products, the meter Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be People's computer, server or network equipment etc.) execute each embodiment method of present patent application all or part of step. And storage medium above-mentioned includes:USB flash disk, read-only memory (ROM, abbreviation Read-Only Memory), is deposited mobile hard disk at random Various Jie that can store program code such as access to memory (RAM, abbreviation Random Access Memory), magnetic disc or CD Matter.
More than, the only specific implementation mode of present patent application, but the protection domain of present patent application is not limited thereto, Any one skilled in the art can readily occur in variation or replace in the technical scope that present patent application discloses It changes, should all cover within the protection domain of present patent application.Therefore, the protection domain of present patent application should be with claim Subject to protection domain.

Claims (18)

1. a kind of network is sliced self-optimizing coordination approach, which is characterized in that this method includes:
Network is sliced self-optimizing coordination function and sends self-optimizing co-ordination message to network slice subnet self-optimization function, described from excellent Change self-optimizing of the co-ordination message for multiple network slice subnet self-optimization functions in coordination network slice subnet;
The network slice self-optimizing coordination function receives the self-optimizing that the network slice subnet self-optimization function is sent and coordinates Result.
2. according to the method described in claim 1, it is characterized in that, the self-optimizing co-ordination message, which includes self-optimizing, coordinates configuration Message and/or self-optimizing are coordinated to solve message;
The self-optimizing coordinates configuration message and is used to indicate the network slice subnet self-optimization function before executing self-optimizing, Self-optimizing arithmetic result is reported to network slice self-optimizing coordination function;
The self-optimizing coordinates solution message and is used to indicate the network slice subnet self-optimization function execution self-optimizing trade-off solution Certainly.
3. according to the method described in claim 1, it is characterized in that, network slice self-optimizing coordination function is being sent from excellent Before changing co-ordination message, this method further includes:
The network slice self-optimizing coordination function is obtained from optimal coordination strategy, determines the self-optimization function coordinated And parameter.
4. according to the method in any one of claims 1 to 3, which is characterized in that work(is coordinated in the network slice self-optimizing It can be before sending self-optimizing and coordinating to solve message, this method further includes:
The network slice self-optimizing coordination function according to the self-optimizing coordination strategy, coordinate by decision self-optimizing.
5. a kind of network is sliced self-optimizing coordination approach, which is characterized in that this method includes:
Network is sliced subnet self-optimization function and receives the self-optimizing co-ordination message that network slice self-optimizing coordination function is sent;
The network slice subnet self-optimization function carries out self-optimizing Coordination Treatment according to the self-optimizing co-ordination message;
The network is sliced subnet self-optimization function and sends self-optimizing Coordination Treatment to network slice self-optimizing coordination function As a result.
6. according to the method described in claim 5, it is characterized in that, the self-optimizing co-ordination message, which includes self-optimizing, coordinates configuration Message and/or self-optimizing are coordinated to solve message;
The self-optimizing coordinates configuration message and is used to indicate the network slice subnet self-optimization function before executing self-optimizing, Self-optimizing arithmetic result is reported to network slice self-optimizing coordination function;
The self-optimizing coordinates solution message and is used to indicate the network slice subnet self-optimization function execution self-optimizing trade-off solution Certainly.
7. according to the method described in claim 5, it is characterized in that, the self-optimizing Coordination Treatment includes operation self-optimizing algorithm And/or it executes self-optimizing and coordinates to solve.
8. method according to any one of claims 5 to 7, which is characterized in that the network is sliced subnet self-optimizing work( Self-optimizing algorithm can be run, and coordinate to network slice self-optimizing after receiving the self-optimizing and coordinating configuration message Function reports the result of the self-optimizing algorithm.
9. method according to any one of claims 5 to 7, which is characterized in that the network is sliced subnet self-optimizing work( It can execute self-optimizing after receiving the self-optimizing and coordinating to solve message and coordinate to solve, and self-optimizing is sliced to the network Coordination function reports the self-optimizing to coordinate the result solved.
10. a kind of network is sliced self-optimizing coordination function, including:
Sending module, for sending self-optimizing co-ordination message to network slice subnet self-optimization function;
Processing module, the content for configuring self-optimizing co-ordination message, the self-optimizing co-ordination message are sliced for coordination network The self-optimizing of multiple network slice subnet self-optimization functions in subnet;And
Receiving module coordinates result for receiving the self-optimizing that network slice subnet self-optimization function is sent.
11. network according to claim 10 is sliced self-optimizing coordination function, which is characterized in that the self-optimizing coordination disappears Breath includes that configuration message and/or self-optimizing coordination solution message are coordinated in self-optimizing;
The self-optimizing coordinates configuration message and is used to indicate the network slice subnet self-optimization function before executing self-optimizing, Self-optimizing arithmetic result is reported to network slice self-optimizing coordination function;
The self-optimizing coordinates solution message and is used to indicate the network slice subnet self-optimization function execution self-optimizing trade-off solution Certainly.
12. network according to claim 10 is sliced self-optimizing coordination function, which is characterized in that the network is sliced from excellent Change coordination function before sending self-optimizing co-ordination message, further includes:
The network slice self-optimizing coordination function is obtained from optimal coordination strategy, determines the self-optimization function coordinated And parameter.
13. network according to any one of claims 10 to 12 is sliced self-optimizing coordination function, which is characterized in that described Network is sliced self-optimizing coordination function before sending self-optimizing and coordinating to solve message, further includes:
The network slice self-optimizing coordination function according to the self-optimizing coordination strategy, coordinate by decision self-optimizing.
14. a kind of network is sliced subnet self-optimization function, including:
Receiving module, the self-optimizing co-ordination message sent for receiving network slice self-optimizing coordination function;
Processing module, for carrying out self-optimizing Coordination Treatment according to the self-optimizing co-ordination message;And
Sending module, for sending self-optimizing Coordination Treatment result to network slice self-optimizing coordination function.
15. network according to claim 14 is sliced subnet self-optimization function, which is characterized in that the self-optimizing coordination disappears Breath includes that configuration message and/or self-optimizing coordination solution message are coordinated in self-optimizing;
The self-optimizing coordinates configuration message and is used to indicate the network slice subnet self-optimization function before executing self-optimizing, Self-optimizing arithmetic result is reported to network slice self-optimizing coordination function;
The self-optimizing coordinates solution message and is used to indicate the network slice subnet self-optimization function execution self-optimizing trade-off solution Certainly.
16. network according to claim 14 is sliced subnet self-optimization function, which is characterized in that at the self-optimizing coordination Reason includes that operation self-optimizing algorithm and/or execution self-optimizing are coordinated to solve.
17. the network according to any one of claim 14 to 16 is sliced subnet self-optimization function, which is characterized in that described Network is sliced subnet self-optimization function after receiving the self-optimizing and coordinating configuration message, runs self-optimizing algorithm, and to institute State the result that network slice self-optimizing coordination function reports the self-optimizing algorithm.
18. the network according to any one of claim 14 to 16 is sliced subnet self-optimization function, which is characterized in that described Network is sliced subnet self-optimization function after receiving the self-optimizing and coordinating to solve message, executes self-optimizing and coordinates to solve, and The self-optimizing is reported to coordinate the result solved to network slice self-optimizing coordination function.
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