CN108810937A - A kind of the control plane optimization method and controller of mobile management - Google Patents

A kind of the control plane optimization method and controller of mobile management Download PDF

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Publication number
CN108810937A
CN108810937A CN201810539461.4A CN201810539461A CN108810937A CN 108810937 A CN108810937 A CN 108810937A CN 201810539461 A CN201810539461 A CN 201810539461A CN 108810937 A CN108810937 A CN 108810937A
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control plane
mobile management
status information
optimization
management control
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CN108810937B (en
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靳浩
王梦圆
靳
靳一
赵中原
彭木根
王文博
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Beijing University of Posts and Telecommunications
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Beijing University of Posts and Telecommunications
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/02—Arrangements for optimising operational condition
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/08—Configuration management of networks or network elements
    • H04L41/0803—Configuration setting
    • H04L41/0823—Configuration setting characterised by the purposes of a change of settings, e.g. optimising configuration for enhancing reliability
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/0005—Control or signalling for completing the hand-off
    • H04W36/0083—Determination of parameters used for hand-off, e.g. generation or modification of neighbour cell lists
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/08—Reselecting an access point
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W36/00—Hand-off or reselection arrangements
    • H04W36/24—Reselection being triggered by specific parameters
    • H04W36/30—Reselection being triggered by specific parameters by measured or perceived connection quality data

Abstract

This application discloses a kind of control plane optimization methods of mobile management, including：In the cluster of the isomery Hierarchical Mobile Radio Access Network formed by macro base station, micro-base station and wireless access point, periodically collect and the relevant network resource status information of mobile management control plane, to being analyzed after the network resource status information pre-processing of collection, and using analysis result as the contextual data corresponding to network resource status；In cluster, periodic harvest respectively calculate unloading collaborative controller belonging to cooperated computing unit with the relevant computing resource status information of mobile management control plane, to being analyzed after the computing resource status information pretreatment of collection, and using corresponding analysis result as the contextual data corresponding to computing resource state；When determination needs to carry out control plane optimization, using with the contextual data of the relevant network resource status of mobile management control plane and computing resource state as restrictive condition, according to the specified optimization aim of control plane, the optimization of control plane is carried out, and mobile management function to ps domain is completed according to optimal control result.Using mobile management control plane optimization method provided by the present application, it can optimize towards the mobile management control plane for calculating unloading business, improve mobile management control plane performance when supporting to calculate unloading business.

Description

A kind of the control plane optimization method and controller of mobile management
Technical field
This application involves mobile management technology, more particularly to the control plane optimization method of a kind of mobile management and control Device processed.
Background technology
In recent years, the quantity of Intelligent mobile equipment increases substantially and its in CPU processing capacities, network-connectivity, biography The promotion of the aspect of performance such as sense ability so that people will more use mobile device access network and obtain and service, still, face To compute-intensive applications such as some image recognitions, network gamings, computing capability, the battery durable ability of mobile device etc. are still Constitute the serious limitation to application implementation.It is thus proposed that the higher task of computation complexity is unloaded to by mobile device Result of calculation is returned to the solution [4,5] of mobile device by long-range cloud data center, data center again；But cloud number Farther out according to center and mobile device distance, it is connected by the wide area network of high latency, on the one hand, mobile device can not be obtained rapidly The computation needed is as a result, on the other hand, frequent calculate can cause larger flow pressure using unloading to wide area network, lead Cause the flow of core network to increase, meanwhile, the flow for also resulting in mobile wireless network increases sharply, the forward pass of Radio Access Network and It is nervous with backhaul link bandwidth, the resource of mobile radio access network is used and causes larger pressure.
Mobile edge calculations (MEC：Mobile Edge Computing) it is the edge meter based on mobile radio access network Calculation provides a feasible solution.Have in the configuration of macro base station, micro-base station, wireless access point and mobile subscriber equipment The module of computing capability calculates relieving capacity by being provided on base station, user terminal, compute-intensive applications can be made more It is completed close in the equipment of network edge, in this way, the service response time delay of user can be both reduced, it is also possible to improve side The resource utilization of edge equipment, reduce mobile wireless network in due to core network carry out calculate unload bring return, it is preceding Pass the network load of link.It can be seen that based on the application of edge calculations to the network architecture of isomery mobile radio access network And its intelligent networking produces large effect.
Specifically, due to may support computing capability on macro base station, micro-base station, wireless access point and user terminal, Therefore, calculating can be unloaded to when isomery is layered and is roamed in Radio Access Network including macro base station, micro- base by mobile subscriber It stands, on the mobile subscriber terminal that wireless access point is even neighbouring, by the even neighbouring shifting of macro base station, micro-base station, wireless access point Cooperated computing unit on dynamic user terminal completes the calculating task after unloading, then result of calculation is returned to mobile subscriber, when Mobile subscriber is mobile and when switching over, can influence to calculate the biography that user in uninstall process sends and receives calculation result data It is defeated, especially when the calculating input data and calculating output data quantity that calculate unloading business are big, unload node and are unloaded node Between calculating task when calling the frequent interaction caused between node, unfavorable shadow can be caused to the completion of calculating unloading business It rings.Therefore, it is necessary to study and optimize towards calculate unloading business mobility management mechanism.
Mobile management function to ps domain in existing cellular mobile network is by MME, S-GW, P-GW and source base station, target What the function modules such as base station were completed, wherein MME is located at core network, completes the shiftings such as location management, handover management and data management The relevant function of mobility management, specifically, on the control plane, user is based on attachment, wake-up, switching and free time etc. and movement The information exchange of the property relevant four classes event of management function, by the MME entities of centralized deployment within the core network, S-GW, The collaboration of the entities such as P-GW and source base station, target BS is completed；On data plane, using based on attached base station and gateway The mode of collaboration completes the data stream transmitting for the data plane that mobile management is related to.It inherently sees, is based on above-mentioned mobility When the dispositions method of management function, mobile management function to ps domain is realized by the way of centralized system deployment, in control plane On not only there are problems that Single Point of Faliure, moreover, there is also signaling traffic owe optimization, be difficult to meet different business demand the problem of.
With the deployment of the 4G mobile radio access networks being layered based on isomery and the introducing of 5G typical services scenes, one The network architecture of aspect, Radio Access Network tends to flattening, on the other hand, in isomery point caused by mobile edge calculations Layer mobile radio access network in widespread deployment computing resource and cache resources, also will greatly push including calculate, store with And the development of the various mobile applications under different business scene, to inevitably cause that the when of calculating unloading business is supported to move Property management control plane on signaling data flow surge, thus caused by mobile management control plane performance optimization, will As a problem in the urgent need to address.
