空时复用多用户MIMO系统联合天线选择

Multi-user multi-input multi-output (MU-MIMO) spatial multiplexing system is a downlink transmission technique. The challenge is to design transmit and receive processing methods to decompose the MU-MIMO downlink channel into multiple parallel independent single user MIMO downlink channel. And the configuration of MU-MIMO system is complex, it makes the cost is very high. Aiming at these problems, this paper proposes a low complexity precoding scheme for MU-MIMO system. Compared with the traditional precoding algorithm, the proposed algorithm has lower computational cost, and can get good performance. For providing more transmitting diversity gain, this paper proposes a preprocessing algorithm to optimizing the system performance. And for reducing the hardware cost, this paper give out a joint antenna selection algorithm based on error rate. The proposed antenna selection algorithm can achieve similar bit error rate (BER) performance as the preprocessing optimal method, and get satisfactory tradeoff between the performance and hardware cost. Simulation results show the feasibility and effectiveness of the proposed precoding and antenna selection algorithms in practical applications.