Efficient Resource Allocation Algorithms in Satellite Edge Computing: A Survey

To achieve higher throughput, the concept of edge computing on mobile devices has emerged. Subsequently, the idea of MEC was enhanced to satellite edge computing (SEC) to provide broader coverage in remote areas. To address energy and resource issues in SEC, this paper discusses the research trends in algorithms for more efficient resource allocation within SEC systems. Two resource allocation methods are introduced: the DRL-based DQN algorithm and the greedy strategy-based OEC-TA algorithm. The proposed algorithms are validated to significantly improve system performance and resource efficiency by allocating resources more effectively.

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Publication Details

Published
2024-10-16
DOI
https://doi.org/10.1109/ictc62082.2024.10826916
Citations
1
Primary Topic
Satellite Communication Systems
Type
article
Field-Weighted Citation Impact
1.30

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Efficient Resource Allocation Algorithms in Satellite Edge Computing: A Survey

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Efficient Resource Allocation Algorithms in Satellite Edge Computing: A Survey

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article en
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Abstract

To achieve higher throughput, the concept of edge computing on mobile devices has emerged. Subsequently, the idea of MEC was enhanced to satellite edge computing (SEC) to provide broader coverage in remote areas. To address energy and resource issues in SEC, this paper discusses the research trends in algorithms for more efficient resource allocation within SEC systems. Two resource allocation methods are introduced: the DRL-based DQN algorithm and the greedy strategy-based OEC-TA algorithm. The proposed algorithms are validated to significantly improve system performance and resource efficiency by allocating resources more effectively.

Chung-Ang University (KR)
National Research Foundation of Korea, Institute for Information and Communications Technology Promotion
Decent work and economic growth
Openalex Percentile: Top 11%
Satellite Communication Systems
1.30
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