Currently, the achievement in research for mobile management includes mainly：
(1) in terms of mobile management Performance Evaluation, achievement in research includes mainly different mobility models, the difference of user Mobile management Performance Evaluation under business scenario, the distribution for user, base station model, for the movement of mobile subscriber Sexual behaviour is modeled, and is modeled for the business supported, principal element, the theory of analyzing influence mobile management performance Difference between modeling result and systemic Simulation results, evaluation index include mainly the Loss Rate of data packet, switching rate, Switch table tennis rate, handover delay etc.；
(2) in terms of mobile management framework improvement, achievement in research includes mainly the improvement to mobile management framework, packet Include the improvement of control plane and the improvement of data plane.First, on the control plane, achievement in research is concentrated mainly on to mobility In terms of the optimization of the MME function distributed deployments of management framework, for the centralized deployment defect of mobile management, it is thus proposed that MME, is divided into the framework of stratification, wherein global MME is responsible for different zones by the method for distributed mobile management (DMM) Between mobile management, local MME then be responsible for local zone mobile management, in this way, mobile management control can be saved Control information overhead of the plane processed to core network；In addition, have the mobile management achievement in research virtualized based on network function, But this class solution is not the solution for the application scenarios towards the business of calculating；Secondly, on data plane, mesh Preceding mobile management of the mobile management generally use based on local anchor point being layered based on isomery in Radio Access Network business Scheme, i.e., local anchor point are responsible for the data forwarding of user plane, are chosen by local anchor point, and data forwarding on data plane is completed The optimization in path.In terms of towards the mobile management data plane optimization for calculating unloading business, for the number of mobile management According to plane, existing achievement in research is the optimization of the mobile management data plane optimized based on efficiency.
According to above-mentioned investigation, it can be seen that not yet find that has delivered calculates the movement of unloading business for support at present Property the achievement in research that optimizes of management control plane performance.
Invention content
The application provides a kind of the control plane optimization method and controller of mobile management, can be directed to and calculate unloading industry Business carries out rational control plane optimization.
To achieve the above object, the application adopts the following technical scheme that：
A kind of control plane optimization method of mobile management, including：
In the cluster of the isomery Hierarchical Mobile Radio Access Network formed by macro base station, micro-base station, wireless access point, the period Property collect with the relevant network resource status information of mobile management control plane, the network resource status information of collection is located in advance It is analyzed after reason, and using analysis result as the contextual data corresponding to network resource status；
In the cluster, periodic harvest respectively calculate unloading collaborative controller belonging to cooperated computing unit and mobility The relevant computing resource status information of control plane is managed, to being analyzed after the computing resource status information pretreatment of collection, And using corresponding analysis result as the contextual data corresponding to computing resource state；
It determines when needing to carry out control plane optimization, the contextual data of network resource status and current right will be currently corresponded to Should in computing resource state contextual data as restrictive condition, according to the specified optimization aim of mobile management control plane, The optimization of the control plane is carried out, and completes the optimal control of mobile management control plane according to optimum results.
It is included preferably, carrying out analysis bag after the network resource status information pre-processing of described pair of collection：From the network of collection Active block status information is extracted in resource state information, according to the active block status information, and web-based history is combined to provide Source state determines target network status information, analyzes the target network status information.
It is included preferably, carrying out analysis bag after the computing resource status information pretreatment of described pair of collection：Belonging to controller Cooperated computing unit in collect and extract it is effective calculate status information, according to effective calculating status information, in conjunction with going through History computing resource state determines that target calculates status information, and calculating status information to the target analyzes.
Preferably, the contextual data corresponding to network resource status includes：In mobile management control plane Network topology, link bandwidth, the handling capacity of control plane, the Internet usage amount of given link, is specified at networking status information The relevant cost of network resource utilization and/or system communication of link；And/or
The contextual data corresponding to computing resource state includes：Computing resource in mobile management control plane Ability, computing resource group net topology, computing resource networking status information, calculate unloading assembly status information, user mobile meter Calculate variation characteristic information, the computing resource usage amount of cooperated computing unit, computing resource utilization rate and/or the system of unloading request Calculate relevant cost.
Preferably, the determination need carry out control plane optimization mode include：According to currently corresponding to Internet resources The contextual data of state and the contextual data for currently corresponding to computing resource state determine the need for carrying out control plane optimization.
Preferably, the basis currently corresponds to the contextual data of network resource status and currently corresponds to computing resource shape The contextual data of state determines the need for carrying out control plane optimization：According to the scene for currently corresponding to network resource status Data and the contextual data for currently corresponding to computing resource state monitor the status information of mobile management control plane, and root Mobile management performance indicator state is determined according to the status information；It is moved according to the mobile management performance indicator state Property management in control plane Performance Evaluation, when assessment result is unsatisfactory for current demand, determine need carry out control plane it is excellent Change；When assessment result meets current demand, determination need not carry out control plane optimization.
A kind of control plane optimal controller of mobile management, including：MMOC-CP-COS resource state informations count and Analysis module, mobile management control plane Optimal Decision-making module and control plane optimization module；
The MMOC-CP-COS resource state informations statistics and analysis module, for by macro base station, micro-base station, wireless In the cluster for the isomery Hierarchical Mobile Radio Access Network that access point is formed, periodically collect and mobile management control plane phase The network resource status information of pass to being analyzed after the network resource status information pre-processing of collection, and analysis result is made For the contextual data corresponding to network resource status；It is additionally operable to periodically collect each calculating unloading Collaborative Control in the cluster The affiliated cooperated computing unit of device and the relevant computing resource status information of mobile management control plane, to the computing resource of collection It is analyzed after status information pretreatment, and using analysis result as the contextual data corresponding to computing resource state；
The mobile management control plane Optimal Decision-making module is used to determine whether to need to carry out control plane optimization, And when determining progress control plane optimization, notify the control plane optimization module；
The control plane optimization module is used for the MMOC-CP-COS resource state informations statistics and analysis module The contextual data and computing resource shape of output currently corresponded to the relevant network resource status of mobile management control plane The contextual data of state carries out the optimization of the control plane as restrictive condition according to the specified optimization aim of control plane, and The optimal control of mobile management control plane is completed according to optimal control result.
Preferably, the mobile management control plane Optimal Decision-making module includes mobile management control plane performance prison Survey submodule, mobile management control plane Performance Evaluation submodule and mobile management control plane optimal control input parameter Generate submodule；
The mobile management control plane performance monitoring submodule, for according to the resource status statistics and analysis mould The current contextual data and computing resource state with the relevant network resource status of mobile management control plane of block output Contextual data, monitors the status information of mobile management control plane, and determines mobile management performance according to the status information Index state；
The mobile management control plane Performance Evaluation submodule, for according to the mobile management performance indicator shape State carries out the Performance Evaluation of mobile management control plane, and when assessment result is unsatisfactory for current demand, determination is controlled Plane optimizing processed, and the mobile management performance indicator state is sent to the mobile management control plane optimal control Input parameter generates submodule；
The mobile management control plane optimal control input parameter generates submodule, for according to the mobility pipe It manages performance indicator state and generates mobile management control plane Optimal Control Strategy input parameter, and the input parameter is exported To the control plane optimization module.
Preferably, the control plane optimization module includes：Mobile management control plane Optimal Control Strategy submodule With mobile management control plane Optimal Control Strategy output sub-module；
The mobile management control plane Optimal Control Strategy submodule is used for according to the input parameter, will be described The scene of the current and relevant network resource status of mobile management control plane of resource status statistics and analysis module output The contextual data of data and computing resource state is as restrictive condition, according to the specified optimization aim of control plane, described in progress The optimization of control plane, and optimum results are sent to the mobile management control plane Optimal Control Strategy and export submodule Block；
The mobile management control plane Optimal Control Strategy output sub-module, for being generated according to the optimum results The control information of control is optimized for mobile management control plane, and the control information is distributed to and this suboptimization control Relevant base station and/or wireless access point are made, is pressed with the relevant base station of this optimal control and/or wireless access for each The optimal control operation of mobile management control plane is carried out according to the control information.
