Optimal Antenna Deployment for Multiuser MIMO Systems Based on Random Matrix Theory

摘要

This paper investigates the issues on optimal antenna deployment at a base station to maximize downlink ergodic sum-rate capacity. We analyze the ergodic sum-rate capacity of a multiuser multiple-input–multiple-output (MIMO) system using random matrix theory, and the analysis reveals that such a capacity depends largely on the deployed antenna structure. Moreover, we have found an optimal antenna configuration based on the proposed particle swarm optimization (PSO) algorithm to maximize the ergodic sum-rate capacity. The theoretical results on downlink ergodic sum-rate capacity match simulation results very well, validating the accuracy of the theoretical analysis. The simulation results show that the proposed optimal antenna configuration offers the largest downlink sum-rate capacity with the best bit error rate (BER) performance compared with uniform linear arrays (ULAs) and uniform circular arrays (UCAs). It is concluded that the optimal antenna coordinates can be predetermined before deploying the antennas in a given base station.