Reconfiguring wireless environments via intelligent surfaces for 6G: reflection, modulation, and security

J Xu, C Yuen, C Huang, N Ul Hassan… - Science China …, 2023 - Springer
The reconfigurable intelligent surface (RIS) has been recognized as an essential enabling
technology for sixth-generation (6G) mobile communication networks. An RIS comprises a …

Double deep learning for joint phase-shift and beamforming based on cascaded channels in RIS-assisted MIMO networks

K Li, C Huang, Y Gong, G Chen - IEEE wireless …, 2023 - ieeexplore.ieee.org
This letter investigates machine learning approach for the joint optimal phase shift and
beamforming in the reconfigurable intelligent surface (RIS) assisted multiple-input and …

Lyapunov-driven deep reinforcement learning for edge inference empowered by reconfigurable intelligent surfaces

K Stylianopoulos, M Merluzzi… - ICASSP 2023-2023 …, 2023 - ieeexplore.ieee.org
In this paper, we propose a novel algorithm for energy-efficient, low-latency, accurate
inference at the wireless edge, in the context of 6G networks endowed with reconfigurable …

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 …

Distributed sum-rate maximization of cellular communications with multiple reconfigurable intelligent surfaces

KD Katsanos, P Di Lorenzo… - 2022 IEEE 23rd …, 2022 - ieeexplore.ieee.org
The technology of Reconfigurable Intelligent Surfaces (RISs) has lately attracted
considerable interest from both academia and industry as a low-cost solution for coverage …

Online RIS configuration learning for arbitrary large numbers of 1-bit phase resolution elements

K Stylianopoulos… - 2022 IEEE 23rd …, 2022 - ieeexplore.ieee.org
Reinforcement Learning (RL) approaches are lately deployed for orchestrating wireless
communications empowered by Reconfigurable Intelligent Surfaces (RISs), leveraging their …

DRL-Based Sequential Scheduling for IRS-Assisted MIMO Communications

D Pereira-Ruisánchez, Ó Fresnedo… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Efficient resource allocation strategies are pivotal in vehicular communications as connected
devices steeply increase in scenarios with much more stringent requirements. In this work …

Deep Reinforcement Learning for RIS-Empowered High-Speed Railway Cell-Free Networks

J Xu, C Shan, L Wu, Q Zhang, S Liu… - IEEE Wireless …, 2023 - ieeexplore.ieee.org
Cell-free multiple-input multiple-output (MIMO) and reconfigurable intelligent surface (RIS)
have been envisioned as two promising techniques to enhance the data transmission rate of …

Fairness-Driven Optimization of RIS-Augmented 5G Networks for Seamless 3D UAV Connectivity Using DRL Algorithms

Y Tian, A Alhammadi, J He, A Fakhreddine… - arXiv preprint arXiv …, 2023 - arxiv.org
In this paper, we study the problem of joint active and passive beamforming for
reconfigurable intelligent surface (RIS)-assisted massive multiple-input multiple-output …

Cascaded and Separate Channel Estimation based on CNN for RIS-MIMO Systems

NK Noordin, K Audah, MFBA Rasid, AB Ismail… - … , Technology & Applied …, 2024 - etasr.com
With the dramatic increase in mobile users and wireless devices accessing the network, the
performance of 5G wireless communication systems is severely challenged. Reconfigurable …