Research On Adaptive D2D Multicast Clustering Algorithm And Channel Allocation And Power Control For 5G Network

In order to solve the rapid increase in terminal and data traffic and lack of spectrum resources caused by the gradual popularization of communication equipment in recent years,one of the key technologies of the fifth-generation mobile communication system(5G)has been introduced into the traditional cellular network.Device to Device(D2D)communication technology can effectively improve the total system capacity,energy efficiency,access rate and reduce base station load.As a D2 D communication method,D2 D multicast communication is better suited to dense communication scenarios where multiple terminals request the same data than unicast.However,compared with unicast communication,multicast needs to divide users into different clusters for user-intensive scenarios and realize one-to-many data transmission within the clusters.Therefore,a reasonable clustering strategy is crucial to the stability of multicast system.In addition,there will be mutual interference between the cellular and cluster users when the multicast cluster multiplexes the channel resources of the cellular users,but most of the existing research on spectrum efficiency for coordination,ignored the system energy consumption,thus design a both can improve spectrum efficiency and satisfy the low-energy multicast resource allocation become a serious challenge.Based on the above problems,this paper studies the clustering algorithm and channel and power control for 5G network under one-to-one multiplexing scenario,and proposes the adaptive D2 D multicast clustering algorithm based on social and physical domain and multicast resource allocation scheme.The main work is as follows:(1)An adaptive D2 D multicast clustering algorithm combining the social and physical domain is proposed aiming at the time-variability of the number of reusable channels in the D2 D multicast network and the low user access rate.First,according to the social relationship and physical distance between users and count the intimacy value of each user,a user intimacy matrix is constructed;then,according to the number of channels and channel state information,a cluster member intimacy threshold is adaptively generated in a piecewise function;Finally,when selecting cluster member users,the intimacy threshold is used to filter the cluster,so that the final clusters matches the reusable channels in quantities as much as possible,thereby increasing the access rate of D2 D multicast users.The algorithm proposed can adjust the number of clusters adaptively according to the relationship between the user in the social and physical domain,and effectively improve the access rate of D2 D multicast communication users to a certain extent compared with the greedy iterative algorithm according to the simulation results.It is helpful for the implementation of large-scale scenarios in 5G in the future.(2)A D2 D multicast resource allocation algorithm based on joint channel and power modulate is proposed to solve the issue of the tradeoff between spectral efficiency and energy efficiency in D2 D multicast communication.Firstly,under the condition that the communication quality of multicast users is satisfied and the maximum transmitting power is limited,the model is established to improve the total energy efficiency of multicast cluster.Then,the Hungarian algorithm is used to manage channel allocation to maximize the total throughput of multicast cluster.Then,we analyze and improve the finder updating step and the strategy of the participant approaching the finder in the sparrow search algorithm.Finally,the transmitted power of D2 D multicast cluster is adjusted by using the improved sparrow search algorithm(ISSA).Compared with the standard sparrow search algorithm and frog jump algorithm,the proposed algorithm can effectively improve the total energy efficiency of multicast clusters under the condition of satisfying the user communication quality and the limitation of the maximum transmission power according to the simulation results.It has a certain significance for the implementation of 5G green communication.