USER SELECTION FOR THE CAPACITY MAXIMUM IN MULTIUSER MIMO SYSTEM
Multi-user Multiple-input multiple-output (MU-MIMO) scheme is extensively investigated as a promising technology of providing high spectral efficiency for future wireless communication systems. In previous works, the multi-user spatial multiplexing system has no special strategies for the computational cost and worst channel-case user. The exhaustive search algorithm can achieve optimal performance. However, its cost is large. In this paper, we propose a suboptimal user selection for the MU-MIMO system. The proposed algorithm maximizes total throughput by utilizing an approximately equivalent relation between the capacity and the singular value of channel matrix. To reduce the complexity further, we give out an iterative selection scheme. Compared with the optimal algorithm, the proposed algorithms achieve good sum capacity performance, have lower complexity, and are suitable for practical communication system. Simulation results show the feasibility and effectiveness of the proposed user selection algorithm.
Multiuser multi-input multi-output (MU-MIMO) system User selection Signal-to-noise(SNR) Capacity Precoding
ZHIBIN XIE JINKUAN WANG JING GAO YUN WANG
Northeastern University at Qinhuangdao, Shenyang, Liaoning Province, 110004, China
国际会议
The Second International Conference on Information & Systems Sciences(ICISS2008)(第二届信息与系统科学国际会议)
大连
英文
710-718
2008-12-18（万方平台首次上网日期，不代表论文的发表时间）