By said program as it can be seen that in the application, it is layered and moves in the isomery formed by macro base station, micro-base station, wireless access point In the cluster of dynamic Radio Access Network, periodically collect with the relevant network resource status information of mobile management control plane, To being analyzed after the network resource status information pre-processing of collection, and using analysis result as corresponding to network resource status Contextual data；In cluster, periodically collect it is each calculate unloading collaborative controller belonging to mobile management control plane phase The computing resource status information of the cooperated computing unit of pass, to being analyzed after the computing resource status information pretreatment of collection, And using analysis result as the contextual data corresponding to computing resource state；When determination needs to carry out control plane optimization, it will work as It is preceding relevant corresponding to the contextual data of network resource status and corresponding to computing resource state with mobile management control plane Contextual data carry out the optimization of control plane, and according to excellent according to the specified optimization aim of control plane as restrictive condition Change the optimal control that control result completes mobile management control plane.By the above-mentioned means, when carrying out control plane optimization, Consider currently to complete to calculate what unloading task used with the relevant network state of mobile management control plane and calculating state Internet resources and computing resource are included in the restrictive condition of control plane optimization, to make the optimum results and this earth anchor of control plane The selection of point can adapt to, in current Internet resources and computing resource use state, optimize the calling between computation module and control The transmission path of information improves the performance of mobile management control plane.
Description of the drawings
Fig. 1 is a kind of towards the mobile management configuration diagram for calculating unloading business；
Fig. 2 give it is a kind of isomery be layered in Radio Access Network the mobile management framework function module that includes and its The group-network construction of control plane；
Fig. 3 gives a kind of group of control plane towards the mobile radio access network for calculating unloading business in the application Planar network architecture；
Fig. 4 is the control plane optimization method basic procedure schematic diagram of mobile management in the application；
Fig. 5 is the basic structure schematic diagram of control plane optimal controller in the application；
Fig. 6 is the structural schematic diagram of MMOC-CP-COS in the embodiment of the present application；
Fig. 7 gives the submodule composition of MMOC-CP-COS resource state information statistics and analysis modules；
Fig. 8 gives the Information Statistics of MMOC-CP-COS network resource status and analyzes the composition of submodule；
Fig. 9 gives MMOC-CP-COS computing resources state information statistics and analyzes the composition of submodule；
Figure 10 gives switching flow in the cluster towards the mobile management for calculating unloading business；
Figure 11 gives switching flow between the cluster towards the mobile management for calculating unloading business；
It is excellent that Figure 12 gives a kind of mobile management control plane based on control plane signaling data communication overhead minimum The flow chart of change method.
Specific implementation mode
In order to make the purpose, technological means and advantage of the application be more clearly understood, the application is done below in conjunction with attached drawing It is further described.
Mobile management solution in aforementioned background art is based on data flow, the behavior for the Business Stream supported with it Feature is unrelated.In addition, in the existing mobile management solution based on anchor point, the function of data plane and control plane is logical Chang Jun is resided on local anchor point, i.e., data plane and control plane are substantially there is no detaching, therefore, the choosing of local anchor point It takes, control plane and the performance of data plane can be influenced.When supporting edge calculations business, due to unloading node and it is unloaded section Need to carry out the frequent calling based on application between point, therefore, if the characteristics of not considering to calculate unloading business and mobility The demand for managing control plane chooses local anchor point, then is difficult to meet the performance requirement of mobile management control plane, causes to use Unloading Quality of Service Experience is calculated when family is moved to decline.
The application proposes a kind of mobile management control plane optimal controller towards calculating unloading business, by with face To the performance indicator for the mobile management control plane for calculating unloading business, target, optimization mobile management control are flat as an optimization The performance in face, meanwhile, promote Quality of Service Experience of the mobile subscriber using calculating unloading business when.
It introduces and is divided towards mobile management scene, function structure and the plane for calculating unloading business first below.
Fig. 1 is under isomery layering Radio Access Network scene, towards the mobile management framework scene for calculating unloading.Node Including macro base station, micro-base station, wireless access point, gateway；Communication link include gateway with macro base station/micro-base station/wireless access point, Between macro base station and micro-base station/wireless access point, macro base station/micro-base station/wireless access point and user terminal, micro-base station and micro- base It stands/the link of wireless access point.Have multiple micro-base stations, wireless access point in macro base station coverage area, macro base station and micro-base station or Between wireless access point, between micro-base station and micro-base station, between micro-base station and wireless access point, wireless access point and wireless access Link between point can be wired connection or wireless connection, macro base station and user terminal, micro-base station and user terminal, wireless Link between access point and user is Radio Link, and user can access micro-base station and macro base station simultaneously.
In honeycomb heterogeneous radio access networks network, the function of mobile management by include user terminal, source micro-base station/source without Line access point, target micro-base station/target wireless access points, gateway (S-GW), packet gateway (P-GW), mobile management are real It is responsible for database (HSS), the policy control (PCRF) etc. of location of mobile users management and service management in body (MME), core net Function module collaboration is completed.
It is layered in Radio Access Network in isomery, base station is disposed based on layered mode, wherein macro base station is responsible for covering, micro- Therefore the high speed data transfer that base station and wireless access point complete hot zones using dense deployment mode is typically employed in more Local anchor point is chosen in a micro-base station, wireless access point as gateway, by macro base station, local anchor point, micro-base station, wireless access point The control plane and data plane functions when user's movement are completed in equal collaborations.Fig. 2 gives a kind of in isomery layering wireless access The group-network construction of mobile management framework includes in network function module and its control plane.
From the point of view of mobile management, it is ensured that business continuance of the user in moving process can substantially incite somebody to action The function of mobile management is further divided into location management, handover management and data management function, wherein location management is used for remembering Record and update mobile subscriber in mobile radio access network with the relevant contextual information in position, to ensure user in movement The accessibility of period；Handover management provides change detection, network selection, switch decision and switching control, ensures user multiple The business continuance when internetwork roaming of mobile radio access network；Packet encapsulation/solution when user's movement is responsible in data management The data forwarding of encapsulation and user data plane；Therefore, in the function of mobile management, location management and handover management category In the control plane of mobile management, data management then belongs to the data plane of mobile management.
As can be seen that in the mobile management framework of Fig. 2, the function module that mobile management control plane includes has： MME, source micro-base station/source wireless access point, target micro-base station/target wireless access points, local anchor point (LA：Local Anchor), S-GW, P-GW, HSS and PCRF, control plane complete location management, the handover management of mobile subscriber.
In towards the mobile management framework for calculating unloading business, the data plane of mobile management includes that communication is flat again Face and Calculation Plane.
