Research On Energy-efficient Clustering Strategy And Resource Allocation Of D2D Multicast Communications

With the development of Internet applications,mobile data traffic has shown an explosive growth trend in wireless networks,resulting in the current wireless communication networks facing huge load pressure.On the other hand,the data transmission of the traditional cellular network needs to be forwarded by the base station,resulting in a reduction in the data transmission efficiency of the local content service.In addition,the battery life problem of mobile terminal equipment is becoming more and more prominent,resulting in the continuous increase of energy consumption of user equipment and the continuous shortening of running time.Therefore,a data transmission model suitable for local content services needs to be established to solve the problems of low data transmission efficiency and energy efficiency of mobile terminal devices.D2D(Device-to-Device)multicast communication technology can meet the requirement of multiple users requesting the same data at the same time.By avoiding the data being forwarded by the base station,the communication experience is deteriorated,which not only improves the data transmission efficiency,but also improves the system energy efficiency.However,the application of D2 D multicast communication technology needs to solve the following two main problems: 1)Due to the selfishness of user equipment,it is necessary to consider adding an incentive mechanism when performing D2 D multicast clustering,and fully consider the social and physical attributes of users,Design efficient user clustering algorithm.2)Since the multicast communication rate is determined by the user with the worst channel quality,it is necessary to design a reasonable resource allocation algorithm to improve the energy efficiency of the D2 D multicast communication system.Specifically,this paper mainly studies the user clustering and resource allocation of D2 D multicast communication.The main research content includes the following two parts:(1)In view of the selfishness of users in the clustering process of D2 D multicast communication,consider introducing an incentive mechanism,and at the same time comprehensively analyze the user's social and physical attribute measurement indicators to ensure the correct selection of cluster heads.For user equipment to form D2 D multicast clusters according to demand,a user clustering algorithm based on alliance formation game is proposed.The user equipment is defined as the participants of the game,and the D2 D multicast cluster is defined as an alliance.At the same time,the convergence and Nash stability of the proposed algorithm are proved.(2)Aiming at the problem that D2 D multicast communication is limited by users with the poorest channel quality in the multicast cluster and the interference of multiplexing cellular spectrum resources,a D2 D multicast communication resource allocation algorithm based on combined auction is proposed.Under the premise of ensuring the communication needs of cellular users,the energy efficiency of the D2 D multicast communication system is maximized.Due to the complexity of the resource allocation problem,this paper decomposes it into two equivalent sub-problems.Among them,the power control sub-problem solves the optimal transmission power of D2 D users,and the channel allocation sub-problem realizes the channel resource combination of D2 D multicast cluster multiplexing cellular users.Simulation shows that the proposed algorithm can effectively improve the energy efficiency of D2 D multicast communication system.