Intelligent reflecting surface-aided wireless communications: A tutorial

Q Wu, S Zhang, B Zheng, C You… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Intelligent reflecting surface (IRS) is an enabling technology to engineer the radio signal
propagation in wireless networks. By smartly tuning the signal reflection via a large number …

Reconfigurable intelligent surfaces for wireless communications: Principles, challenges, and opportunities

MA ElMossallamy, H Zhang, L Song… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Recently there has been a flurry of research on the use of reconfigurable intelligent surfaces
(RIS) in wireless networks to create smart radio environments. In a smart radio environment …

Smart radio environments empowered by reconfigurable intelligent surfaces: How it works, state of research, and the road ahead

M Di Renzo, A Zappone, M Debbah… - IEEE journal on …, 2020 - ieeexplore.ieee.org
Reconfigurable intelligent surfaces (RISs) are an emerging transmission technology for
application to wireless communications. RISs can be realized in different ways, which …

Weighted sum-rate maximization for reconfigurable intelligent surface aided wireless networks

H Guo, YC Liang, J Chen… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Reconfigurable intelligent surfaces (RIS) is a promising solution to build a programmable
wireless environment via steering the incident signal in fully customizable ways with …

Wireless communications through reconfigurable intelligent surfaces

E Basar, M Di Renzo, J De Rosny, M Debbah… - IEEE …, 2019 - ieeexplore.ieee.org
The future of mobile communications looks exciting with the potential new use cases and
challenging requirements of future 6th generation (6G) and beyond wireless networks. Since …

[HTML][HTML] Federated learning for 6G: Applications, challenges, and opportunities

Z Yang, M Chen, KK Wong, HV Poor, S Cui - Engineering, 2022 - Elsevier
Standard machine-learning approaches involve the centralization of training data in a data
center, where centralized machine-learning algorithms can be applied for data analysis and …

A speculative study on 6G

F Tariq, MRA Khandaker, KK Wong… - IEEE Wireless …, 2020 - ieeexplore.ieee.org
While 5G is being tested worldwide and anticipated to be rolled out gradually in 2019,
researchers around the world are beginning to turn their attention to what 6G might be in …

Reconfigurable intelligent surfaces for energy efficiency in wireless communication

C Huang, A Zappone… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
The adoption of a reconfigurable intelligent surface (RIS) for downlink multi-user
communication from a multi-antenna base station is investigated in this paper. We develop …

Enabling large intelligent surfaces with compressive sensing and deep learning

A Taha, M Alrabeiah, A Alkhateeb - IEEE access, 2021 - ieeexplore.ieee.org
Employing large intelligent surfaces (LISs) is a promising solution for improving the
coverage and rate of future wireless systems. These surfaces comprise massive numbers of …

Massive MIMO is a reality—What is next?: Five promising research directions for antenna arrays

E Björnson, L Sanguinetti, H Wymeersch… - Digital Signal …, 2019 - Elsevier
Massive MIMO (multiple-input multiple-output) is no longer a “wild” or “promising” concept
for future cellular networks—in 2018 it became a reality. Base stations (BSs) with 64 fully …