On towards the Calculation Plane for calculating unloading business, macro base station, micro-base station, wireless access point, can on user terminal It can be deployed with cooperated computing unit, calculating task is unloaded to macro base station and/or micro-base station and/or wireless access by mobile subscriber It is executed on the cooperated computing unit of point and/or user terminal.The calculating that these cooperated computing units are responsible for executing user's unloading is appointed Business.Primary calculating unloading can be cooperateed with by multiple cooperated computing units to be completed, and communication layer then by different network nodes and leads to Believe link, completes the data transmission to calculating unloading business.It calculates unloading result and then depends on the meter being deployed on Calculation Plane The calculating for calculating unloading controller unloads Optimal Decision-making result.Calculating unloading controller can be placed on macro base station, can also put It sets and is selected in the cluster head come from multiple micro-base stations and/or wireless access point.
According to the control mechanism that above-mentioned calculating unloads, from the point of view of calculating unloading, Calculation Plane is divided into as Calculation Plane Data plane and control plane.Wherein, it calculates unloading request processing and calculates the control that Unloading Control function belongs to Calculation Plane Plane processed is completed by calculating unloading controller, and it includes for the calculating unloading for calculating unloading business to calculate Unloading Control function Decision Control and for calculate unloading business data plane control function, by calculate unloading controller processing from movement The calculating unloading request of user, and carry out calculating unloading decision to calculating unloading request, the unloading result of decision will be calculated and be distributed to Relevant calculating unloads node and is unloaded on node.In calculating uninstall process, association of the calculating task on being unloaded node It is instantiated and is executed in computing unit, during calculating unloading and executing, in unloading node and between being unloaded node Calculating unloading input parameter, the transmission that calculates the unloading data such as output parameter then belong to the data plane of Calculation Plane, calculating The calculation optimization for unloading the cooperated computing unit being related to then belongs to the control plane of Calculation Plane.It can be seen that calculating unloading phase The optimization of pass can influence the data transmission of communication layer again in turn, when the separation of data plane and control plane is incomplete, Also the control plane performance of mobile management will be influenced.
When supporting to calculate unloading business in isomery Hierarchical Mobile Radio Access Network, usually in macro base station and each micro- base Cooperated computing unit is disposed on standing, and completes to calculate unloading task by cooperateing between computing unit.It is moved for user Property management when, base station need continually with the functional entity of core network carry out information exchange therefore lead to Radio Access Network Communication overhead to core network is larger, and therefore, the mode of generally use optimum option local anchor point is optimized based on local anchor point Communication overhead.Specifically, the function of local anchor point includes following aspect：
(1) on data plane, local anchor point completes agency and data relay function, by the data plane for choosing optimization Anchor point can be completed to transmit with optimization in the collection of data traffic between the micro-base station in its affiliated cluster, between cluster；
(2) on the control plane, local anchor point assists to complete the relevant control flow of mobile management, and local anchor point is known User provides the switching between the micro-base station in cluster between cluster for mobile terminal, and assisted by the attachment behavior of micro-base station At the bearer connection control flow between micro-base station and local anchor point and between local anchor point and core net.
Based on the above-mentioned function about local anchor point and its relationship with mobile management function to ps domain, in the selection of local anchor point On, in general, local anchor point can be macro base station, can also be based on some micro-base station.Therefore, industry is unloaded for towards calculating The mobile management control plane of business optimizes, and can transform into the cluster formed in macro base station, multiple micro-base stations, wireless access point It is interior, the problem of the certain optimisation target based on mobile management control plane, optimum option local anchor point.By to local anchor point Optimization, optimal control data stream transmitting can be reached, to achieve the purpose that optimize mobile management control plane performance.
Based on above-mentioned thinking, Fig. 3 gives one towards the mobile radio access network for calculating unloading business in the application The group-network construction of kind of control plane, wherein calculate unloading controller and be deployed on macro base station, in macro base station, micro-base station and wireless Cooperated computing unit is deployed on access point, chooses local anchor point LA1 and LA2, completion is cooperateed with MME and S-GW, P-GW The mobile management function to ps domain of mobile subscriber when supporting to calculate unloading business.
Fig. 4 is the control plane optimization method basic procedure schematic diagram of mobile management in the application, as shown in figure 4, should Method includes：
Step 401, in the isomery Hierarchical Mobile Radio Access Network formed by macro base station, micro-base station, wireless access point In cluster, periodically collects and cooperate with control with the relevant network resource status information of mobile management control plane and each calculating unloading The affiliated cooperated computing unit of device processed and the relevant computing resource status information of mobile management control plane.
The application is towards the mobile management control plane optimization for calculating unloading, it is therefore desirable to calculating unloading business pair The control plane related status information that mobile management control plane impacts is collected, this step is exactly to be moved for collecting In mobility management with the performance-relevant network resource status information of control plane and computing resource status information, to utilize these The foundation that status information optimizes as control plane.Wherein, network resource status information includes but not limited to：With mobile management The network of the relevant network topology of control plane, networking status information, link bandwidth, the handling capacity of control plane, given link Resource usage amount, the network resource utilization of given link and/or system communication associated costs etc.；Computing resource status information packet It includes but is not limited to：With the relevant computing resource ability of mobile management control plane, computing resource group net topology, computing resource group Net state information calculates unloading assembly status information, the variation characteristic information of the mobile computing of user unloading request, cooperated computing Computing resource usage amount, computing resource utilization rate and/or the relevant cost of system-computed of unit etc..
Step 402, to being analyzed after the network resource status information of collection and the pretreatment of computing resource status information, and Using analysis result as the contextual data for corresponding to network resource status and corresponding to the contextual data of computing resource state.
Pair with the performance-relevant network resource status information of mobile management control plane pre-process when, can be from receipts Active block status information is extracted in the network resource status information of collection, according to active block status information, and combines history net Network resource status determines target network status information, analyzes target network status information.Analyzing processing therein can be with It is the analysis mode based on statistical analysis and/or based on artificial intelligence.For example, can according to active block status information, in conjunction with Web-based history status information is based on intelligent algorithm, including but not limited to machine learning algorithm, to network resource status information It is analyzed and predicted, prediction result information is summarized with analysis result information into row information, output is based on network resource status The contextual data of information.Contextual data corresponding to network resource status includes but not limited to：With mobile management control plane The Internet usage of relevant network topology, networking status information, link bandwidth, the handling capacity of control plane, given link Amount, the network resource utilization of given link and/or system communication associated costs etc., and in this, as towards calculating unloading business Mobile management control plane optimization optimization foundation.
When being pre-processed to computing resource status information, it can be extracted from the computing resource status information of collection effectively Status information is calculated, status information is calculated according to effective, and combine history computing resource state, determines that target calculates state letter Breath calculates status information to target and analyzes.Analyzing processing therein can based on statistical analysis or be based on artificial intelligence Analysis mode.For example, status information can be calculated according to effective, status information is calculated in conjunction with history, is calculated based on artificial intelligence Method, including but not limited to machine learning algorithm are analyzed and predicted computing resource status information, are carried out according to prediction result Converging information and analysis, the contextual data corresponding to computing resource state include but not limited to：With mobile management control plane Relevant computing resource ability, computing resource networking status information, calculates unloading assembly state letter at computing resource group net topology Variation characteristic information, computing resource usage amount, the computing resource of cooperated computing unit that the mobile computing unloading of breath, user is asked Utilization rate and/or the relevant cost of system-computed etc., and it is flat in this, as being controlled towards the mobile management for calculating unloading business The optimization foundation of face optimization.
