Intelligent reflecting surface enhanced wireless network: Joint active and passive beamforming design

Q Wu, R Zhang - 2018 IEEE global communications …, 2018 - ieeexplore.ieee.org
Intelligent reflecting surface (IRS) is envisioned to have abundant applications in future
wireless networks by smartly reconfiguring the signal propagation for performance …

Fundamentals of wireless information and power transfer: From RF energy harvester models to signal and system designs

B Clerckx, R Zhang, R Schober… - IEEE Journal on …, 2018 - ieeexplore.ieee.org
Radio waves carry both energy and information simultaneously. Nevertheless, radio-
frequency (RF) transmissions of these quantities have traditionally been treated separately …

Foundations of wireless information and power transfer: Theory, prototypes, and experiments

B Clerckx, J Kim, KW Choi, DI Kim - Proceedings of the IEEE, 2022 - ieeexplore.ieee.org
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) …

Wireless power transfer for future networks: Signal processing, machine learning, computing, and sensing

B Clerckx, K Huang, LR Varshney… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Wireless power transfer (WPT) is an emerging paradigm that will enable using wireless to its
full potential in future networks, not only to convey information but also to deliver energy …

Unsupervised deep learning for massive MIMO hybrid beamforming

H Hojatian, J Nadal, JF Frigon… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Hybrid beamforming is a promising technique to reduce the complexity and cost of massive
multiple-input multiple-output (MIMO) systems while providing high data rate. However, the …

Deep-learning-based channel estimation for wireless energy transfer

JM Kang, CJ Chun, IM Kim - IEEE Communications Letters, 2018 - ieeexplore.ieee.org
We propose a deep-learning-based channel estimation technique for wireless energy
transfer. Specifically, we develop a channel learning scheme using the deep autoencoder …

Secure satellite-terrestrial transmission over incumbent terrestrial networks via cooperative beamforming

J Du, C Jiang, H Zhang, X Wang, Y Ren… - IEEE Journal on …, 2018 - ieeexplore.ieee.org
In this paper, we consider a scenario where the satellite-terrestrial network is overlaid over
the legacy cellular network. The established communication system is operated in the …

Signal and system design for wireless power transfer: Prototype, experiment and validation

J Kim, B Clerckx, PD Mitcheson - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
A new line of research on communications and signals design for Wireless Power Transfer
(WPT) has recently emerged in the communication literature. Promising signal strategies to …

Deep learning based channel estimation for MIMO systems with received SNR feedback

JM Kang, CJ Chun, IM Kim - IEEE Access, 2020 - ieeexplore.ieee.org
Channel estimation with received signal-to-noise ratio (SNR) feedback is promising and
effective for practical wireless multiple-input multiple-output (MIMO) systems. In this paper …

Secure localization algorithms against localization attacks in wireless sensor networks

TN Nguyen, VV Le, SI Chu, BH Liu, YC Hsu - Wireless Personal …, 2022 - Springer
The accuracy of the location estimation of sensors in wireless sensor networks (WSNs) is
important to many applications such as environment surveillance applications. In large-scale …