This paper considers a low-complexity Gaussian message passing iterative detection
(GMPID) algorithm for a massive multiuser multiple-input multiple-output (MU-MIMO) system …

A novel low-complexity iterative sequential detection algorithm is proposed for near-optimal
detection in uplink massive multiple-input multiple-output systems. In every iteration of the …

With the increase of the number of base station (BS) antennas in massive multiple-input
multiple-output (MIMO) systems, linear precoding schemes are able to achieve the near …

In massive multiple-input multiple-output (MIMO) downlink systems, the computational
complexity of the matrix inversion for precoding is becoming a bottleneck for the system …

Due to large numbers of antennas and users, matrix inversion is complicated in linear
precoding techniques for massive MIMO systems. Several approximated matrix inversion …

For Massive MIMO system with hundreds of antennas at the base station and serve a lot of
users, regularized zero forcing (RZF) precoding can achieve the high performance, but …

针对最小均方误差信号检测算法复杂度随着天线数量增加呈指数增长的问题,
提出低复杂度的预处理共轭梯度信号检测算法. 该算法通过灵活调整松弛因子 …

大规模MIMO 技术通过增加天线数目, 降低发送功率来提高能量效率, 是下一代移动通信5G
的一项关键技术. 在大规模MIMO 系统上行链路中如果采用最小均方误差(MMSE) …

大规模多输入多输出(MIMO) 技术通过增加天线的数目可以有效降低发送功率, 提高能量效率,
被认为是5G 移动通信的一项关键技术. 随着天线数目的大幅增加, 信号检测的复杂度随之增加 …

大规模多输入多输出系统中, 最小均方误差信号检测算法是近似最优的, 但由于其涉及矩阵求逆,
计算复杂度随着天线数量增加呈指数增长. 提出了低复杂度的预处理共轭梯度信号检测算法 …