Machine learning for uav-aided its: A review with comparative study
Unmanned Aerial Vehicles (UAVs) have immense potential to enhance Intelligent Transport
Systems (ITS) by aiding in real-time traffic monitoring, emergency response, and …
Systems (ITS) by aiding in real-time traffic monitoring, emergency response, and …
Advancing UAV Communications: A Comprehensive Survey of Cutting-Edge Machine Learning Techniques
C Sun, G Fontanesi, B Canberk… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
This paper provides a comprehensive overview of the evolution of Machine Learning (ML),
from traditional to advanced, in its application and integration into unmanned aerial vehicle …
from traditional to advanced, in its application and integration into unmanned aerial vehicle …
Learning with limited samples: Meta-learning and applications to communication systems
Deep learning has achieved remarkable success in many machine learning tasks such as
image classification, speech recognition, and game playing. However, these breakthroughs …
image classification, speech recognition, and game playing. However, these breakthroughs …
Age and Power Minimization via Meta-Deep Reinforcement Learning in UAV Networks
Age-of-information (AoI) and transmission power are crucial performance metrics in low
energy wireless networks, where information freshness is of paramount importance. This …
energy wireless networks, where information freshness is of paramount importance. This …
Bayesian and multi-armed contextual meta-optimization for efficient wireless radio resource management
Optimal resource allocation in modern communication networks calls for the optimization of
objective functions that are only accessible via costly separate evaluations for each …
objective functions that are only accessible via costly separate evaluations for each …
Unmanned Aerial Vehicle-Aided Intelligent Transportation Systems: Vision, Challenges, and Opportunities
With their inherent attributes such as mobility, flexibility, and adaptive altitude, Unmanned
Aerial Vehicles (UAVs) can potentially enable Intelligent Transportation Systems (ITS) to be …
Aerial Vehicles (UAVs) can potentially enable Intelligent Transportation Systems (ITS) to be …
MADRL-Based UAVs Trajectory Design with Anti-Collision Mechanism in Vehicular Networks
In upcoming 6G networks, unmanned aerial vehicles (UAVs) are expected to play a
fundamental role by acting as mobile base stations, particularly for demanding vehicle-to …
fundamental role by acting as mobile base stations, particularly for demanding vehicle-to …
On learning intrinsic rewards for faster multi-agent reinforcement learning based MAC protocol design in 6G wireless networks
In this paper, we propose a novel framework for designing a fast convergent multi-agent
reinforcement learning (MARL)-based medium access control (MAC) protocol operating in a …
reinforcement learning (MARL)-based medium access control (MAC) protocol operating in a …
Density-Aware Reinforcement Learning to Optimise Energy Efficiency in UAV-Assisted Networks
Unmanned aerial vehicles (UAVs) serving as aerial base stations can be deployed to
provide wireless connectivity to mobile users, such as vehicles. However, the density of …
provide wireless connectivity to mobile users, such as vehicles. However, the density of …
Leveraging Meta-DRL for UAV Trajectory Planning and Radio Resource Management
Unmanned Aerial Vehicles (UAVs), functioning as Unmanned Aerial Base Stations (UABSs),
hold considerable potential for augmenting vehicular network performance through on …
hold considerable potential for augmenting vehicular network performance through on …