Resource Allocation For D2D Communication Under-laying Cellular Network

With the rapid development of mobile communication services,spectrum resources are becoming increasingly scarce,and it is difficult to meet the increasing demand for new multimedia applications for mobile smart terminals and their applications.D2D communication technology achieves data sharing and transmission between neighboring devices by reusing resources of cellular users,which can reduce base station load,terminal energy consumption,and transmission delay,thereby improving network resource utilization,system capacity,and user experience.Therefore,it is of great significance to carry out research on D2D communication resources allocation.In the application process of D2D communication technology,it is necessary to avoid inefficiencies caused by the same-frequency interference.Therefore,the D2D resource allocation problem has attracted widespread attention from domestic and foreign scholars,but resource allocation research under the two communication modes of D2D unicast and multicast still has the following problems to solve.In terms of unicast communication,a single uplink or downlink spectrum multiplexing method is often used,and the performance of local users(D2D users or cellular users)is promoted,and the overall performance of the cellular system is neglected.In multicast communication,although attention is paid to the improvement of network performance,the issue of terminal energy consumption and the impact of social networks on D2D multicast communication are ignored.In view of the above problems,this paper focuses on D2D unicast and multicast scenarios and separately develops a joint downlink and uplink resource allocation for D2D communication,a 3-D matching resource allocation for D2D communication in heterogeneous network,a energy efficiency resource allocation based on Bipartite Graph for D2D multicast communication,a social-aware resource allocation for D2D multicast communication four aspects of research,the main research content is as follows:(1)For reusing only uplink or downlink spectrum resources in D2D unicast communication,resulting in limited spectrum utilization,we propose a D2D resource allocation scheme based on joint reusing of uplink and downlink frequency spectrum in a single base station.This scheme considers the parameters such as channel allocation factors,cellular user SINR requirements,and D2D transmitter power,then constructs a mixed integer programming problem that maximizes the throughput of D2D users.For this problem,a three-phase method is proposed,namely spectrum reuse mode selection,channel allocation and power allocation.The simulation verified that D2D throughput of this scheme is improved by about 40%compared to the method of reusing uplink spectrum resources alone.(2)For D2D resource allocation in heterogeneous multi-base stations,focusing only on the performance of local users and ignoring the overall performance improvement of the system,3-D matching resource allocation for D2D communication in heterogeneous network is proposed.This scheme establishes a non-linear integer optimization problem of joint power and channel allocation,while guaranteeing the quality of service of each layer of macro-cells,micro-cells,and D2D networks.And using 3-D geometric programming method and hypergraph matching method to achieve the maximum overall system throughput.The simulation show that the overall system throughput of this scheme is improved by about 55%compared to the two-dimensional minimum zero-priority allocation algorithm.(3)For D2D multicast research only focus on improving performance while neglecting terminal energy consumption,energy efficiency resource allocation based on Bipartite Graph for D2D multicast communication is proposed.This scheme considers factors such as user service quality and maximum transmit power,then builds a multi-objective optimization problem that minimizes terminal energy consumption and maximizes the access rate of D2D multicast groups.The geometric programming method is used to find the optimal power allocation when a single D2D multicast cluster shares resources with a single cellular user.The best channel matching results of D2D multicast cluster and cellular user sets are found based on Bipartite Graph model.The simulation show that this scheme reduces the power consumption of the terminal by about 5%,and the D2D access rate increases by about 10%,compared to the classical reverse sorting method.(4)For D2D multicast research without considering the impact of social networks on resource allocation,a social-aware resource allocation for D2D multicast communication is proposed.The scheme comprehensively considers factors such as the social relationships,the centrality of the social domain,and the physical distance of the physical communication network,then constructs a social-physical relationship diagram between users.A greedy D2D multicast clustering algorithm is proposed based on iterative idea and on this basis,the system throughput is maximized by further integrating one-to-many matching resource allocation algorithm.The simulation show that this scheme improves overall system throughput by about 50%compared to classical stochastic algorithms.