In the uplink transmission of massive (or large‐scale) multi‐input multi‐output (MIMO)
systems, large dimensional signal detection and its hardware design are challenging issues …

To improve energy efficiency and spectral efficiency, massive multiple‐input–multiple‐output
(MIMO) is proposed and becomes a promising technology in the next generation mobile …

在大规模MIMO 系统上行链路信号检测算法中, 最小均方误差(MMSE) 算法能获得接近最优的
线性检测性能. 但是, 传统的MMSE 检测算法涉及高维矩阵求逆运算, 由于复杂度过高而使其在 …

In this paper we present an efficient mode-matching technique to analyze tilted-coil
antennas in anisotropic geophysical formations. In this problem, a number of coil antennas …

The minimum mean square error (MMSE) algorithm can achieve the near-optimal detection
performance in Massive MIMO system. However, it involves complicated matrix inversion. In …

For large-scale multiple-input multiple-output (MIMO) systems, the near-optimal algorithm of
minimum mean square error (MMSE) method is widely used for uplink signal detection, but …

In Massive multiple-input multiple-output (MIMO) systems, zero-forcing (ZF) detection
algorithm has attracted attention again for its low computational complexity. However, when …

For uplink multi-user massive MIMO systems with hundreds of antennas at the base station
(BS), minimum mean square error (MMSE) signal detection method is near-optimal due to …