Step 403, judge whether to need to carry out control plane optimization, when needing to carry out control plane optimization, execute step Rapid 404, otherwise return to step 401.
When judging whether to need to carry out control plane optimization, what can be determined according to step 402 currently corresponds to net The contextual data of network resource status and the contextual data for currently corresponding to computing resource state carry out.It preferably, can be according to working as The preceding contextual data corresponding to network resource status and the contextual data for currently corresponding to computing resource state monitor mobility pipe The status information of control plane is managed, and determines that current mobility manages the performance indicator state of control plane according to the status information Information；The performance that mobile management control plane is carried out according to the mobile management control plane performance indicator status information is commented Estimate, when assessment result is unsatisfactory for current demand, determines and need to carry out control plane optimization；When assessment result meets current demand When, determination need not carry out control plane optimization.
Step 404, the contextual data for currently corresponding to network resource status and computing resource state will be currently corresponded to Contextual data carries out the optimization of control plane as restrictive condition according to the specified optimization aim of control plane.
The contextual data corresponding to network resource status and computing resource state that step 402 is determined, reflects and counts It calculates and unloads relevant resource status.In this step, using these contextual datas as restrictive condition, and according to specified optimization mesh Mark, carries out the optimization of control plane, the result after optimizing in this way can adapt in currently with the calculating relevant resource of unloading business Situation considers and calculates the relevant control plane status information of unloading business.
Wherein, the optimization aim of control plane can be the optimizing index of various existing mobile management control planes, Can also be the performance indicator proposed according to the actual demand for calculating unloading service application, the application does not limit this.
Step 405, the optimal control of mobile management control plane is carried out according to the optimal control result of step 404.
Can will currently correspond to the contextual data of network resource status and current in the optimum results of step 404 It is carried out according to the specified optimization aim of control plane corresponding to the contextual data restrictive condition as an optimization of computing resource state Optimal control.Preferably, which can be the optimal local anchor point of selection, and the selection knot based on local anchor point Fruit completes the function of the mobile management control plane of local anchor point.By the selection of the local anchor point, can optimize towards meter The signaling forward-path for calculating control plane in the mobile management framework of unloading business improves mobile management control to reach The purpose of plane performance.Certainly, the optimal control result of control plane is not limited to the selection of local anchor point, can also be based on it The optimal control result of his optimization aim and restrictive condition progress.
So far, the control plane optimization method flow of mobile management terminates in the application.
Present invention also provides a kind of control plane optimal controllers towards the mobile management for calculating unloading business (Computation Offloading Service aware Mobility Management Optimization Controller for Control Plane, MMOC-CP-COS), it can be used for implementing above-mentioned control plane optimization method.Figure 5 be the basic structure schematic diagram of the controller.As shown in figure 5, the controller includes：MMOC-CP-COS resource state informations are united Meter and analysis module, mobile management control plane Optimal Decision-making module and control plane optimization module.
Wherein, MMOC-CP-COS resource state informations statistics and analysis module, for by macro base station, micro-base station, wireless In the cluster for the isomery Hierarchical Mobile Radio Access Network that access point is formed, periodically collect and mobile management control plane phase The network resource status information of pass to being analyzed after the network resource status information pre-processing of collection, and analysis result is made For the contextual data corresponding to network resource status；It is additionally operable to periodically collect each calculating unloading collaborative controller institute in cluster The cooperated computing unit of category with the relevant computing resource status information of mobile management control plane, to the computing resource of collection It is analyzed after status information pretreatment, and using analysis result as the contextual data corresponding to computing resource state.
Mobile management control plane Optimal Decision-making module, is used to determine whether to need to carry out control plane optimization, and When determining progress control plane optimization, control plane optimization module is notified.
Control plane optimization module currently corresponds to network for export network resource status statistics and analysis module What the contextual data and computing resource statistic and analysis module of resource status exported currently corresponds to computing resource state Contextual data restrictive condition as an optimization carries out the optimization of control plane according to the specified optimization aim of control plane, and according to Optimum results complete optimal control, and then complete the function of mobile management control plane.
The specific embodiment of a MMOC-CP-COS is given below.Fig. 6 is the structure of MMOC-CP-COS in the embodiment Schematic diagram.As shown in fig. 6, MMOC-CP-COS includes MMOC-CP-COS resource state informations collection module, mobile management control Plane optimizing decision-making module processed and control plane optimization module.Wherein, mobile management control plane Optimal Decision-making module includes Mobile management control plane performance monitoring submodule, mobile management control plane Performance Evaluation submodule and mobile management Control plane Optimal Control Strategy input parameter generates submodule, and control plane optimization module includes mobile management control plane Optimal Control Strategy submodule and mobile management control plane Optimal Control Strategy output sub-module.
In figure 6, each module and the function of submodule completion include：
1, MMOC-CP-COS resource state informations statistics and analysis module：This module is directed in system and mobile management The relevant network resource status information of control plane and computing resource status information are monitored, and provide analysis and prediction letter Breath.The submodule that this module includes has the Information Statistics of MMOC-CP-COS network resource status and analysis submodule, MMOC-CP- COS computing resources state information statistics and analysis submodule.Fig. 7 gives MMOC-CP-COS resource state informations statistics and divides Analyse the submodule composition of module.
(1) Information Statistics of MMOC-CP-COS network resource status and analysis submodule：This submodule includes MMOC-CP- COS network resource status information collection module, preprocessing module, data analysis module, prediction module and converging information module.Tool For body, MMOC-CP-COS network resource status information collection module is periodically collected and mobile management control plane phase The network resource status information of pass, and this part network state information is input in preprocessing module and is pre-processed, it is pre- to locate It is handled in information input to data analysis module after reason, exports the network state prediction based on the network state information Information and converging information according to predictive information and converging information information as a result, generating and exporting the field based on the network state information Scape data, this contextual data is input in mobile management control plane performance monitoring submodule, to become mobile management Control plane performance monitoring submodule generates mobile management control plane performance state information and mobile management control plane Optimal Control Strategy input parameter generates the network resource status information input foundation of submodule.
Optionally, it is analyzed for the relevant network resource status information of mobile management control plane, it is therein Analysis can be the analysis mode based on statistical analysis and/or based on artificial intelligence.For example, can be believed according to active block state Breath is based on intelligent algorithm, including but not limited to machine learning algorithm, to Internet resources in conjunction with web-based history status information Status information is analyzed and predicted, and prediction result information is summarized with analysis result information into row information, and output is based on network The contextual data of resource state information.The contextual data of generation includes but not limited to：It is relevant with mobile management control plane Network topology, link bandwidth, the handling capacity of control plane, the Internet usage amount of given link, is specified at networking status information Network resource utilization, system communication cost of link etc., and in this, as towards the mobile management control for calculating unloading business The optimization foundation of plane optimizing control strategy submodule processed, Fig. 8 give the Information Statistics of MMOC-CP-COS network resource status and Analyze the composition of submodule.
