Massive multiple‐input multiple‐output (MIMO) systems can improve the spectrum utilization
and the system capacity, but this also increases the computational complexity of the signal …

In this letter, an efficient massive multiple-input multiple-output (MIMO) detector is proposed
by employing a deep neural network (DNN). Specifically, we first unfold an existing iterative …

Massive multiple-input multiple-output (MIMO) can provide higher spectral efficiency and
energy efficiency compared to conventional MIMO systems. Unfortunately, as the numbers of …

The massive multiple‐input multiple‐output (MIMO) technology is one of the core
technologies of 5G, which can significantly improve spectral efficiency. Because of the large …

In this work, we consider the use of model-driven deep learning techniques for massive
multiple-input multiple-output (MIMO) detection. Compared with conventional MIMO …

In massive multiple‐input multiple‐output (MIMO) systems, most of the existing detection
work mainly assumes that the channel is the additive white Gaussian noise (AWGN) …

Aiming at the problems of poor signal detection effect caused by many interference factors in
large‐scale MIMO technology scene, this paper proposes a 5G massive MIMO signal …

Massive multiple-input multiple-output (MIMO) is a crucial technology in fifth-generation (5G)
and beyond 5G (B5G). However, the huge number of antennas used in massive MIMO …

Low-complexity detectors play an essential role in massive multiple-input multiple-output
(MIMO) transmissions. In this work, we discuss the perspectives of utilizing approximate …

In this paper, the projected-gradient-descent (PGD)-based detector for massive MIMO
system, which consists of two basic operations—projection and gradient descent (GD), is …