Intelligent reflecting surface (IRS) is a promising technology for achieving spectrum and
energy-efficient wireless networks cost-effectively. Most existing works on IRS have focused …

Abstract Transformers are Deep Neural Networks (DNN) that utilize a self-attention
mechanism to capture contextual relationships within sequential data. Unlike traditional …

As wireless has disrupted communications, wireless will also disrupt the delivery of energy.
Future wireless networks will be equipped with (radiative) wireless power transfer (WPT) …

Full-duplex (FD) communication is a potential game changer for future wireless networks. It
allows for simultaneous transmit and receive operations over the same frequency band, a …

Over the last decade, simultaneous wireless information and power transfer (SWIPT) has
become a practical and promising solution for connecting and recharging battery-limited …

With the emergence of the Internet of Things (IoT), billions of wireless devices, including
sensors and wearable devices, are evolving under the IoT technology. The limited battery …

Next-generation wireless communication networks will benefit from beamforming gain to
utilize higher bandwidths at millimeter wave (mmWave) and terahertz (THz) bands. For high …

As data generation increasingly takes place on devices without a wired connection, Machine
Learning (ML) related traffic will be ubiquitous in wireless networks. Many studies have …

This paper proposes a novel transmission policy for a wireless powered sensor network
(WPSN) assisted by an intelligent reflecting surface (IRS) to enhance the performance of …

In this paper, we study the waveform and passive beamforming design for intelligent
reflecting surface (IRS)-aided wireless power transfer (WPT). Generalized multi-user and …