In this paper, we consider a wireless communication system, where a full-duplex hybrid
access point (HAP) transmits to a set of cellular users (CUs) in the downlink channel, while …

In this article, we propose an online training framework for deep neural network (DNN)-
based mmWave massive multiple-input multiple-output (MIMO) channel estimation (CE) in …

In ambient backscatter communications, backscatter devices (BDs) utilize ambient “legacy”
radio signals as both a harvested energy source and a carrier on which to modulate data …

We study a multi-source wireless power transfer (WPT) enabled network supporting multi-
sensor transmissions. Activated by the energy harvesting from multiple WPT sources, the …

This paper studies cell-free massive multiple-input multiple-output (CF-mMIMO) systems
incorporating simultane-ous wireless information and power transfer (SWIPT) for separate …

In this article, we propose an uplink cell-free Industrial Internet of Things (IIoT) framework to
support a large number of devices with random data arrivals. By adopting nonorthogonal …

With the proliferation of Internet of things (IoT) applications, the massive machine-type
connections (MTCs) bring great challenges to traditional cellular networks, wherein cell …

The development of Internet of Things (IoT) systems has given rise to security concerns
stemming from the exposure of wireless channels and the exponential growth of connected …

We study a multi-source wireless power transfer (WPT) enabled network supporting multi-
sensor transmissions. Activated by energy harvesting (EH) from multiple WPT sources …

This paper investigates a deep learning-based algorithm to optimize the unmanned aerial
vehicle (UAV) trajectory and reconfigurable intelligent surface (RIS) reflection coefficients in …