Research On Antenna Selection Technology Of Distributed MIMO System

With the rapid development of wireless communication technology,people's requirements for communication quality and speed have also increased dramatically.How to solve the channel capacity and spectrum utilization problems of communication systems under the condition of limited spectrum resources has become one of the most important issues at present.Since multiple input multiple output(MIMO)technology can effectively improve the channel capacity and spectrum utilization of the system,and the distributed antenna system has the advantages of wide coverage and fast transmission rate.Therefore,a distributed MIMO system combining these two technologies has emerged.Distributed MIMO systems inherit the advantages of both and have received wide attention.However,due to the application of multiple antennas,the system complexity is greater and the hardware cost is higher.Antenna selection techniques can effectively improve these problems.Therefore,how to properly apply antenna selection technology to distributed MIMO systems has become the focus of this paper.Based on the traditional MIMO technology,this paper focuses on the distributed MIMO system and studies the application of antenna selection technology in MIMO systems and distributed MIMO systems.Firstly,this paper studies the channel capacity of MIMO system,and then studies the channel capacity of distributed MIMO systems.The performance of distributed MIMO systems and centralized MIMO systems is analyzed by simulation.Secondly,the effects of several classical antenna selection algorithms on MIMO systems are studied.Then combined with particle swarm optimization,an optimization algorithm for MIMO system is proposed.The algorithm mainly improves the convergence of binary particle swarm optimization algorithm by improving the fuzzy function,and simulates the performance of the algorithm.Finally,this paper studies the effects of classical antenna selection algorithms on distributed MIMO systems,and analyzes the performance of these algorithms through simulation.A new antenna selection algorithm based on distributed MIMO system is proposed.The algorithm considers the system energy efficiency and antenna selection.The simulation results show that compared with the exhaustive algorithm,the algorithm can effectively reduce the computational complexity of the system,reduce the channel capacity damage,and the system energy efficiency approaches the optimal algorithm.