5G Dynamic Mobility Management Design Based On Service-aware

Mobility management is one of the important contents of 5G technology research.With the development of the Internet of Things and artificial intelligence technology,the scales of mobile terminals will increase exponentially in forthcoming days.How to efficiently manage these massive mobile terminals is one of the hot-spots in academic research.In addition to traditional smart phones,5G terminals also have a variety of IoT devices,which have differential requirements for speed,delay and reliability.These requirements bring many new challenges to 5G mobility management.This thesis builds a dynamic mobility management strategy based on the different types of service,which is called a Service-aware Dynamic Mobility Management(SDMM).SDMM combines network slice technology to mobile edge computing technology.The Mobility Management Network Slice Selection Assistance Information(MM-NSSAI)and the handover management procedure supporting network slicing are designed.Based on the computing resources of MEC,this thesis presents a brief architecture which consist of four modules,including location record,path extraction,feature generation and service-aware.Otherwise,a Centroid Aiming Model(CAM)is proposed to simulate the movement of group users while using the least squares method for motion prediction.In addition,a group-based mobility management scheme and a meteor-shape dynamic tracking area partitioning algorithm are proposed and then simulated by MATLAB.The simulation results show that the group-based mobility management scheme can effectively reduce the management overhead of low-speed group users,and the dynamic meteor-shape tracking area division can reduce the overhead caused by frequent tracking area updates.