Recently, 5G installation has been started globally. Different capabilities are in the
consistent procedure, like ultrareliability, mass connectivity, and specific low latency …

Massive multiple-input multiple-output (M-MIMO) is a substantial pillar in fifth generation
(5G) mobile communication systems. Although the maximum likelihood (ML) detector attains …

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 …

Massive multiple-input multiple-output (MIMO) systems are critical technologies for the next
generation of networks. In this field of research, new forms of deployment are emerging …

The initial solution of a massive multiple-input multiple-output (M-MIMO) detector for uplink
(UL) is greatly influence the balance between the bit error rate (BER) performance and the …

Signal detection is a major challenge in massive multiple‐input multiple‐output (MIMO)
wireless systems due to array of hundreds of antennas. Linear minimum mean square error …

Linear zero forcing (ZF) precoding can obtain near-optimal performance as the number of
base station (BS) antennas increases, but involve complex matrix inversion calculations …

Linear minimum mean square error (MMSE) detection has been shown to achieve near-
optimal performance for massive multiple-input multiple-output (MIMO) systems but …

摘要(中) 隨著行動流量呈等比級數增長, 巨量多輸入多輸出(Massive Multi-Input-Multi-Output)
系統被視為下一代無線通訊系統中一項關鍵的技術, 相較於傳統MIMO 系統在頻譜效率, 可靠性 …

在大规模MIMO 系统中, 现有的高斯‑赛德尔(Gauss‑Seide, GS) 算法相较于最小均方误差(
Minimum mean‑square error, MMSE) 算法, GS 的复杂度较低, 但其检测性能相比而言较差 …