(2) MMOC-CP-COS computing resources state information statistics and analysis submodule：This submodule is used for collecting and analyzing With the relevant computing resource status information of mobile management control plane, the module that this submodule includes has MMOC-CP-COS meters Calculate resource state information collection module, preprocessing module, data analysis module, prediction module and converging information module.Specifically Say, MMOC-CP-COS computing resource state information collection modules periodically collect its affiliated cooperated computing unit with movement Property the management relevant computing resource status information of control plane, and this part computing resource status information is input to pretreatment mould Block is pre-processed, and the computing resource status information of output, which is input in data analysis module, to be analyzed, and exports computing resource Status prediction information and converging information based on above- mentioned information as a result, and being generated and exporting the field based on the computing resource status information Scape data.This contextual data is input in mobile management control plane performance monitoring submodule, to become mobile management Control plane performance monitoring submodule generates mobile management control plane performance state information and mobile management control plane The correlation computations resource state information that Optimal Control Strategy input parameter generates submodule inputs foundation.
Optionally, it is analyzed for the relevant computing resource status information of mobile management control plane, it is therein Analysis can be the analysis mode based on statistical analysis or based on artificial intelligence.For example, status information can be calculated according to effective, Status information is calculated in conjunction with history, intelligent algorithm, including but not limited to machine learning algorithm are based on, to computing resource state Information is analyzed and predicted, and carries out converging information according to prediction result and analysis, the contextual data of generation include but not limited to： With the relevant computing resource ability of mobile management control plane, computing resource group net topology, computing resource networking status information, Calculate the calculating of unloading assembly status information, the variation characteristic information, cooperated computing unit of the unloading request of the mobile computing of user Resource usage amount, computing resource utilization rate and the relevant cost of system-computed etc., and in this, as towards calculating unloading business Mobile management control plane Optimal Control Strategy submodule optimization foundation.Fig. 9 gives MMOC-CP-COS computing resources The composition of state information statistics and analysis submodule.
2, mobile management control plane Optimal Decision-making module is used to determine whether to need to carry out control plane optimization, and When determining progress control plane optimization, control plane optimization module is notified.This module includes mobile management data controlling Submodule, mobile management control plane Performance Evaluation submodule and mobile management control plane optimal control input can be monitored Parameter generates submodule.
(1) mobile management control plane performance monitoring submodule：This submodule is according to MMOC-CP-COS Internet resources shapes The resource of state Information Statistics and analysis submodule, MMOC-CP-COS computing resources state information statistics and analysis submodule output Status information periodically and is provided based on the shape in monitoring system with the relevant status information of mobile management control plane The mobile management control plane related performance indicators value of state information is controlled this performance index value as current mobility management The performance indicator status information of plane is sent to mobile management control plane Performance Evaluation submodule；
(2) mobile management control plane Performance Evaluation submodule：This submodule receives mobile management control plane Can monitor submodule transmission with the relevant performance indicator status information of mobile management control plane, according to the performance of this module Assessment algorithm carries out the assessment based on control plane particular characteristic index to current mobile management control plane performance, and Output performance assessment result returns to the performance index value when performance evaluation result meets preset particular characteristic index value Mobile management control plane performance monitoring submodule, mobile management control plane performance monitoring submodule continue periodically Monitor the relevant performance state information of mobile management control plane；Refer to when performance evaluation result does not meet preset particular characteristic When scale value, current performance indicator status information is output to mobility pipe by mobile management control plane Performance Evaluation submodule It manages control plane Optimal Control Strategy input parameter and generates submodule.
(3) mobile management control plane Optimal Control Strategy input parameter generates submodule：This submodule receives shifting The performance indicator status information of mobility management control plane performance estimation module generates excellent based on the performance indicator according to the information The mobile management control plane Optimal Control Strategy input parameter of change, and the input parameter is output to mobile management control Plane optimizing control strategy submodule.
3, control plane optimization module is currently corresponded to for export network resource status statistics and analysis submodule The contextual data and MMOC-CP-COS computing resource states of MMOC-CP-COS network resource status statistics and analysis submodules are united Meter and analysis submodule output currently correspond to the contextual data of computing resource state restrictive condition as an optimization, according to control The specified optimization aim of plane carries out the optimization of control plane, and completes mobile management control according to optimal control result and put down The optimal control in face.This module includes that mobile management control plane Optimal Control Strategy submodule and mobile management control are flat Face Optimal Control Strategy output sub-module.
(1) mobile management control plane Optimal Control Strategy submodule：This submodule controls flat according to mobile management Face Optimal Control Strategy input parameter generates the mobile management control plane Optimal Control Strategy input parameter of submodule input, Specific control plane performance indicator target as an optimization is selected, meanwhile, according to relevant with mobile management control plane at present Optimization problem is converted to the specific control for mobile management and put down by the restrictive condition of resource state information as an optimization Face performance indicator target as an optimization, using with the relevant resource state information of mobile management control plane as constraints Optimization problem carries out online or offline solution to the problem, it is excellent that optimal control result is output to mobile management control plane Change control strategy output sub-module；
(2) mobile management control plane Optimal Control Strategy output sub-module：This submodule receives mobile management control The mobile management control plane optimal control result information of plane optimizing control strategy submodule processed is based on the optimal control knot Fruit information is generated and is carried out to the relevant base station of this optimal control and/or wireless access point output for mobile management The control information of control plane optimal control.
By the control plane optimization method and optimal controller in above-mentioned the application, mobile management control can be carried out The optimization of plane.The handoff procedure example suitable for the application is given below.
Switching flow towards the mobile management for calculating unloading business includes the switching between the switching flow in cluster and cluster Flow.Based on the optimal control of above-mentioned mobile management Properties Control plane performance optimal controller, optimal control can be obtained As a result, for example, certain optimisation target and resource status restrictive condition optimum choice local anchor point can be based on, according to local anchor point Optimum choice as a result, completing towards switching flow between switching flow and cluster in the mobile management cluster for calculating unloading business.
Below once successfully for switching, to provide cutting between switching flow and the micro-base station cluster in micro-base station cluster respectively Change of current journey.
Figure 10 give it is a kind of towards calculate unloading business mobile management cluster in switching flow.Assuming that mobile subscriber It in switching, is carrying out based on the calculating unloading of the task, this calculating unloading task is related to SBSx, calculates unloading result and is moving It needs to return to mobile subscriber during employing family switching, currently through MMOC-CP-COS optimal controls, this micro-base station of selection The local anchor point of cluster is LA where SBS1, SBS2, and the function of MME is resided on LA.Therefore, this is based on cutting in micro-base station cluster The process of changing is related to mobile terminal, serving BS (Serving SBS1), target BS (Target SBS2), local anchor point LA, moves Mobility management (MME), gateway (S-GW) and the calculating serving BS SBSx for being carrying out calculating unloading task.Switching point For switching set-up procedure, hand-off execution process and switching complete process, the detailed process of this switching is given below：
The measurement report message based on received signal strength is sent to mobile terminal period what it adhered at present SBS1, the measurement report packet contain the signal strength information of possible multiple SBS in the coverage area of current user place, SBS1 determines whether user enters switching preparation state based on current measurement report, when measurement report information reaches switching threshold When, mobile subscriber enters switching set-up procedure.In switching set-up procedure, SBS1 is based on the several possible switchings being currently received SBS cell signal strength values send switching request to LA；LA completes access network trade-off decision when switching, and network is selected The information of the result of decision selected, i.e. target BS SBS2 is sent to SBS1, and SBS1 sends switching request to SBS2, and SBS2 is based on this Switching request is completed to allow whether control process, decision can allow the mobile terminal to be switched to for the receiving of the mobile terminal This SBS2 sends switching response message to SBS1, SBS1 and SBS2 if SBS2 allows mobile terminal to be switched to either own cell Between be transmitted status information interaction, switching set-up procedure terminate, into hand-off execution process.
