大规模MIMO系统上行链路性能分析.docx

Abstract Mobile communications come into the 4G era. Two key techniques, MIMO and OFDM were introduced into the 4G. MIMO technique, which can provide great potential for improvement of the spectral efficiency and transmission performance of wireless links, has been widely researched and applied. Recently, experts and scholars also proposed the large scale MIMO technique, that scales up MIMO by an order of magnitude compared to current state-of-art. Meanwhile, it can greatly enhance the overall performance of the system. Therefore, it's important to do further research on the massive MIMO. This paper mainly considers the uplink performance of large scale MIMO system, assuming a base station has perfect channel state information(CSI) and serves many single antenna users.The data is detected by the linear receivers. Firstly, this part considers a multi-user single-cell system, the closed-form expression of uplink rate as well as a lower bound on the achievable rate are derived when the number antennas of BS tend to different values. We further study the asymptotic system performance in the regimes of different SNR, large number antennas of BS. Meanwhile we also discuss the performance comparison of MRC,ZF detection algorithm. Secondly, on the basis of the previous research, we consider a multi-user multi-cell system, the data is detected by ZF receiver. This part also derives the uplink rate expression and a lower bound rate, as well as studies the asymptotic system performance in the regimes of different SNR, large number antennas of BS. Finally, the part discusses the impact of frequency reuse factor and intercell interference on the multi-cell system, and gives the corresponding conclusions. The given simulation results verify the theoretical analysis, show that increasing the transmit power of each user can't improve the system performance. Instead, by increasing the number of BS antennas, the effects of in