Research On Antenna Selection Technology For Large-Scale MIMO System

Massive MIMO is a further extension of traditional MIMO technology.The core idea of Massive MIMO is to deploy more antennas at both ends of MIMO communication system,usually dozens or even hundreds of antennas.Large-scale MIMO technology can improve system performance without increasing bandwidth for the same time-frequency resources.But because the deployment of antenna number increased,accompanied by a system of performance improvement at the same time,the hardware cost of the system and radio frequency power consumption also will increase,as much as possible in order to reduce the cost of the hardware and the system of the radio frequency power consumption,antenna selection technique is an effective method,but as a result of numerous large-scale antenna in the MIMO system,some of the antenna selection algorithm for MIMO system cannot achieve good results.Therefore,this paper focuses on the antenna selection technology of large-scale MIMO communication system.This paper mainly completes the following work:Firstly,this paper reviews the antenna selection techniques,studies the channel capacity definition of large-scale MIMO systems,and compares the advantages and disadvantages of the classical antenna selection techniques.Based on the application background of large-scale MIMO system,the selection criterion of capacitymaximizing antenna is simplified,and the concept of rectangular maximum volume subarray(RMVS)is introduced,and a new selection criterion of antenna is proposed.This antenna selection criterion determines the selected antenna by calculating the volume of channel matrix corresponding to the candidate antenna set.Secondly,based on this new antenna selection criterion,the paper puts forward a kind of grouping based on the optimal joint to send and receive antenna selection algorithm,this algorithm first candidate antenna grouping,and then in each antenna group using the exhaustive search method to choice of antenna,finally by comparing each group choose the antenna in the corresponding to the size of the channel capacity,take the maximum capacity as the corresponding antenna subset selected antennas.The effectiveness of the Packet Optimal Transmitting Joint Antenna Selection algorithm is verified by experimental simulation when the antenna size is large.And then,aiming at the shortcoming of the selection algorithm based on binary particle swarm antenna,a binary genetic algorithm is proposed,which is used to optimize the selection algorithm of packet optimal transceiver joint antenna,and a selection algorithm based on binary genetic algorithm is proposed.The algorithm converts the candidate antenna set into binary array elements by binary coding the transmitting and receiving antennas.0 means that the antenna is not selected,and 1means that the antenna is selected.By setting a certain generations,the population is multiplied by crossover,mutation and other operations.After reaching the number of iterations,the optimal individual is output,that is,the optimal antenna subset.Simulation results show that this method has faster convergence effect than binary particle swarm antenna selection algorithm.