Multi-IRS-assisted multi-cell uplink MIMO communications under imperfect CSI: A deep reinforcement learning approach

J Kim, S Hosseinalipour, T Kim… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
Applications of intelligent reflecting surfaces (IRSs) in wireless networks have attracted
significant attention recently. Most of the relevant literature is focused on the single cell …

Deep reinforcement learning based spectral efficiency maximization in STAR-RIS-assisted indoor outdoor communication

PS Aung, LX Nguyen, YK Tun, Z Han… - NOMS 2023-2023 …, 2023 - ieeexplore.ieee.org
The significant growth in data consumption among mobile users necessitates the
development of new architecture to meet the increasing demand. On the other hand …

Deep reinforcement learning based joint downlink beamforming and RIS configuration in RIS-aided MU-MISO systems under hardware impairments and imperfect …

B Saglam, D Gurgunoglu… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
We introduce a novel deep reinforcement learning (DRL) approach to jointly optimize
transmit beamforming and reconfigurable intelligent surface (RIS) phase shifts in a multiuser …

Deep reinforcement learning based power minimization for RIS-assisted MISO-OFDM systems

P Chen, W Huang, X Li, S Jin - China Communications, 2023 - ieeexplore.ieee.org
In this paper, we investigate the downlink orthogonal frequency division multiplexing
(OFDM) transmission system assisted by reconfigurable intelligent surfaces (RISs) …

Beamforming optimization for IRS-assisted mmWave V2I communication systems via reinforcement learning

Y Lee, JH Lee, YC Ko - IEEE Access, 2022 - ieeexplore.ieee.org
Intelligent reflecting surface (IRS), which can provide a propagation path where non-line-of-
sight (NLOS) link exists, is a promising technology to enable beyond fifth-generation (B5G) …

Proximal policy optimization-based transmit beamforming and phase-shift design in an IRS-aided ISAC system for the THz band

X Liu, H Zhang, K Long, M Zhou, Y Li… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
In this paper, an IRS-aided integrated sensing and communications (ISAC) system operating
in the terahertz (THz) band is proposed to maximize the system capacity. Transmit …

DRL-based joint optimization for 3D-oriented multi-IRS communication systems

MF Khan, L Peng, PH Ho - Computers and Electrical Engineering, 2024 - Elsevier
This paper investigates the achievable rates of multiple intelligent reflecting surface (IRS)-
assisted multi-hop communications by exploring the impact of three-dimensional (3D) IRS …

Deep reinforcement learning for robust beamforming in IRS-assisted wireless communications

J Lin, Y Zout, X Dong, S Gong… - … 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
Intelligent reflecting surface (IRS) is a promising technology to assist downlink information
transmissions from a multi-antenna access point (AP) to a receiver. In this paper, we …

Sum-path-gain maximization for IRS-aided MIMO communication system via riemannian gradient descent network

G Zhu, J Hu, K Zhong, X Cheng… - IEEE Signal Processing …, 2023 - ieeexplore.ieee.org
Intelligent reflecting surface (IRS) is a key technique for enhancing the performance of
wireless communications. In this letter, we focus on the sum-path-gain maximization (SPGM) …

Learning-Based Intelligent Reflecting Surface-Aided Cell-Free Massive MIMO Systems

Q Wang, Q Chen, Y Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Intelligent reflecting surface (IRS) is amenable to assisting cell-free wireless networks
because of its low cost and high spectrum efficiency. However, solving the IRS optimization …