Massive multiple-input multiple-output (M-MIMO) is a significant pillar in fifth generation (5G)
networks where a large number of antennas is deployed. It provides massive advantages to …

Massive multiple-input-multiple-output (M-MIMO) features a capability for spatial
multiplexing of large number of users. This number becomes even more extreme in extra …

Practical data detectors must achieve low error-rate at low-complexity for massive multiple-
input multiple-output (MIMO) wireless systems. Since near-optimal minimum mean square …

For massive multiple-input multiple-output (m-MIMO) uplink, the performances of the linear
minimum mean-square error (MMSE) detector are considered near optimal, and they occupy …

在多用户大规模多输入多输出(MIMO) 系统信号检测算法中, 最小均方误差(MMSE)
算法可取得近似最优性能, 但MMSE 算法中高维矩阵求逆的复杂度过高, 导致在实际应用中难以 …

As the number of base station (BS) antennas in massive multiple-input multiple-output
(MIMO) systems is dramatically increased, linear detection methods are able to achieve the …

In this paper, a low‐complexity detection method for uplink Multi‐User Multiple‐Input
Multiple‐Output (MU‐MIMO) of multi‐beam satellite communication systems is studied …

Approximate matrix inversion based methods is widely used for linear massive multiple-
input multiple-output (MIMO) received symbol vector detection. Such detectors typically …

This dissertation addresses two problems of interest to enable future wireless networks of
fifth and sixth generation (5G and 6G, respectively): the design of efficient receivers and …

Abstract Minimum Mean Square Error (MMSE) algorithm can achieve near-optimal detection
performance for multi-user massive Multiple Input Multiple Output (MIMO) systems. However …