Machine learning-aided operations and communications of unmanned aerial vehicles: A contemporary survey
Over the past decade, Unmanned Aerial Vehicles (UAVs) have provided pervasive, efficient,
and cost-effective solutions for data collection and communications. Their excellent mobility …
and cost-effective solutions for data collection and communications. Their excellent mobility …
Adversarial attacks and defenses in machine learning-empowered communication systems and networks: A contemporary survey
Adversarial attacks and defenses in machine learning and deep neural network (DNN) have
been gaining significant attention due to the rapidly growing applications of deep learning in …
been gaining significant attention due to the rapidly growing applications of deep learning in …
Data and Model Poisoning Backdoor Attacks on Wireless Federated Learning, and the Defense Mechanisms: A Comprehensive Survey
Due to the greatly improved capabilities of devices, massive data, and increasing concern
about data privacy, Federated Learning (FL) has been increasingly considered for …
about data privacy, Federated Learning (FL) has been increasingly considered for …
[HTML][HTML] Over-the-air federated learning: Status quo, open challenges, and future directions
The development of applications based on artificial intelligence and implemented over
wireless networks is increasingly rapidly and is expected to grow dramatically in the future …
wireless networks is increasingly rapidly and is expected to grow dramatically in the future …
Max-Min Fairness in RIS-assisted Anti-Jamming Communications: Optimization versus Deep Reinforcement Learning Approaches
Wireless communication is vulnerable to malicious jamming attacks due to the inherent
broadcasting nature of wireless channels. This paper investigates an anti-jamming …
broadcasting nature of wireless channels. This paper investigates an anti-jamming …
Robust Anti-Jamming Technique for UAV Data Collection in IoT Using Landing Platforms and RIS
AM Almasoud - IEEE Access, 2023 - ieeexplore.ieee.org
Adopting Unmanned Aerial Vehicles (UAVs) in wireless networks provides promising
methods to extend the coverage of the network. However, the uplink communications …
methods to extend the coverage of the network. However, the uplink communications …
Joint Optimization of Beamforming and Noise Injection for Covert Downlink Transmissions in Cell-Free Internet-of-Things Networks
The development of Internet-of-Things (IoT) systems has given rise to security concerns
stemming from the exposure of wireless channels and the exponential growth of connected …
stemming from the exposure of wireless channels and the exponential growth of connected …
Deep Reinforcement Learning Assisted UAV Path Planning Relying on Cumulative Reward mode and Region Segmentation
Z Wang, SX Ng, EIH Mohammed - IEEE Open Journal of …, 2024 - ieeexplore.ieee.org
In recent years, unmanned aerial vehicles (UAVs) have been considered for many
applications, such as disaster prevention and control, logistics and transportation, and …
applications, such as disaster prevention and control, logistics and transportation, and …
Generalized RIS Tile Exclusion Strategy for Indoor mmWave Channels Under Concept Drift
Reconfigurable intelligent surfaces (RIS) experience considerable control overhead,
particularly problematic in mobile multi-user programmable wireless environments (PWEs) …
particularly problematic in mobile multi-user programmable wireless environments (PWEs) …
Intelligent Reflecting Surfaces and Next Generation Wireless Systems
Intelligent reflecting surface (IRS) is a potential candidate for massive multiple-input multiple-
output (MIMO) 2.0 technology due to its low cost, ease of deployment, energy efficiency and …
output (MIMO) 2.0 technology due to its low cost, ease of deployment, energy efficiency and …