A deep reinforcement learning approach to IRS-assisted MU-MIMO communication systems

D Pereira-Ruisánchez, Ó Fresnedo, D Pérez-Adán… - Authorea …, 2023 - techrxiv.org
The deep reinforcement learning (DRL)-based deep deterministic policy gradient (DDPG)
framework is proposed to solve the joint optimization of the IRS phase-shift matrix and the …

Deep Reinforcement Learning-Based RIS-Aided Wireless Communication Systems

파이살, 케이엠 - 2023 - oak.chosun.ac.kr
KM Faisal Advisor: Prof. Choi, Wooyeol, Ph. D. Department of Computer Engineering
Graduate School of Chosun University Reconfigurable Intelligent Surface (RIS) can offer a …

Deep reinforcement learning based joint active and passive beamforming design for RIS-assisted MISO systems

Y Zhu, Z Bo, M Li, Y Liu, Q Liu… - 2022 IEEE Wireless …, 2022 - ieeexplore.ieee.org
Owing to the unique advantages of low cost and controllability, reconfigurable intelligent
surface (RIS) is a promising candidate to address the blockage issue in millimeter wave …

Reconfigurable intelligent surface assisted edge machine learning

S Huang, S Wang, R Wang, M Wen… - ICC 2021-IEEE …, 2021 - ieeexplore.ieee.org
The ever-growing popularity and rapid improving of artificial intelligence (AI) have raised
rethinking on the evolution of wireless networks. Mobile edge computing (MEC) provides a …

Learning beamforming for RIS-aided systems with permutation equivariant graph neural networks

B Zhao, C Yang - 2023 IEEE 97th Vehicular Technology …, 2023 - ieeexplore.ieee.org
Reconfigurable intelligent surface (RIS) is capable of controlling environment smartly for
improving the performance of wireless communications. To reduce the pilot overhead of …

Differential data-aided beam training for RIS-empowered multi-antenna communications

K Chen-Hu, GC Alexandropoulos… - IEEE Access, 2022 - ieeexplore.ieee.org
The Reconfigurable Intelligent Surface (RIS) constitutes one of the prominent technologies
for the next generation of wireless communications. It is envisioned to enhance the signal …

Statistical CSI-based Beamforming for RIS-Aided Multiuser MISO Systems using Deep Reinforcement Learning

M Eskandari, H Zhu, A Shojaeifard, J Wang - arXiv preprint arXiv …, 2022 - arxiv.org
The paper presents a joint beamforming algorithm using statistical channel state information
(S-CSI) for reconfigurable intelligent surfaces (RIS) for multiuser MISO wireless …

On the robustness of deep reinforcement learning in IRS-aided wireless communications systems

A Feriani, A Mezghani, E Hossain - arXiv preprint arXiv:2107.08293, 2021 - arxiv.org
We consider an Intelligent Reflecting Surface (IRS)-aided multiple-input single-output
(MISO) system for downlink transmission. We compare the performance of Deep …

Joint deployment design and phase shift of IRS-assisted 6G networks: An experience-driven approach

F Naeem, M Qaraqe, H Celebi - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
The performance of wireless networks is constrained by the dynamic and random nature of
the wireless channels. Intelligent reflecting surface (IRS) is a promising approach that can …

Deep Learning for Optimal Phase-Shift and Beamforming Based on Individual and Cascaded Channels Estimation in the RIS-MIMO System

N Noordin, MA Rasid, A Ismail, A Flah - Authorea Preprints, 2024 - authorea.com
Abstract Reconfigurable Intelligent Surfaces (RIS) represent an advanced technology
reshaping wireless communication networks. Through intelligent configuration of wireless …