In hand-off execution process, SBS1 sends switching command to mobile terminal, and path when being forwarded due to downlink data is still It does not update, therefore, downlink data is transmitted to SBS2 still via S-GW, LA1 to SBS1, then by SBS1；When mobile terminal is completed To after the random access and attaching process of SBS2, mobile terminal sends switch acknowledgment message to SBS2, and SBS2 is cut to LA transmissions Change confirmation；LA sends carrying path integration request to S-GW, was completed into switching to MME transmitting path switching requests, MME Journey.
In switching complete process, downlink data is interacted between S-GW and SBS1 and terminates status information, when MME receives carrying road When diameter transition response message, MME switches to LA transmitting pathes to be confirmed, LA switches to SBS2 transmitting pathes to be confirmed, SBS2 and SBS1 Between carry out the interaction of mobile-terminal text release information, SBS1 discharges the mobile contextual information of the mobile terminal；Subsequently Mobile terminal uplink and downlink data, such as from core network or from SBSx with calculate unload relevant data will be through SBS2 is sent to by LA.
Figure 11 give it is a kind of towards calculate unloading business mobile management cluster between switching flow.Assuming that mobile terminal It in switching, is carrying out based on the calculating unloading of the task, this calculating unloading task is related to SBSx, calculates unloading result and is moving It needs to return to mobile subscriber during employing family switching, through MMOC-CP-COS optimal controls, the places micro-base station SBS1 has been selected The local anchor point of cluster is LA1, and through MMOC-CP-COS optimal controls, the local anchor point of cluster optimization has been selected as where SBS2 LA2 resides the function of MME on LA2.Therefore, when mobile terminal will be switched to SBS2, SBS2 and SBS1 is not same Cluster, therefore, this based on the handoff procedure between micro-base station cluster be related to mobile terminal, SBS1, SBS2, LA1, LA2, MME, S-GW with And it is carrying out the calculating serving BS SBSx for calculating unloading task.Switching be divided into switching set-up procedure, hand-off execution process and Switch complete process, the detailed process of this switching is given below：
The measurement report message based on received signal strength is sent to mobile terminal period what it adhered at present SBS1, the measurement report packet contain the signal strength information of possible multiple SBS in the coverage area of current user place, SBS1 determines whether user enters switching preparation state based on current measurement report, when measurement report information reaches switching threshold When, mobile subscriber enters switching set-up procedure.
Switching set-up procedure, SBS1 based on be currently received it is several may switching SBS cell signal strength values, to LA1 sends switching request；In cluster of the cell that may switch due to mobile terminal not belonging to LA1, it is in another cluster head In the cluster of LA2, therefore, LA1 sends switching request to LA2, and LA2 completes access network trade-off decision when switching, provides network The result information of selection, i.e. target BS SBS2, LA2 send switching response message to LA1；LA1 send switching response message to SBS1；SBS1 sends switching request to SBS2；SBS2 is based on the switching request, and completing corresponding receiving allows control process, certainly Whether plan can allow the mobile terminal to be switched to this SBS2, if SBS2 allows mobile terminal to be switched to either own cell, SBS2 Switching response message is sent to SBS1；Status information interaction is transmitted between SBS1, LA1, LA2 and SBS2, into switching Implementation procedure.
In hand-off execution process, SBS1 sends switching command message to mobile terminal；During this period, since downlink data turns Path when hair not yet updates, and therefore, downlink data is transmitted to SBS2 still via S-GW, LA1 to SBS1, then by SBS1；When Mobile terminal is accomplished to after the random access and attaching process of SBS2, and mobile terminal sends switch acknowledgment message to SBS2, SBS2 sends switching to LA1 and confirms；LA1 sends bearing modification request to S-GW, enters to MME transmitting path switching requests, MME Switch complete process.
In switching complete process, downlink data is interacted between S-GW and SBS1 and terminates status information, and sends and carries to MME Path integration responds, and MME switches to LA2 transmitting pathes to be confirmed, LA2 switches to LA1 transmitting pathes to be confirmed, SBS2 and SBS1 is carried out Mobile-terminal text discharges the interaction of information, and SBS1 discharges the mobile contextual information in relation to the mobile terminal；On subsequent Downlink data, such as come from core network or SBSx unload relevant data and will be sent to SBS2 via LA2 with calculating.
A concrete application example of the application method is given below, Figure 12 gives a kind of based on control plane signaling number According to the mobile management control plane optimization method of communication overhead minimum, to illustrate the mobile management control plane of this patent Optimal control method.
As shown in figure 12, corresponding control plane optimization method includes：MMOC-CP-COS resource state information collection modules Periodically collection system currently with the relevant resource state information of mobile management control plane, MMOC-CP-COS resource shapes State information collection module will be collected into reports mobile management with the relevant resource state information of mobile management control plane Control plane performance monitoring submodule, mobile management control plane performance monitoring submodule provide the shifting based on the status information It is flat to be sent to mobile management control by the performance indicator state value of mobility management signaling data communication overhead for this performance index value Face Performance Evaluation submodule；Mobile management control plane Performance Evaluation submodule adjudicates current signaling data communication overhead Whether performance indicator state value meets preset threshold value, is currently controlled with mobile management if so, continuing periodically to collect Otherwise the performance indicator state value of current signaling data communication overhead is output to shifting by the relevant resource state information of plane Mobility management control plane Optimal Control Strategy input parameter generates submodule.Mobile management control plane Optimal Control Strategy Input parameter generates the property of signaling data communication overhead of the submodule based on mobile management control plane Performance Evaluation submodule It can index state value and relevant with mobile management control plane from MMOC-CP-COS resource state information collection modules It is defeated to generate the mobile management control plane Optimal Control Strategy minimized based on signaling data communication overhead for resource state information Enter parameter, and the input parameter is output to mobile management control plane Optimal Control Strategy submodule.Mobile management control Plane optimizing control strategy submodule processed generates the movement of submodule input according to control plane Optimal Control Strategy input parameter Property management control plane Optimal Control Strategy input parameter, select signaling data communication overhead minimum target as an optimization, according to Restrictive condition with the relevant resource state information of mobile management control plane as an optimization at present, optimization problem is converted to One for mobile management signaling data communication overhead minimum as an optimization target, using resource state information as constrain item The optimization problem of part carries out online or offline solution for the problem, optimum results is output to mobile management control plane Optimal Control Strategy output sub-module.Mobile management control plane Optimal Control Strategy output sub-module is based on the optimal control Result information generates the control information for optimizing control for mobile management control plane, and above-mentioned control information is sent out It is sent to and the relevant micro-base station of this optimization process and/or wireless access point, each and relevant micro-base station of optimum results information And/or wireless access point is based on mobile management control plane optimal control information, completes relevant optimal control operation.
