UAV-Enabled Relaying and Edge Computing: Hybrid Network Optimization

Bo Ma

doi:10.1109/TVT.2025.3549366

UAV-Enabled Relaying and Edge Computing: Hybrid Network Optimization

2025-07-01

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DOI：10.1109/TVT.2025.3549366

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Abstract

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This paper exploits an Unmanned Aerial Vehicle assisted Mobile Edge Computing (UAV-MEC) system to meet the computation demand of User Equipments (UEs). However, in conventional UAV-MEC architecture, a UAV is dedicated only to one single service, which will inevitably limit overall system performance. To address the above issue of the conventional UAV-MEC architecture, we propose a hybrid UAV-MEC model. In this model, a UAV is treated as an agent to provide either relay or computing services. Moreover, we propose an MEC Multiple Agent UAV Trajectory and User Association Policy Gradient (MEC-MAUTUA-PG) algorithm to optimize offloading strategies of the UEs as well as the trajectory design of UAV. We show the superiority of the proposed algorithm in terms of delay and the safety of trajectory design of UAV in the environment.

Keywords:

Unmanned aerial vehicle assisted mobile edge computing

trajectory design

deep deterministic policy gradient algorithm (DDPG)

UAV-Enabled Relaying and Edge Computing: Hybrid Network Optimization

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