[HTML][HTML] Review on Channel Estimation for Reconfigurable Intelligent Surface Assisted Wireless Communication System

Y Yu, J Wang, X Zhou, C Wang, Z Bai, Z Ye - Mathematics, 2023 - mdpi.com
With the dramatic increase in the number of mobile users and wireless devices accessing
the network, the performance of fifth generation (5G) wireless communication systems has …

Robust Transmission Design in Multi-Objective RIS-Aided SWIPT IoT Communications

V Sharma, R Allu, SK Singh, K Singh… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
This work investigates the performance of simultaneous wireless information and power
transfer (SWIPT) in a reconfigurable intelligent surface (RIS)-aided Internet of Things (IoT) …

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 …

WMMSE-Based Rate Maximization for RIS-Assisted MU-MIMO Systems

H Choi, AL Swindlehurst, J Choi - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Reconfigurable intelligent surface (RIS) technology, given its ability to favorably modify
wireless communication environments, will play a pivotal role in the evolution of future …

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 …

Phase Shift Optimization for RIS enabled PNC System with Multiple Antennas

M İlgüy, B Özbek, L Musavian, S Mumtaz - IEEE Access, 2024 - ieeexplore.ieee.org
Reconfigurable intelligent surfaces (RIS) have been developed to exploit the stochastic
characteristics of the propagation environment for next generation wireless systems. On the …

Deep Learning Based Hybrid Precoding for RIS-aided Broadband Terahertz Communication Systems in the Face of Beam Squint

Q Yuan, L Xiao, C He, P Xiao… - IEEE Wireless …, 2023 - ieeexplore.ieee.org
In this letter, we design a wideband hybrid reconfigurable intelligent surface network
(WHRIS-Net) based on deep learning for reconfigurable intelligent surface (RIS)-assisted …

Joint Optimization for RIS-Aided Hybrid FSO SAGINs with Deep Reinforcement Learning

K Guo, M Wu, X Li, S Mumtaz… - … 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
The trend of integrated satellite-HAP-ground networks (IS-HAP-GNs) as an critical directions
for the future development of next generation network technology is widely recognized by …

Semi-Supervised Space Target Recognition Algorithm Based on Integrated Network of Imaging and Recognition in Radar Signal Domain

C Li, Y Li, W Zhu, J Yang, W Qu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The application of deep learning to inverse synthetic aperture radar (ISAR) target
recognition helps to improve accuracy in space target monitoring. However, the orbit transfer …

Graph Neural Network-Based Joint Beamforming for Hybrid Relay and Reconfigurable Intelligent Surface Aided Multiuser Systems

BJ Chen, RY Chang, FT Chien… - IEEE Wireless …, 2023 - ieeexplore.ieee.org
This letter examines a downlink multiple-input single-output (MISO) system, where a base
station (BS) with multiple antennas sends data to multiple single-antenna users with the help …