Research On Transmission Service Model And Resource Management Technology Of 5G Core Network

5G services are mainly classified into enhanced mobile broadband service,massive machine type communication and ultra reliable and low latency communication,which has put forward strict requirements for key performance indicators of data transmission.In order to satisfy the performance requirements of service in different use cases,network slicing technology is proposed to provide customized service to improve the overall performance of the communication system.The research work in this paper mainly focuses on ultra reliable and low latency communication(URLLC),which has the transmission characteristics of low latency and high reliability.The research on service model,network slice support and resource management technology is the requirement of design and planning for communication system.The staple work of this paper is to study the URLLC service model,network slicing and resource management schemes of 5G core network.The basic principles and features of traditional service model are introduced at first,its incompatibility for URLLC service modeling is expounded as well.The study of network slice management architecture and SON technology is the theoretical basis work for proposal research of network slice technology standard in 3GPP core network.The principle introduction and simulation work for traditional resource allocation methods have verified its characteristics.However,the traditional algorithms can not meet the performance requirements of URLLC service and network slicing.In this paper,URLLC is modeled by a two-layer service model including a session layer and a packet layer.The session layer describes the session request characteristics through the session arrival interval and the session size.The inter arrival time and size of the packet are used to describe the characteristics of packet layer.Furthermore,the electricity distribution automation service,industrial automation monitoring service,control automation service,cloud computing games enhanced driving service under eV2 X scenario and telemedicine service are modeled and simulated,the data rate of each service is analyzed as well.By comparison of the data rate characteristics of simulation result and references,it can be obtained that the adopted two-layer service model has a certain degree of accuracy.For the key issues that have not solved in 3GPP related to network slice core network part and URLLC,the corresponding solutions are proposed in this paper.A finer granularity core network slicing method under reasonable management complexity is used to provide customized service for URLLC with different QoS requirements.In addition,a shared network slice management solution based on QoS monitoring can realize the isolation of management data between different services in the shared slice core network part.The SON technology is also proposed to apply for network slice management,which can achieve the automatic optimization of network resource configuration and QoS status in the slice to improve the overall performance of network.Finally,the joint utility function of spectral efficiency and power efficiency is adopted as the optimization target to achieve the scheduling and resource allocation of URLLC slice through the control plane in the core network,which can satisfy the latency,data rate and power requirements for different slices.This algorithm can realize the performance requirements balance between the throughput and power consumption for each slice by defining a specific value of the bias factor.The optimization problem is solved by an iterative algorithm.The simulation result shows that the joint utility of the resource allocation method used in this paper is better than the maximum throughput algorithm and can achieve the tradeoff between throughput and power consumption for different slices.