An Effective Scheme for Delay Minimization in a Multi-UAV-Enabled NOMA-MEC System

Integrating unmanned aerial vehicles (UAVs) with mobile edge computing (MEC) presents a viable approach to addressing challenges posed by computation-intensive tasks. Faced with scarce communication resources, this letter adopts non-orthogonal multiple access (NOMA) to enhance spectrum efficiency, a...

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Bibliographic Details
Published in:IEEE communications letters 2024-11, p.1-1
Main Authors: Lu, Ying, Luo, Zhiyong
Format: Article
Language:English
Subjects:
3D trajectory optimization
Autonomous aerial vehicles
Delays
MEC
Minimization
NOMA
Resource management
Servers
task delay
Three-dimensional displays
Time-frequency analysis
Trajectory
Trajectory optimization
UAV
user association
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Summary:Integrating unmanned aerial vehicles (UAVs) with mobile edge computing (MEC) presents a viable approach to addressing challenges posed by computation-intensive tasks. Faced with scarce communication resources, this letter adopts non-orthogonal multiple access (NOMA) to enhance spectrum efficiency, aiming to minimize the sum maximum delay of processing tasks from wandering user equipment (UEs) in a multi-UAV-enabled MEC system by jointly optimizing user association, offloading strategy, resource allocation and UAV three-dimensional (3D) trajectories. We propose a K-means-based user association and multi-agent soft actor-critic (MSAC)-based algorithm, which utilizes entropy maximization for exploration and stable learning to address the non-convex problem. Simulation results show that our proposed algorithm outperforms other schemes.
ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2024.3492282