Deep learning (DL) has proven its unprecedented success in diverse fields such as
computer vision, natural language processing, and speech recognition by its strong …

Modern wireless communication systems rely heavily on multiple antennas and their
corresponding signal processing to achieve optimal performance. As 5G and 6G networks …

Beamforming is considered as one of the most important techniques for designing advanced
multiple-input and multiple-output (MIMO) systems. Among existing design criterions, sum …

Massive multiple-input multiple-output (MIMO) is playing a crucial role in the fifth generation
(5G) and beyond 5G (B5G) communication systems. Unfortunately, the complexity of …

Deep unfolding is a method of growing popularity that fuses iterative optimization algorithms
with tools from neural networks to efficiently solve a range of tasks in machine learning …

The communication industry is rapidly advancing towards 5G and beyond 5G (B5G) wireless
technologies in order to fulfill the ever-growing needs for higher data rates and improved …

The growing network density and unprecedented increase in network traffic, caused by the
massively expanding number of connected devices and online services, require intelligent …

The use of a hybrid analog-digital architecture that connects one RF chain to multiple
antennas through phase shifters is an energy-efficient solution for multiuser multiple-input …

In this paper, we investigate the precoder design for multiple-input multiple-output (MIMO)
dual-functional radar-communication (DFRC) system with one-bit digital-to-analog …

Hybrid precoding plays a key role in realizing massive multiple-input multiple-output (MIMO)
transmitters with controllable cost. MIMO precoders are required to frequently adapt based …