Research On High Survivability RAN Slicing Model And Deployment Strategy In 5G Optical Transport Network

5G mobile communication technology is committed to responding to emerging business scenarios and meeting the differentiated service quality requirements of vertical industries.For this reason,network slicing technology is proposed as a promising solution.However,the centralized architecture of the existing radio access network(Radio Access Network,RAN)will cause multiple RAN slices to fail to provide services when the fiber link or the server in the processing pool fails.The losses caused to high-reliability application scenarios such as unmanned driving,industrial interconnection and automation are irreparable.Therefore,how to construct highly survivable RAN slices and provide differentiated protection solutions for different application scenarios is currently an urgent problem to be solved.This paper proposes a coordination protection mechanism,and builds a RAN slice deployment model and two heuristic strategies based on this mechanism.At the same time,a resource management and control platform supporting RAN slice fault handling and service recovery is built,and the proposed algorithm is implemented on the platform.The main work and innovations of this paper are as follows:(1)In this paper,according to the differentiated protection requirements of RAN slices in different application scenarios,a high survivability RAN slice model based on coordinated protection mechanism is constructed.The model uses the flexible baseband function partition RAN architecture for reference,and aims to minimize the network resource usage,while satisfying the constraints of slice isolation,continuity of baseband functions,delay constraints,and computing and bandwidth resource constraints,fully considers various factors that affect RAN slice deployment.Based on this model,two heuristic algorithms are proposed,namely,the algorithm based on scoring mechanism(A-Score)and the algorithm based on greedy strategy(A-Greedy).The simulation results show that the two heuristic algorithms can achieve performance close to the optimal solution of integer linear programming(ILP),and effectively improve the availability of slices.Under the same protection level,the A-Greedy algorithm consumes less network resources and has better resource efficiency,but the A-Score algorithm takes less calculation time than the A-Greedy algorithm.(2)Aiming at the problem of data plane fault monitoring and service recovery,this paper designs and implements a resource management and control platform supporting RAN slice fault processing and service recovery based on the architecture design ideas of software defined network(SDN)and network function Virtualization(nfv).The platform implements the RAN slicing deployment strategy proposed in Chapter 3.By combining existing network hardware devices and integrating OpenDaylight(ODL),OpenvSwitch(OVS),Kubernetes and other open source projects,it realizes the automated RAN slicing fault handling function of the platform.This paper uses plugging and unplugging optical fibers and artificially shutting down the containers and nodes in the cluster to simulate RAN slice link failures and computing resource failures respectively.Experiments verify the platform's automated closed-loop processing functions from failure monitoring to service recovery.