Research On Resource Allocation Algorithm For NOMA-D2D Communication

D2D communication can effectively improve the spectrum utilization of heterogeneous cellular networks,increase cell capacity and reduce system energy consumption,which is one of the key technologies of next generation mobile communication.NOMA is similar to D2 D communication which can increase the system capacity by multiplexing spectrum and it is the current research hotspot.However,D2 D communication and NOMA will cause complex interference to the original cellular system,which may reduce the performance of cellular users.How to allocate system resources reasonably,so as to give full play to the advantages of D2 D communication is the difficulty and key of heterogeneous cellular network.This thesis mainly studies the resource allocation of cellular and D2 D users in heterogeneous cellular network,and proposes a channel allocation and power control algorithm based on NOMA and social relationship.The concrete contents are as followed:(1)A joint channel and power allocation algorithm based on the Stackelberg game is proposed.We first establish the system model including several cellular users and D2 D groups.Cellular users communicate through traditional cellular mode while D2 D groups communicate by reusing the channel resources of cellular users.In each D2 D group,NOMA is adopted to improve throughput.We also set the SINR threshold of each user to ensure the Qo S of the system.Secondly,we model the two-stage Stackelberg game in which cellular users are the leader and D2 D groups are the follower.The utility functions of cellular users and D2 D groups are defined with social relationships,respectively.By using KM and PSO based on penalty function,we finally obtain the optimal channel and power allocation.The convergence and computational complexity are discussed,respectively.The simulation results show that our algorithm can successfully strengthen the cooperation between users and improve the utility of cellular and D2 D users.(2)A D2 D cluster resource allocation method which combines channel allocation and power control is proposed.First,we present the system model of cellular users and D2 D users which includes D2 D content requesters and D2 D content providers.The utility function of D2 D content requesters is defined combined with the social relationship among D2 D users in order to form D2 D clusters.D2 D users in D2 D clusters communicate by reusing cellular channels.NOMA is used in D2 D clusters for many-to-one communication.In order to ensure the Qo S of each user,we also set the SINR threshold.Second,the resource allocation problem is decoupled into two sub-problems.Many-to-one matching game is used to allocate channels for D2 D clusters.The nonconvex optimization problem is transformed into a convex problem which can be solved by GA through SCA.Hence,we can easily obtain the optimal D2 D transmit power.We also discuss the convergence and the computational complexity,respectively.Finally,we set historical channel allocation set and obtain the stable solution through iterating over the two sub-problems.The simulation results show the superiority of our algorithm for it can significantly improve the system throughput.Moreover,by considering social relationship between users,we can obtain a more realistic resource allocation scheme.(3)A cellular and D2 D resource allocation method based on joint channel allocation and power control is proposed.Firstly,the system model of cellular users and D2 D users is established.In this model,cellular users communicate with BS by NOMA,D2 D users communicate by multiplexing channels of BS,and we set the SINR of each user to ensure the Qo S.Then,the resource allocation can be decomposed into three sub-problems.GA is used to solve the channel allocation problem.By using the SINR,we derive the power of cellular users.MOOP and DC algorithm is used to convert the optimization objective into convex function to solve the optimal D2 D transmission power.We discuss the convergence and complexity of the algorithm.Finally,the stable solution is obtained through iteration.The simulation results show that the proposed algorithm can significantly improve the D2 D energy efficiency and reduce the energy loss in cellular NOMA-D2 D system.