Research On The Design And Resource Allocation For 5G Network Slicing

The rapid development of mobile Internet,the explosive growth of data traffic,the connection of massive devices,and the ever-increasing type of services have created higher demands on mobile communications networks.The traditional single network deployment model can no longer meet the diversity of business types and service requirements of 5G networks.Therefore,the technology of network slicing has emerged.Based on Network Function Virtualization(NFV),network slicing can implement multiple virtual network functions(VNFs)on common x86 devices,in addition,operators can allocate VNFs and virtual resources for different network slices to meet the differentiated demands of multiple services in 5G networks.This paper firstly studies the 5G network slicing model,introducing and analyzing the functions of each layer of this model in detail.Based on this model,complying with the principles of logic integrity,isolation,and customization of the network slicing,guiding by business needs,one network slicing design scheme is proposed for 5G enhanced Mobile Broadband(e MBB)and ultra-Reliable and Low Latency Communication(u RLLC)scenario.In this solution,by allocating more wireless resources,computing resources,and storage resources for e MBB slice to meet the user's high-rate service requirements,the end-to-end transmission delays is reduced by deploying the u RLLC slice core network user plane to the Baseband Unit(BBU);Both slices implement centralized control of core network slices by sharing core network control planes,and the workflow of the two slices is described in detail.Finally,the OAI-based network slicing test platform was built by the combination of hardware and software,and the design scheme was verified and tested.The test results show that the e MBB slice can meet user's high-transmission-rate requirements,and u RLLC slice can reduce the end-to-end data transmission delay for usres,thus verifying the feasibility of the network slicing scheme designed in this paper.Because of the large differences on the demand of communication and computing resources for different network slice,this paper studies the joint allocation mechanism of communication and computing resources in network slicing.By establishing a mapping model of computing resources to communication resources,the intrinsic relationship and conversion relationship of them are clearly defined.Based on the conversion relationship, the resource utilization is defined as the ratio of system throughput to the consumption of computing resource.Maximum resource utilization is taken as the goal to establish constrained optimization model by taking into account the Qo S requirements of each network slice,the system bandwidth,and the number of computing resources.In the model,the joint allocation algorithm of communication and computing resources for network slicing is further studied.In this algorithm,the optimal allocation of communication bandwidth is solved by Newton method,and one improved hidden enumeration method is proposed to solve the 0-1 integer programming problem of computing resources.And through two methods,iteratively solve the optimal communication and computing resource joint allocation scheme.Finally,the simulation results show that the algorithm studied in this paper can achieve better resource utilization with less communication resources and computing resources consumption,thus verifying the effectiveness and feasibility of the algorithm.