摘要
在下行多用户MIMO通信系统中,用户间很难相互利用彼此间信息,用户间干扰消除必须在基站完成。又由于多用户MIMO系统的复杂结构,使得其链路成本极大增加。针对这些问题,提出一种低复杂度的预编码算法和相应的优化预处理算法,达到消除多用户干扰的目的,与传统线性预编码算法相比,所提算法可充分利用多用户系统容量,为用户提供较好的空间发射分集增益。同时,为了降低系统硬件成本,进一步给出一种基于误码率的发送端、接收端联合天线选择算法。所提天线选择算法可以取得与优化预处理算法相近的误码率性能,使得多用户通信系统性能与硬件成本间达到很好的折衷。仿真结果表明所提算法可以获得较好的性能,适用于实际的通信系统。
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, a low complexity precoding scheme for MU-MIMO system was proposed. Compared with the traditional precoding algorithm, the proposed algorithm has lower computational cost, and can get good performance. For providing more transmitting diversity gain, a preprocessing algorithm was proposed to optimizing the system performance. And for reducing the hardware cost, a joint antenna selection algorithm was given out 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.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2010年第6期1466-1471,共6页
Journal of System Simulation