Massive multiple-input multiple-output (MIMO) is a key technology to meet the user demands
in performance and quality of services (QoS) for next generation communication systems …

The emerging massive/large-scale multiple-input multiple-output (LS-MIMO) systems that
rely on very large antenna arrays have become a hot topic of wireless communications …

In this paper, we investigate the model-driven deep learning (DL) for MIMO detection. In
particular, the MIMO detector is specially designed by unfolding an iterative algorithm and …

In this paper, we propose a model-driven deep learning network for multiple-input multiple-
output (MIMO) detection. The structure of the network is specially designed by unfolding the …

The emerging orthogonal time frequency space (OTFS) modulation technique has shown its
superiority to the current orthogonal frequency division multiplexing (OFDM) scheme, in …

Approximate message passing (AMP) is a low-cost iterative signal recovery algorithm for
linear system models. When the system transform matrix has independent identically …

This paper considers a multiple-input multiple-output (MIMO) receiver with very low-
precision analog-to-digital convertors (ADCs) with the goal of developing massive MIMO …

In this paper, we investigate secure and reliable transmission strategies for multi-cell multi-
user massive multiple-input multiple-output systems with a multi-antenna active …

With the rapid increase in the development of a cellular communication system, remote
health monitoring and smart health care are improving and getting through a swift …

Optimal data detection in multiple-input multiple-output (MIMO) communication systems with
a large number of antennas at both ends of the wireless link entails prohibitive …