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Erschienen in: Peer-to-Peer Networking and Applications 5/2021

28.05.2021

A distributed matching game for exploring resource allocation in satellite networks

verfasst von: Xinru Mi, Chungang Yang, Yanbo Song, Ying Ouyang

Erschienen in: Peer-to-Peer Networking and Applications | Ausgabe 5/2021

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Abstract

Resource allocation strategy is drawing much more attention in satellite networks due to limited resources, e.g., limited observation resources and transmission resources. For earth observation tasks, not all potential observation tasks are being observed, and not all observation data can be transmitted to the ground station. It is especially crucial to improve the efficiency of resource utilization and satisfy the Quality of Service (QoS) requirements of users. In this paper, we try to implement matching theory to solve the resource allocation problem. We propose a novel one-to-one matching model under bilateral preferences by building the preference functions for tasks and resources. Then, we introduce the Task-Oriented Gale-Shapley (T-O GS) algorithm and Adjacent Time Slot Matching (ATSM) algorithm to dynamically achieve stable matching. Furthermore, we analyze the stability and uniqueness of the proposed algorithm. The simulation results demonstrate that the proposed algorithm can significantly improve the availability and the efficiency of resource allocation with low computational complexity.

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Metadaten
Titel
A distributed matching game for exploring resource allocation in satellite networks
verfasst von
Xinru Mi
Chungang Yang
Yanbo Song
Ying Ouyang
Publikationsdatum
28.05.2021
Verlag
Springer US
Erschienen in
Peer-to-Peer Networking and Applications / Ausgabe 5/2021
Print ISSN: 1936-6442
Elektronische ISSN: 1936-6450
DOI
https://doi.org/10.1007/s12083-021-01158-7

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