Energy Efficiency Key Technology Research Of D2D Communication Heterogeneous Network

With the rapid popularization of intelligent terminals and the explosive growth of network communication capacity,the demand for wireless communication service quality requirements and near field communication services in high density hotspots of users has been increasing.Meanwhile,with the appearance of high-definition and ultra-high definition content,the demand for quality audio and video sensory stimulation also imposes higher requirements on the network's concurrent processing capabilities and system capacity,as well as the energy transmission efficiency of the base station.As one of the potential technologies of the next-generation wireless communication,device-to-device(D2D)can better solve the problems of spectrum resource shortage and system energy consumption,which can enable the close-range users to directly perform end-to-end communication,without have to relay through the base station,greatly improve the system capacity and reduce the terminal energy consumption.This paper aims to the content distribution and traffic offloading environment,focuses on the system capacity and energy consumption of D2 D cluster-assisted communication in a co-located antenna system(CAS).With the characteristics of D2 D multicast communication can effectively improve the system capacity,proposes two kinds of clustering selection algorithm for D2 D cluster communication,a corresponding distribution mechanism is proposed at the data content distribution stage.This thesis first introduces the topic background,related concepts of D2 D communication,the research history and current situation,and the multicast application scenarios of D2 D heterogeneous network.Then we detailly introduce the geography-based cluster coalition algorithm(GCCA)and the signal to interference and noise ratio-based cluster coalition algorithm(SCCA)flow and content delivery mechanism,commonly used performance evaluation indicators.The main research work of this paper as follows:Firstly,proposes the GCCA preferentially partitions the geographical area of the cell,that is to divide the R/2 traditional cellular communication center area centered on the base station and the cluster coalition area outside the radius R/2.For the cellular users which are far away from the base station but still in good channel condition,as an alternative cluster head node and set the index of the user group,and then judge other users,when meeting certain distance threshold conditions,choose to join the corresponding virtual cluster head and set up the corresponding cluster combination.Each selected cellular users will no longer join the next cycle of selection queue.In the SCCA,signal to interference and noise ratio(SINR)is used to reflect the channel quality of the cellular users.The cluster selection criterion is considered by calculating the SINR value between the cellular user and the base station and between the each other,and select the appropriate cluster head nodes,determine the threshold interval of the user's SINR,select appropriate cluster members,and construct a D2 D heterogeneous communication network with a joint cluster coalition algorithm.Second,a content distribution framework is designed for the content distribution network and traffic offloading scenarios.We analyze the content distribution mechanism by sending information from the source node or the base station to actively push the corresponding commercial advertisement and marketing information(user passive situation)and the cellular user requesting the base station for the demand information to cause the base station to promptly respond passively(user initiative situation).Thirdly,according to the ideal energy consumption model and the actual power consumption model,the system capacity and energy efficiency index of adding cluster coalition algorithm in D2 D heterogeneous communication are simulated respectively.The simulation results are compared with the random communication mthod of traditional CAS,the system capacity and energy efficiency performance of the former is better,which verifies theoretical correctness of the algorithm.Meanwhile,after a amount of repeated data experiments can find the transmission power suitable for the base station.