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 …

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 …

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 …

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 …

A Novel Deep Reinforcement Learning-based Approach for Enhancing Spectral Efficiency of IRS-assisted Wireless Systems

F Zohari, SM Shahabi, M Ardebilipour - arXiv preprint arXiv:2302.14706, 2023 - arxiv.org
This letter investigates an intelligent reflecting surfaces (IRS)-enhanced network from
spectral efficiency enhancement point of view for downlink multi-user (MU) multi-input-single …

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 …

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 …

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 …