This letter investigates the uplink data detection for reconfigurable intelligent surface (RIS)-
assisted massive multiple-input multiple-output (MIMO) systems with low-resolution …

This letter aims to alleviate the impact of pilot contamination stemming from sharing pilots in
cell-free massive multiple-input multiple-output (MIMO) networks with low-resolution analog …

For identifying the parameters in finite impulse response (FIR) systems via the quantized
output, existing expectation maximization (EM) methods are involved with the intractable …

The use of low-resolution analog-to-digital converters (ADCs) and digital-to-analog
converters (DACs) is recognized as a practical technique to reduce power consumption and …

In this study, we propose an improved channel estimator based on vector approximate
message passing (VAMP) for quantized millimeter wave (mmWave) massive multiple-input …

Channel state information (CSI) is important to reap the full benefits of millimeter wave
(mmWave) massive multiple-input multiple-output (MIMO) systems. The traditional channel …

This paper focuses on the problem of utilizing millimeter wave (mmWave) and Terahertz
(THz) massive hybrid arrays to serve multiple users simultaneously. The mmWave and THz …

Massive Multi-Input Multi-Output (MIMO) technology has emerged as a crucial advancement
in wireless communication systems, promising improved reliability, higher transmission …

This work develops a deep unfolding-based variational Bayes (VB) technique called learned-
Vb for joint channel estimation and data decoding using quantized inputs in a massive multi …

Channel state information (CSI) is important to reap the full benefits of millimeter wave
(mmWave) massive multiple-input multiple-output (MIMO) systems. The traditional channel …