Multi-user massive MIMO is a promising candidate for future wireless communication systems. It enables users with different requirements to be connected to the same base station (BS) on the same set of resources. In uplink massive MU-MIMO, while users with different requirements are served, decoupled signal detection helps in using a user-specific detection scheme for every user. In this paper, we propose a low-complexity linear decoupling scheme called Sequential Decoupler (SD), which aids in the parallel detection of each user's data streams. The proposed algorithm shows significant complexity reduction, particularly when the number of users in the system increases. In the numerical simulations, it has been observed that the complexity of the proposed scheme is only 0.15% of the conventional Singular Value Decomposition (SVD) based decoupling and 47% to the pseudo-inverse based decoupling schemes when 80 users with two antennas each are served by the BS.

翻译：多用户大规模MIMO是未来无线通信系统的重要候选技术。该技术使具有不同需求的用户能够基于同一套资源接入同一基站（BS）。在上行大规模MU-MIMO系统中，当服务于具有不同需求的用户时，解耦信号检测有助于对每个用户采用针对性的检测方案。本文提出一种名为顺序解耦器（SD）的低复杂度线性解耦方案，该方案支持并行检测每个用户的数据流。所提算法展现出显著的复杂度降低优势，特别是在系统用户数量增加时。数值仿真结果表明，当基站服务80个各配备两根天线的用户时，所提方案的复杂度仅为传统基于奇异值分解（SVD）解耦方案的0.15%，为基于伪逆解耦方案的47%。