Joint user scheduling, phase shift control, and beamforming optimization in intelligent reflecting surface-aided systems

R Huang, VWS Wong - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
In this paper, we formulate a joint uplink scheduling, phase shift control, and beamforming
optimization problem in intelligent reflecting surface (IRS)-aided systems. We consider …

Reflection resource management for intelligent reflecting surface aided wireless networks

Y Gao, C Yong, Z Xiong, J Zhao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this paper, the adoption of an intelligent reflecting surface (IRS) for multiple user pairs in
two-hop networks is investigated. Different from the existing studies on IRS that mainly …

Deep reinforcement learning-empowered beamforming design for IRS-assisted MISO interference channels

J Zhang, H Zhang, Z Zhang, H Dai… - 2021 13th …, 2021 - ieeexplore.ieee.org
Intelligent reflecting surface (IRS) is a promising technology to enable programmable
wireless propagation environments, by dynamically adjusting its phase shifters. Unlike most …

Intelligent reflecting surface enhanced wireless networks: Two-timescale beamforming optimization

MM Zhao, Q Wu, MJ Zhao… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Intelligent reflecting surface (IRS) has drawn a lot of attention recently as a promising new
solution to achieve high spectral and energy efficiency for future wireless networks. By …

DRL-Based Beamforming Design in RIS-Aided Multi-user Wireless Networks

K Singh, H Albinsaid, SK Singh, C Pan… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
This paper proposes a deep reinforcement learning (DRL) based passive beamforming
design in a reconfigurable intelligent surface (RIS) aided multi-user wireless network. In …

Energy efficiency and spectral efficiency tradeoff in RIS-aided multiuser MIMO uplink systems

J Xiong, L You, DWK Ng, C Yuen… - … 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
We study the tradeoff between energy efficiency (EE) and spectral efficiency (SE) in
multiuser multiple-input multiple-output (MIMO) uplink communications aided by a …

Online deep learning based energy efficient optimization for IRS-assisted eMBB and URLLC services

W Liu, X He, H Xu, Z Wang, A Zhou - Physical Communication, 2023 - Elsevier
In this paper, we consider a downlink multiple-input single-output (MISO) system for
enhanced mobile broadband (eMBB) and ultra-reliable and low-latency communication …

Manifold optimization based multi-user rate maximization aided by intelligent reflecting surface

L Zhang, Q Wang, H Wang, P Chen, H Chen… - arXiv preprint arXiv …, 2022 - arxiv.org
In this work, two problems associated with a downlink multi-user system are considered with
the aid of intelligent reflecting surface (IRS): weighted sum-rate maximization and weighted …

How Often Channel Estimation is Required for Adaptive IRS Beamforming: A Bilevel Deep Reinforcement Learning Approach

J Zhang, Z Wang, J Li, Q Wu, W Chen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In an intelligent reflecting surface (IRS)-assisted wireless communication system, obtaining
the real-time channel state information (CSI) through channel estimation (CE) is crucial for …

Low-complexity adaptive selection beamforming for IRS-assisted single-user wireless networks

M Munawar, K Lee - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
To maximize the signal strength in an intelligent reflecting surface (IRS)-assisted wireless
network, semidefinite relaxation (SDR) and alternating optimization (AO) methods are widely …