多用户分布式MIMO-OFDM系统中天线与子载波分配算法研究

摘要

本文针对多用户分布式MIMO-OFDM系统中的资源联合分配问题,提出了一种基于端口选择的天线与子载波分配算法.该算法依据计算复杂度容限设定用户通信静态端口数,以此为每个用户选取信道状况最好的通信端口进行通信,进而通过天线端口与下属用户的相互配合,并行地完成天线与子载波的分配.仿真结果表明,该算法在系统天线数大于用户数的情况下容量性能优于MASA算法,且其端口并行处理机制可以有效提高资源分配效率.%An antenna & sub-carrier allocation algorithm based on port selection is proposed to solve the resource co-allocation problem in multi-user distributed MIMO-OFDM systems. For each user the algorithm selects the best communication ports, the number of which is set in accordance with the computation complexity tolerance. With the coordination between antenna port and its users-, the algorithm can allocate antennas and sub-carriers in parallel. Simulation results indicate that the capacity performance of the algorithm is better than that of MASA algorithm when there are more antennas than users, and the ports parallel processing mechanism can enhance the resource allocation efficiency effectively.