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 …

Improved Artificial Rabbits Algorithm for Positioning Optimization and Energy Control in RIS Multiuser Wireless Communication Systems

AS Alwakeel, MI Ismail, MM Fouda… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
An innovative method to raise wireless communication systems' efficiency is to use
Reconfigurable Intelligent Surface (RIS). Unfortunately, determining the quantity and …

Deep learning empowered trajectory and passive beamforming design in UAV-RIS enabled secure cognitive non-terrestrial networks

Y Liu, C Huang, G Chen, R Song… - IEEE Wireless …, 2023 - ieeexplore.ieee.org
This letter proposes learning-based joint optimization of unmanned aerial vehicle (UAV)
trajectory and reconfigurable intelligent surface (RIS) reflection coefficients in UAV-RIS …

Hybrid relay and reconfigurable intelligent surface assisted multiuser MISO systems

TY Kan, RY Chang, FT Chien… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Reconfigurable intelligent surfaces (RISs) are viewed as key enablers for next-generation
wireless communications. This paper investigates a multiuser downlink multiple-input single …

Intelligent omni surface-assisted self-interference cancellation for full-duplex MISO system

S Fang, G Chen, P Xiao, KK Wong… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The full-duplex (FD) communication can achieve higher spectrum efficiency than
conventional half-duplex (HD) communication; however, self-interference (SI) is the key …

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 …

Deep reinforcement learning for practical phase-shift optimization in RIS-aided MISO URLLC systems

R Hashemi, S Ali, NH Mahmood… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
We study the joint active/passive beamforming and channel blocklength (CBL) allocation in
a nonideal reconfigurable intelligent surface (RIS)-aided ultrareliable and low-latency …

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 Q-learning based resource management in IRS-assisted VLC systems

A Al Hammadi, L Bariah, S Muhaidat… - … Machine Learning in …, 2023 - ieeexplore.ieee.org
Visible Light Communication (VLC) is a promising enabling technology for the next-
generation wireless networks, as it complements radio-frequency (RF)-based …

Joint scheduling design in wireless powered MEC IoT networks aided by reconfigurable intelligent surface

A Li, Y Liu, M Li, Q Wu, J Zhao - 2021 IEEE/CIC International …, 2021 - ieeexplore.ieee.org
Internet of things (IoT) technology is critical to realize universal connections of everything
and pervasive intelligence for the future world. The forthcoming IoT technology will be …