Deep contextual bandit and reinforcement learning for IRS-assisted MU-MIMO systems

D Pereira-Ruisánchez, Ó Fresnedo… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The combination of multiple-input multiple-output (MIMO) systems and intelligent reflecting
surfaces (IRSs) is foreseen as a critical enabler of beyond 5G (B5G) and 6G. In this work …

Joint optimization of IRS-assisted MU-MIMO communication systems through a DRL-based twin delayed DDPG approach

D Pereira-Ruisánchez, Ó Fresnedo… - 2022 IEEE …, 2022 - ieeexplore.ieee.org
Intelligent reflecting surface (IRS)-assisted multiple-input multiple-output (MIMO) systems
are foreseen as key enablers of beyond 5G (B5G) and 6G wireless communications. By …

Deep contextual bandits for orchestrating multi-user MISO systems with multiple RISs

K Stylianopoulos, G Alexandropoulos… - ICC 2022-IEEE …, 2022 - ieeexplore.ieee.org
The emergent technology of Reconfigurable Intelligent Surfaces (RISs) has the potential to
transform wireless environments into controllable systems, through programmable …

Deep reinforcement learning based intelligent reflecting surface optimization for tdd multi-user mimo systems

F Zhao, W Chen, Z Liu, J Li, Q Wu - IEEE Wireless …, 2023 - ieeexplore.ieee.org
In this letter, we investigate the discrete phase shift design of the intelligent reflecting surface
(IRS) in a time-division duplexing (TDD) multi-user multiple-input-multiple-output (MIMO) …

Piecewise-drl: Joint beamforming optimization for ris-assisted mu-miso communication system

J Li, W Wang, R Jiang, X Wang, Z Fei… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
With the widespread connectivity of everyday devices realized by the advent of the Internet
of Things (IoT), communication between users of different devices has become increasingly …

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 …

Multi-agent deep reinforcement learning (MADRL) meets multi-user MIMO systems

H Lee, J Jeong - 2021 IEEE Global Communications …, 2021 - ieeexplore.ieee.org
A multi-agent deep reinforcement learning (MADRL) is a promising approach to challenging
problems in wireless environments involving multiple decision-makers (or actors) with high …

Deep reinforcement learning for RIS-aided multiuser MISO system with hardware impairments

W Ma, L Zhuo, L Li, Y Liu, H Ren - Applied Sciences, 2022 - mdpi.com
In this paper, we study a reconfigurable intelligent surface (RIS)-aided multiuser MISO
system with imperfect hardware, where the transceiver design is based on the statistical …

Machine learning for IRS-assisted MU-MIMO communications with estimated channels

Z He, F Héliot, Y Ma - 2022 IEEE 95th Vehicular Technology …, 2022 - ieeexplore.ieee.org
The reflective elements on an intelligent reconfigurable surface (IRS) can be tuned to
improve the propagation environment and, in turn, the system performance, provided …

DDPG learning for aerial RIS-assisted MU-MISO communications

AS Abdalla, V Marojevic - 2022 IEEE 33rd Annual International …, 2022 - ieeexplore.ieee.org
This paper defines the problem of optimizing the downlink multi-user multiple input, single
output (MU-MISO) sum-rate for ground users served by an aerial reconfigurable intelligent …