Collaborative Task Offloading Optimization for Satellite Mobile Edge Computing Using Multi-Agent Deep Reinforcement Learning

Satellite mobile edge computing (SMEC) achieves efficient processing for space missions by deploying computing servers on low Earth orbit (LEO) satellites, which supplements a strong computing service for future satellite-terrestrial integrated networks. However, considering the spatio-temporal cons...

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Bibliographic Details
Published in:	IEEE transactions on vehicular technology Vol. 73; no. 10; pp. 15483 - 15498
Main Authors:	Zhang, Hangyu, Zhao, Hongbo, Liu, Rongke, Kaushik, Aryan, Gao, Xiangqiang, Xu, Shenzhan
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.10.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Collaboration Computation offloading Computational modeling Cooperative systems Decisions Deep learning Deep reinforcement learning distributed cooperative computing Edge computing Low earth orbit satellites Low earth orbits Machine learning Mobile computing Multi-access edge computing multi-agent deep reinforcement learning Multi-agent systems Multiagent systems Networks Optimization Redesign Resource allocation Resource management Satellite broadcasting Satellite communication Satellite mobile edge computing Satellite observation Satellites Space missions
ISSN:	0018-9545, 1939-9359
Online Access:	Get full text
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