A survey on reinforcement learning for reconfigurable intelligent surfaces in wireless communications

AA Puspitasari, BM Lee - Sensors, 2023 - mdpi.com
A reconfigurable intelligent surface (RIS) is a development of conventional relay technology
that can send a signal by reflecting the signal received from a transmitter to a receiver …

Going Beyond a Simple RIS: Trends and Techniques Paving the Path of Future RIS

K Shafique, M Alhassoun - IEEE Open Journal of Antennas …, 2024 - ieeexplore.ieee.org
To have uninterrupted wireless connectivity, higher throughput, and latency rate down to
nanoseconds; future networks will rely heavily on higher frequency bands, yet these signals …

Review on Machine Learning for Intelligent Routing, Key Requirement and Challenges Towards 6G

B Langpoklakpam, LK Murry - Computer Networks and …, 2023 - ojs.wiserpub.com
The constant desire for faster data rates, lower latency, improved reliability, global device
integration, and pervasiveness are some of the factors driving the development of next …

[HTML][HTML] A Deployment Optimization for Wireless Sensor Networks Based on Stacked Auto Encoder and Probabilistic Neural Network

H Feng, C Xu, B Jin, M Zhang - Digital Communications and Networks, 2024 - Elsevier
In the field of consumer electronics, Wireless Sensor Networks (WSNs) can be used to build
large-scale IoT systems and achieve intelligent data collection and processing. This paper …

Multi-hop Multi-RIS Wireless Communication Systems: Multi-reflection Path Scheduling and Beamforming

X Ma, H Zhang, X Chen, Y Fang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Reconfigurable intelligent surface (RIS) provides a promising way to proactively augment
propagation environments for better transmission performance in wireless communications …

Federated Learning for RIS-Assisted UAV-Enabled Wireless Networks: Learning-Based Optimization for UAV Trajectory, RIS Phase Shifts and Weighted Aggregation

C Huang, G Chen, P Xiao, D Mi… - IECON 2023-49th …, 2023 - ieeexplore.ieee.org
This paper investigates a learning-based approach autonomously and jointly optimizing the
trajectory of unmanned aerial vehicle (UAV), phase shifts of reconfigurable intelligent …

DeepRISBeam: Deep Learning-based RIS Beam Management for Radio Channel Optimization

I Ioannou, M Raspopoulos, P Nagaradjane… - IEEE …, 2024 - ieeexplore.ieee.org
In the rapidly developing field of wireless communication, the control of beams in
Reconfigurable Intelligent Surfaces (RISs) has emerged as a promising element beyond 5G …

Deep Learning-Based Resource Allocation in UAV-RIS-Aided Cell-Free Hybrid NOMA/OMA Networks

C Huang, G Chen, Y Wen, Z Lin… - … 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
This paper investigates a deep learning-based algorithm to optimize the unmanned aerial
vehicle (UAV) trajectory and reconfigurable intelligent surface (RIS) reflection coefficients in …

Systematic review of the reconfigurable intelligent surfaces through wireless communication

JQ Kadhim, AH Sallomi - AIP Conference Proceedings, 2023 - pubs.aip.org
The reconfigurable intelligent surface (RIS) technologies developed over the decades to
create a smart radio environment for its efficient energy and affordable cost. RISs use …

Optimization of Loads for Antenna-Based Scattering Systems Using Feedforward Neural Networks

AD Kuznetsov, J Holopainen… - 2024 18th European …, 2024 - ieeexplore.ieee.org
In this paper, we optimize the passive loads of a scattering system consisting of multiple
coupled antennas using multi-layer feedforward neural networks. The developed in this …