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Trustworthy handover in LEO satellite mobile networksopen access

Authors
Jung, S.Lee, M.-S.Kim, J.Yun, M.-Y.Kim, J.Kim, J.-H.
Issue Date
Sep-2022
Publisher
Korean Institute of Communication Sciences
Keywords
Deep learning; Handover; LEO satellite; Myerson auction
Citation
ICT Express, v.8, no.3, pp.432 - 437
Indexed
SCIE
SCOPUS
KCI
Journal Title
ICT Express
Volume
8
Number
3
Start Page
432
End Page
437
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/144168
DOI
10.1016/j.icte.2021.10.011
ISSN
2405-9595
Abstract
Recently, a low earth orbit (LEO) satellite network is one of major systems to provide seamless access for terrestrial network systems. In order to provide robust access, efficient handover mechanisms are essential. However, conventional mechanisms may introduce frequent handovers due to the rapid movement of satellites. To deal with this problem, this paper proposes a learning-based auction handover under the consideration of received signal strength and service time between terrestrial users and satellites. The reason why auction-based approach is utilized is that it is generally considered as trustworthy. Our experiment results verify the proposed algorithm achieves desired performance. © 2021 The Author(s)
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공과대학 (School of Electrical Engineering)
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