Deep Reinforcement Learning-Based Trajectory Optimization and Resource Allocation for Secure UAV-Enabled MEC Networks

Yuan Gao; Yu Ding; Ye Wang; Weidang Lu; Yang Guo; Ping Wang; Jiang Cao

doi:10.1109/infocomwkshps61880.2024.10620895

ScienceGate Book Chapters

JOURNAL ARTICLE

Deep Reinforcement Learning-Based Trajectory Optimization and Resource Allocation for Secure UAV-Enabled MEC Networks

Yuan Gao Yu Ding Ye Wang Weidang Lu Yang Guo Ping Wang Jiang Cao

Year: 2024 Pages: 01-05

DOI: 10.1109/infocomwkshps61880.2024.10620895

Get Full-Text PDF Get Analytical Report

Keywords:

Reinforcement learning Computer science Trajectory Resource allocation Artificial intelligence Trajectory optimization Distributed computing Resource management (computing) Computer network

Metrics

Cited By

10.55

FWCI (Field Weighted Citation Impact)

Refs

0.97

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

UAV Applications and Optimization

Physical Sciences → Engineering → Aerospace Engineering

Distributed Control Multi-Agent Systems

Physical Sciences → Computer Science → Computer Networks and Communications

Robotic Path Planning Algorithms

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Deep Reinforcement Learning-Based Trajectory Optimization and Resource Allocation for Secure UAV-Enabled MEC Networks

Metrics

Citation History

Topics

Related Documents

Deep Reinforcement Learning Based Trajectory Design and Resource Allocation for Task-Aware Multi-Uav Enabled Mec Networks

Deep reinforcement learning based trajectory design and resource allocation for task-aware multi-UAV enabled MEC networks

Deep Reinforcement Learning-Based Joint Trajectory Design and Resource Allocation for Secure and Energy-Efficient UAV Networks

Deep Reinforcement Learning-Based Resource Allocation for UAV-Enabled Federated Edge Learning

Model Predictive Control Enabled UAV Trajectory Optimization and Secure Resource Allocation