The global bandwidth shortage in the wireless communication sector has motivated the
study and exploration of wireless access technology known as massive Multiple-Input …

The quantum leap in mobile data traffic and high density of wireless electronic devices,
coupled with the advancements in industrial radio monitoring and autonomous systems …

To overcome the influence of channel estimation error on signal detection, this paper
presents a model-driven deep learning method for joint channel estimation and signal …

Estimation in few-bit MIMO systems is challenging, since the received signals are
nonlinearly distorted by the low-resolution ADCs. In this paper, we propose a deep learning …

This letter presents a data detection method for multiple-input multiple-output systems with
one-bit analog-to-digital converters. The basic idea is to learn the likelihood function of the …

Wireless systems continue to go toward higher carrier frequencies, including terahertz
bands, to take advantage of higher bandwidth channels. At the same time, antenna arrays …

The massive MIMO approach presents an exciting prospect for the upcoming generation of
wireless transmission systems. However, the adoption of actual massive MIMO scenarios is …

This paper investigates the communication reliability for single-input-multiple-output
wireless systems with low-resolution phase quantizers. First, the maximum-likelihood …

This paper proposes data detection methods for massive multiple-input multiple-output
(MIMO) systems with low-resolution analog-to-digital converters (ADCs) based on the …

This paper studies optimum detectors and error rate analysis for wireless systems with low-
resolution quantizers in the presence of fading and noise. A universal lower bound on the …