RZF预编码与MMSE-SIC检测联合的大规模MIMO系统预编码设计算法

研究了大规模多输入多输出(MIMO)系统的预编码设计算法。针对大规模MIMO系统通常利用增加用户天线数来提高系统频谱效率的方法会导致用户间干扰增大,从而对系统性能产生负面影响的问题,提出了一种将正则化迫零(RZF)预编码与最小均方误差-串行干扰消除(MMSE-SIC)检测相结合的改进算法。该算法通过在基站端采用RZF预编码对信号进行预处理以平衡用户间干扰和噪声干扰的影响,继而在接收端运用检测性能优异的MMSE-SIC算法来进一步减轻信号中的干扰,从而达到提升系统容量的目的。实验结果表明,这种将RZF预编码与MMSE-SIC检测相结合的改进算法,在用户间干扰较大时具有较好的适用性,且在完全已知和未完全已知信道状态信息情况下的频谱效率均优于传统RZF算法。

An algorithm for precoding design for massive MIMO systems based on combining RZF precoding with MMSE-SIC detection

The precoding design of massive multiple imput multiple output (MIMO) systems was studied.Considering that massive MIMO systems use the increasement of the number of user antennas to improve the spectrum efficiency, but this brings more inter-user interference so causing the negative influence on the system performance, an improved precoding design algorithm using the combination of regularized zero-forcing (RZF) and minimum mean squared error-successive interference cancellation (MMSE-SIC) detection was proposed.The algorithm performs the signal pre-processing to balance the effect between inter-user interference and noise interference by using the RZF precoding algorithm in the base station, and then uses the MMSE-SIC detection algorithm to further reduce the signal interference, thus the system capacity is increased.The experimental results show that under the condition of the serious inter-user interference, the algorithm using the combination of RZF precoding and MMSE-SIC detection has the good applicability and its spectrum efficiency is better than the traditional RZF algorithm in the condition that the channel state information is conpletely known or completely unknown.