Research

Quantum computing (QC)-assisted algorithms promise exponential increase in the computational efficiency, enabling instant solution of …

The joint radar‐comm unication (JRC) system is env isioned as an emerging sixth gener- ation (6G) technolog y to tack le spectral …

The paper jointly optimizes digital-to-analog converter bit resolutions and hybrid beamforming matrices to achieve energy-efficient millimeter wave MIMO systems, introducing a novel decomposition of the hybrid precoder and combiner.

This research introduces a novel hybrid massive MIMO precoding architecture using random-resolution DACs and RF selection to maximize energy-efficiency while preserving spectral-efficiency.

Energy-efficiency (EE) is identified as a key 5G metric and will have a major impact on the hybrid beam- forming system design. The most …

In this article, we aim to design highly energy efficient end-to-end communication for millimeter wave multiple- input multiple-output …

This study develops a fast adaptive method for completing correlation matrices in industrial IoT networks, preserving privacy by adding noise that maximizes uncertainty while maintaining structural information.

Researchers develop an algorithm to optimize radio-frequency chain selection for efficient wireless transmission while minimizing hardware imperfections.

This research develops a novel joint localization and channel estimation framework for UAV-assisted mmWave communications, enabling accurate positioning and MIMO channel coefficient estimation through beam-space representation and matrix completion.

A novel energy-efficient beamformer maximizes millimeter wave hybrid MIMO system performance by optimizing DAC resolution and RF chain selection using Dinkelbach method and subset selection optimization.