Artificial Intelligence for Wireless Physical-Layer Technologies (AI4PHY): A Comprehensive Survey

N Ye, S Miao, J Pan, Q Ouyang, X Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Artificial intelligence (AI) has become a promising solution for meeting the stringent
performance requirements on wireless physical layer in sixth-generation (6G) …

Safe DQN-based AoI-minimal task offloading for UAV-aided edge computing system

H Zhao, G Lu, Y Liu, Z Chang, L Wang… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Utilizing the unmanned aerial vehicle (UAV) for task offloading over a large geographic area
offers a promising solution to guarantee information freshness, ie, Age of Information (AoI) …

A Novel Channel Estimation Framework in MIMO Using Serial Cascaded Multiscale Autoencoder and Attention LSTM with Hybrid Heuristic Algorithm

BMR Manasa, V Pakala, R Chinthaginjala, M Ayadi… - Sensors, 2023 - mdpi.com
In wireless communication, multiple signals are utilized to receive and send information in
the form of signals simultaneously. These signals consume little power and are usually …

An Adaptive Deployment Scheme of Unmanned Aerial Vehicles in Dynamic Vehicle Networking for Complete Offloading

Z Liao, C Yuan, B Zheng… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs), due to their flexible deployment, are used as a three-
dimensional space assistant tool for Vehicular Edge Computing (VEC) to cover moving …

Joint Topology Reconstruction and Resource Allocation for UAV-IoT Networks

WB Sun, L Zhao, X Yang, L Wang… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Due to high flexible deployment and enhanced transmission capabilities, unmanned aerial
vehicle (UAV) has attracted significant attention in recent years. UAV can serve as base …

Toward 3D UAV-Ground BSs CoMP-NOMA Transmission: Optimal Resource Allocation and Trajectory Design

H Zeng, R Zhang, X Zhu, Z Wei, Y Jiang… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
In this paper, we focus on the resource allocation and unmanned aerial vehicle (UAV) three-
dimensional (3D) trajectory design for the UAV-ground base station (GBS) coordinated multi …

DDPG-Based Optimization for Zero-Forcing Transmission in UAV-Relay Massive MIMO Networks

MTP Le, V Nguyen-Duy-Nhat… - IEEE Open Journal of …, 2024 - ieeexplore.ieee.org
This study explores the advantages of employing an unmanned aerial vehicle (UAV) in a
massive multiple-input multiple-output (MIMO) network with zero-forcing processing at the …

UAV-Assisted Enhanced Coverage and Capacity in Dynamic MU-mMIMO IoT Systems: A Deep Reinforcement Learning Approach

MM Ghadaksaz, M Mahmood, T Le-Ngoc - arXiv preprint arXiv …, 2024 - arxiv.org
This study focuses on a multi-user massive multiple-input multiple-output (MU-mMIMO)
system by incorporating an unmanned aerial vehicle (UAV) as a decode-and-forward (DF) …

Spider RIS: Mobilizing Intelligent Surfaces for Enhanced Wireless Communications

I Yildirim, M Mahmood, E Basar, T Le-Ngoc - arXiv preprint arXiv …, 2024 - arxiv.org
In this study, we introduce Spider RIS technology, which offers an innovative solution to the
challenges encountered in movable antennas (MAs) and unmanned aerial vehicle (UAV) …

Multiple UAV-Assisted Cooperative DF Relaying in Multi-User Massive MIMO IoT Systems

M Mahmood, Y Yuan, T Le-Ngoc - arXiv preprint arXiv:2404.03068, 2024 - arxiv.org
This work considers a multi-user massive multiple-input multiple-output (MU-mMIMO)
Internet-of-Things (IoT) system, where multiple unmanned aerial vehicles (UAVs) operating …