In conclusion the application uses the mobile management control plane optimal controller towards calculating unloading business, with Optimization aim of the control plane communication overhead minimum as mobile management control plane passes through optimum option local anchor point position It sets, the transmission path of optimization mobile management control information can optimize the performance of mobile management control plane, improve movement The Quality of Service Experience of user.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention With within principle, any modification, equivalent substitution, improvement and etc. done should be included within the scope of protection of the invention god.

Claims (9)

1. a kind of control plane optimization method of mobile management, which is characterized in that including：
In the cluster of the isomery Hierarchical Mobile Radio Access Network formed by macro base station, micro-base station, wireless access point, periodically receive Collection and the relevant network resource status information of mobile management control plane, after the network resource status information pre-processing of collection It is analyzed, and using analysis result as the contextual data corresponding to network resource status；
In the cluster, periodic harvest respectively calculate unloading collaborative controller belonging to cooperated computing unit and mobile management The relevant computing resource status information of control plane, to being analyzed after the computing resource status information pretreatment of collection, and will Corresponding analysis result is as the contextual data corresponding to computing resource state；
When determination needs to carry out control plane optimization, by the contextual data for currently corresponding to network resource status and currently correspond to The contextual data of computing resource state is carried out as restrictive condition according to the specified optimization aim of mobile management control plane The optimization of the control plane, and according to the optimal control of optimum results completion mobile management control plane.
2. according to the method described in claim 1, it is characterized in that, after the network resource status information pre-processing of described pair of collection Carrying out analysis includes：Active block status information is extracted from the network resource status information of collection, according to the active block Status information, and combine historical network resource state, determine target network status information, to the target network status information into Row analysis.
3. according to the method described in claim 1, it is characterized in that, after the computing resource status information pretreatment of described pair of collection Carrying out analysis includes：It is collected from the cooperated computing unit belonging to controller and extracts effective calculating status information, according to institute It states and effectively calculates status information, in conjunction with history computing resource state, determine that target calculates status information, shape is calculated to the target State information is analyzed.
4. method according to claim 1,2 or 3, which is characterized in that the scene number corresponding to network resource status According to including：Network topology, networking status information, link bandwidth, control plane in mobile management control plane are handled up Amount, the Internet usage amount of given link, the network resource utilization of given link and/or the relevant cost of system communication； And/or
The contextual data corresponding to computing resource state includes：Computing resource energy in mobile management control plane Power, computing resource networking status information, calculates unloading assembly status information, the mobile computing of user at computing resource group net topology Unload variation characteristic information, the computing resource usage amount of cooperated computing unit, computing resource utilization rate and/or the system meter of request Calculate relevant cost.
5. according to the method described in claim 1, it is characterized in that, the determination needs to carry out the mode packet of control plane optimization It includes：It is determined according to the contextual data for currently corresponding to network resource status and the contextual data for currently corresponding to computing resource state Whether need to carry out control plane optimization.
6. according to the method described in claim 5, it is characterized in that, the basis currently corresponds to the scene of network resource status Data and the contextual data for currently corresponding to computing resource state determine the need for carrying out control plane optimization：According to working as The preceding contextual data corresponding to network resource status and the contextual data for currently corresponding to computing resource state monitor mobility pipe The status information of control plane is managed, and mobile management performance indicator state is determined according to the status information；According to the movement Property management of performance index state carry out mobile management in control plane Performance Evaluation, when assessment result is unsatisfactory for current demand When, it determines and needs to carry out control plane optimization；When assessment result meets current demand, it is excellent that determination need not carry out control plane Change.
7. a kind of control plane optimal controller of mobile management, which is characterized in that the controller includes：MMOC-CP-COS Resource state information statistics and analysis module, mobile management control plane Optimal Decision-making module and control plane optimization module；
The MMOC-CP-COS resource state informations statistics and analysis module, for by macro base station, micro-base station, wireless access In the cluster for the isomery Hierarchical Mobile Radio Access Network that point is formed, periodically collect relevant with mobile management control plane Network resource status information, to being analyzed after the network resource status information pre-processing of collection, and using analysis result as pair It should be in the contextual data of network resource status；It is additionally operable to periodically collect each calculating unloading collaborative controller institute in the cluster Belong to cooperated computing unit and the relevant computing resource status information of mobile management control plane, to the computing resource state of collection It is analyzed after information pre-processing, and using analysis result as the contextual data corresponding to computing resource state；
The mobile management control plane Optimal Decision-making module, is used to determine whether to need to carry out control plane optimization, and When determining progress control plane optimization, the control plane optimization module is notified；
The control plane optimization module, for exporting the MMOC-CP-COS resource state informations statistics and analysis module Currently correspond to and the contextual data of the relevant network resource status of mobile management control plane and computing resource state Contextual data is as restrictive condition, according to the specified optimization aim of control plane, carries out the optimization of the control plane, and according to Optimal control result completes the optimal control of mobile management control plane.
8. controller according to claim 7, which is characterized in that the mobile management control plane Optimal Decision-making module Including mobile management control plane performance monitoring submodule, mobile management control plane Performance Evaluation submodule and mobility It manages control plane optimal control input parameter and generates submodule；
The mobile management control plane performance monitoring submodule, for defeated according to the resource status statistics and analysis module The scene of the contextual data and computing resource state of the current and relevant network resource status of mobile management control plane gone out Data, monitor the status information of mobile management control plane, and determine mobile management performance indicator according to the status information State；
The mobile management control plane Performance Evaluation submodule, for according to the mobile management performance indicator state into The Performance Evaluation of row mobile management control plane determines that carrying out control puts down when assessment result is unsatisfactory for current demand Face optimizes, and the mobile management performance indicator state is sent to the mobile management control plane optimal control and is inputted Parameter generates submodule；
The mobile management control plane optimal control input parameter generates submodule, for according to the mobile management Energy index state generates mobile management control plane Optimal Control Strategy input parameter, and the input parameter is exported to institute State control plane optimization module.
9. controller according to claim 8, which is characterized in that the control plane optimization module includes：Mobility pipe Manage control plane Optimal Control Strategy submodule and mobile management control plane Optimal Control Strategy output sub-module；
The mobile management control plane Optimal Control Strategy submodule is used for according to the input parameter, by the resource The contextual data of statistic and the current and relevant network resource status of mobile management control plane of analysis module output With the contextual data of computing resource state the control is carried out according to the specified optimization aim of control plane as restrictive condition The optimization of plane, and optimum results are sent to the mobile management control plane Optimal Control Strategy output sub-module；
The mobile management control plane Optimal Control Strategy output sub-module, for being directed to according to optimum results generation Mobile management control plane optimizes the control information of control, and the control information is distributed to and this optimal control phase The base station of pass and/or wireless access point, for each and relevant base station of this optimal control and/or wireless access point according to institute State the optimal control operation that control information carries out mobile management control plane.
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