摘要： 针对大规模多输入多输出系统天线数量过多使得预编码算法计算量增加的问题,提出一种基于协作的天线选择与预编码联合算法。该算法通过降低小区间和用户间干扰,避免传统预编码算法对信道矩阵求逆运算时因天线数量增加使得复杂度提高。理论分析和仿真结果表明,与迫零预编码算法、最小均方误差预编码算法和基于信漏噪比最大化的预编码算法相比,天线选择和预编码联合算法不仅能更好地提高系统的信道容量,而且能够降低预编码算法复杂度。

关键词: 多输入多输出, 协作多点传输, 天线选择算法, 预编码算法, 信道容量, 算法复杂度

Abstract: Aiming at the problem that too many antennas of large-scale Multiple Input Multiple Output(MIMO) system increases the amount of calculation of precoding algorithm,this paper adopts the method combining antenna selection algorithm with traditional precoding algorithm in Coordinated Multiple Points(CoMP) transmissionsystem,through reducing the interference between zones and interference between users,it can avoid the higher complexity brought by traditional precoding algorithm to channel matrix inversion with the increase of antenna numbers.Theoretical analysis and simulation results show that compared with Zero Forcing (ZF) precoding algorithm,Minimum Mean Square Error(MMSE) precoding algorithm and precoding algorithm based on maximization of signal to leakage plus noise ratio,antenna selection and joint precoding algorithm can better improve the channel capacity of the system and reduce the complexity of precoding algorithm.

Key words: Multiple Input Multiple Output(MIMO), Coordinated Multiple Points(CoMP) transmission, antenna selection algorithm, precoding algorithm, channel capacity, algorithm complexity

中图分类号: 

• TP391