RS-DRL-based offloading policy and UAV trajectory design in F-MEC systems

RS-DRL-based offloading policy and UAV trajectory design in F-MEC systems

For better flexibility and greater coverage areas, Unmanned Aerial Vehicles (UAVs) have been applied in Flying Mobile Edge Computing (F-MEC) systems to offer offloading services for the User Equipment (UEs). This paper considers a disaster-affected scenario where UAVs undertake the role of MEC serve...

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Bibliographic Details
Main Authors: Yulu Yang, Han Xu, Zhu Jin, Tiecheng Song, Jing Hu, Xiaoqin Song
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2025-04-01
Series:Digital Communications and Networks
Subjects:
Flying mobile edge computing
Task offloading
Reward shaping
Deep reinforcement learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2352864823001827
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