An overview of signal processing techniques for RIS/IRS-aided wireless systems

C Pan, G Zhou, K Zhi, S Hong, T Wu… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
In the past as well as present wireless communication systems, the wireless propagation
environment is regarded as an uncontrollable black box that impairs the received signal …

A survey on channel estimation and practical passive beamforming design for intelligent reflecting surface aided wireless communications

B Zheng, C You, W Mei, R Zhang - … Communications Surveys & …, 2022 - ieeexplore.ieee.org
Intelligent reflecting surface (IRS) has emerged as a key enabling technology to realize
smart and reconfigurable radio environment for wireless communications, by digitally …

Survey on 6G frontiers: Trends, applications, requirements, technologies and future research

C De Alwis, A Kalla, QV Pham, P Kumar… - IEEE Open Journal …, 2021 - ieeexplore.ieee.org
Emerging applications such as Internet of Everything, Holographic Telepresence,
collaborative robots, and space and deep-sea tourism are already highlighting the …

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: Principles and opportunities

Y Liu, X Liu, X Mu, T Hou, J Xu… - … surveys & tutorials, 2021 - ieeexplore.ieee.org
Reconfigurable intelligent surfaces (RISs), also known as intelligent reflecting surfaces
(IRSs), or large intelligent surfaces (LISs), 1 have received significant attention for their …

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 …

Lead federated neuromorphic learning for wireless edge artificial intelligence

H Yang, KY Lam, L Xiao, Z Xiong, H Hu… - Nature …, 2022 - nature.com
In order to realize the full potential of wireless edge artificial intelligence (AI), very large and
diverse datasets will often be required for energy-demanding model training on resource …

Intelligent reflecting surface: Practical phase shift model and beamforming optimization

S Abeywickrama, R Zhang, Q Wu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Intelligent reflecting surface (IRS) that enables the control of wireless propagation
environment has recently emerged as a promising cost-effective technology for boosting the …

Single and multi-agent deep reinforcement learning for AI-enabled wireless networks: A tutorial

A Feriani, E Hossain - IEEE Communications Surveys & …, 2021 - ieeexplore.ieee.org
Deep Reinforcement Learning (DRL) has recently witnessed significant advances that have
led to multiple successes in solving sequential decision-making problems in various …

Machine learning empowered trajectory and passive beamforming design in UAV-RIS wireless networks

X Liu, Y Liu, Y Chen - IEEE Journal on Selected Areas in …, 2020 - ieeexplore.ieee.org
A novel framework is proposed for integrating reconfigurable intelligent surfaces (RIS) in
unmanned aerial vehicle (UAV) enabled wireless networks, where an RIS is deployed for …