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 …

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 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) …

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 …

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 …

Intelligent resource allocations for IRS-assisted OFDM communications: a hybrid MDQN-DDPG approach

W Wu, F Yang, F Zhou, H Hu, Q Wu, RQ Hu - arXiv preprint arXiv …, 2022 - arxiv.org
In this paper, we study the resource allocation problem for an intelligent reflecting surface
(IRS)-assisted OFDM system. The system sum rate maximization framework is formulated by …

Deep reinforcement learning based intelligent reflecting surface optimization for MISO communication systems

K Feng, Q Wang, X Li, CK Wen - IEEE Wireless …, 2020 - ieeexplore.ieee.org
This letter investigates the intelligent reflecting surface (IRS)-aided multiple-input single-
output wireless transmission system. Particularly, the optimization of the passive phase shift …

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 …

Resource allocation for IRS-assisted networks: A deep reinforcement learning approach

S Ahmad, S Khan, KS Khan, F Naeem… - IEEE Communications …, 2023 - ieeexplore.ieee.org
In a wireless communication network, the propagation medium has been perceived as a
randomly behaving entity between the transmitter and receiver for a long time. However …

Hybrid reinforcement learning for STAR-RISs: A coupled phase-shift model based beamformer

R Zhong, Y Liu, X Mu, Y Chen, X Wang… - IEEE Journal on …, 2022 - ieeexplore.ieee.org
A simultaneous transmitting and reflecting reconfigurable intelligent surface (STAR-RIS)
assisted multi-user downlink multiple-input single-output (MISO) communication system is …