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

In this paper, we investigate low-complexity data detection scheme for massive multiple-
input multiple-output (MIMO) uplink transmission. We propose to utilize the stair matrix …

Minimum mean square error (MMSE) linear detector can achieve the near-optimal bit error
rate (BER) performance for uplink multi-user massive multiple input multiple output (MIMO) …

Massive Multiple Input Multiple Output is most promising technology that has been proposed
in recent years, and it has been considered a technology to fulfill the requirement of fifth …

The fast development of intelligent transport systems requires high-rate communications,
high energy efficiency, and low latency. One promising solution to meet the requirements is …

The use of low-resolution data converters is regarded as a cost-effective solution to reduce
the hardware complexity and power consumption of massive multiuser multiple-input and …

Massive multiple-input multiple-output (Massive MIMO) has been considered as a promising
technology to fulfill the requirement of fifth generation (5G) networks. Massive MIMO is …

Being the enabling technique for 5G wireless communications, massive multiple-input
multiple-output (MIMO) system can drastically increase the capacity efficiency. However, a …

Several approximation approaches including the Gauss–Seidel (GS) method have been
proposed to reduce the complexity of matrix inversion for zero-forcing pre-coding in massive …

At present, weak signal detection algorithm detects parallel weak signals under Gauss noise
interference, which has the problems of low denoising performance, inaccurate detection …