Deep learning-aided 6G wireless networks: A comprehensive survey of revolutionary PHY architectures

B Ozpoyraz, AT Dogukan, Y Gevez… - IEEE Open Journal …, 2022 - ieeexplore.ieee.org
Deep learning (DL) has proven its unprecedented success in diverse fields such as
computer vision, natural language processing, and speech recognition by its strong …

Aerial intelligent reflecting surfaces in mimo-noma networks: Fundamentals, potential achievements, and challenges

BKS Lima, AS De Sena, R Dinis… - IEEE Open Journal …, 2022 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) technique and unmanned aerial vehicles (UAVs)
have been recognized as promising technologies for enabling the stringent requirements of …

Multi-agent reinforcement learning-based buffer-aided relay selection in IRS-assisted secure cooperative networks

C Huang, G Chen, KK Wong - IEEE transactions on information …, 2021 - ieeexplore.ieee.org
This paper proposes a multi-agent deep reinforcement learning-based buffer-aided relay
selection scheme for an intelligent reflecting surface (IRS)-assisted secure cooperative …

Intelligent resource allocation for IRS-enhanced OFDM communication systems: A hybrid deep reinforcement learning approach

W Wu, F Yang, F Zhou, Q Wu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Orthogonal frequency division multiplexing (OFDM) systems have been widely applied in
practice since OFDM has diverse outstanding advantages. However, their performance …

Deep learning enabled IRS for 6G intelligent transportation systems: A comprehensive study

W Song, S Rajak, S Dang, R Liu, J Li… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Intelligent Transportation Systems (ITS) play an increasingly significant role in our life, where
safe and effective vehicular networks supported by sixth-generation (6G) communication …

FlyReflect: Joint flying IRS trajectory and phase shift design using deep reinforcement learning

TP Truong, NN Dao, S Cho - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Aerial access infrastructures have been considered a compulsory component of the sixth-
generation (6G) networks, where airborne vehicles play the role of mobile access points to …

Intelligent omni surface-assisted secure MIMO communication networks with artificial noise

S Fang, G Chen, Z Abdullah, Y Li - IEEE communications letters, 2022 - ieeexplore.ieee.org
Intelligent omni surface (IOS) technology that can provide both reflection and refraction for
signals impinging on its surface, was recently proposed to overcome the coverage area …

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 …

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 …

Machine-learning-empowered passive beamforming and routing design for multi-RIS-assisted multihop networks

C Huang, G Chen, J Tang, P Xiao… - IEEE internet of things …, 2022 - ieeexplore.ieee.org
This article proposes a novel machine-learning-based routing optimization for the multiple
reconfigurable intelligent surfaces (M-RIS)-assisted multihop cooperative networks, in which …