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Quantum Scheduling for Millimeter-Wave Observation Satellite Constellationoa mark
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Publication Year
2021-08-01
Journal
17th IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2021 - Proceedings
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
17th IEEE VTS Asia Pacific Wireless Communications Symposium, APWCS 2021 - Proceedings
Keyword
Maximum Weight Independent Set (MWIS)Quantum OptimizationSatellite ConstellationScheduling
Mesh Keyword
Maximum weight independent setMaximum weight independent setsNetwork scenarioObservation satellitesOptimization-based algorithmQuantum optimizationSatellite constellationsTarget monitoringWeight independent setsWireless link
All Science Classification Codes (ASJC)
Computer Networks and CommunicationsComputer Science ApplicationsSignal Processing
Abstract
In beyond 5G and 6G network scenarios, the use of satellites has been actively discussed for extending target monitoring areas, even for extreme circumstances, where the monitoring functionalities can be realized due to the usage of millimeter-wave wireless links. This paper designs an efficient scheduling algorithm which minimizes overlapping monitoring areas among observation satellite constellation. In order to achieve this objective, a quantum optimization based algorithm is used because the overlapping can be mathematically modelled via a max-weight independent set (MWIS) problem which is one of well-known NP-hard problems.
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/36668
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85111180441&origin=inward
DOI
https://doi.org/10.1109/apwcs50173.2021.9548770
Journal URL
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=9548745
Type
Conference
Funding
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (2019M3E4A1080391, 2021R1A4A1030775). J. Kim, S. Jung, and J.-H. Kim are the corresponding authors of this paper (e-mails: joongheon@korea.ac.kr, jung-soyi@korea.ac.kr, jkim@ajou.ac.kr).
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Jung, Soyi Image
Jung, Soyi정소이
Department of Electrical and Computer Engineering
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