Maximum-Service Channel Assignment in Vehicular Radar-Communication

Spectrum sharing between different technologies has become a necessity as the RF spectrum has become more congested than ever due to the increasing number of connected devices and applications all wishing to access the spectrum simultaneously. Vehicular networks are one of many scenarios of spectrum...

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Main Author: Kafafy, Mai (author)
Other Authors: Ibrahim, Ahmed S. (author), Ismail, Mahmoud (author)
Format: article
Published: 2021
Subjects:
Online Access:http://hdl.handle.net/11073/23893
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author Kafafy, Mai
author2 Ibrahim, Ahmed S.
Ismail, Mahmoud
author2_role author
author
author_facet Kafafy, Mai
Ibrahim, Ahmed S.
Ismail, Mahmoud
author_role author
dc.creator.none.fl_str_mv Kafafy, Mai
Ibrahim, Ahmed S.
Ismail, Mahmoud
dc.date.none.fl_str_mv 2021
2022-06-01T10:08:43Z
2022-06-01T10:08:43Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv M. Kafafy, A. S. Ibrahim and M. H. Ismail, "Maximum-Service Channel Assignment in Vehicular Radar-Communication," in IEEE Access, vol. 9, pp. 138359-138370, 2021, doi: 10.1109/ACCESS.2021.3118964.
2169-3536
http://hdl.handle.net/11073/23893
10.1109/ACCESS.2021.3118964
dc.language.none.fl_str_mv en_US
dc.publisher.none.fl_str_mv IEEE Access
dc.relation.none.fl_str_mv https://doi.org/10.1109/ACCESS.2021.3118964
dc.subject.none.fl_str_mv Channel assignment
Quality of service
Radar systems
Vehicular networks
dc.title.none.fl_str_mv Maximum-Service Channel Assignment in Vehicular Radar-Communication
dc.type.none.fl_str_mv Peer-Reviewed
Published version
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description Spectrum sharing between different technologies has become a necessity as the RF spectrum has become more congested than ever due to the increasing number of connected devices and applications all wishing to access the spectrum simultaneously. Vehicular networks are one of many scenarios of spectrum sharing as vehicles are expected to share the same spectrum for radar sensing and communication purposes. Channel assignment among radar sensors and communication transceivers in automotive systems is crucial for the success of future vehicular networks. This paper proposes an optimization framework for the channel assignment to multiple automotive radars and communication transceivers aiming at maximizing the number of served vehicles under hard quality of service requirements. The channel assignment problem is formulated as an integer linear optimization with binary variables. A heuristic solution that is based on ordered sequential channel assignment (OSCA) is proposed and is shown to achieve at least 92% of the solution obtained from branch-and-cut based techniques with much less computational complexity and run-time; at most 2% of the run-time of branch-and-cut.
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identifier_str_mv M. Kafafy, A. S. Ibrahim and M. H. Ismail, "Maximum-Service Channel Assignment in Vehicular Radar-Communication," in IEEE Access, vol. 9, pp. 138359-138370, 2021, doi: 10.1109/ACCESS.2021.3118964.
2169-3536
10.1109/ACCESS.2021.3118964
language_invalid_str_mv en_US
network_acronym_str aus
network_name_str aus
oai_identifier_str oai:repository.aus.edu:11073/23893
publishDate 2021
publisher.none.fl_str_mv IEEE Access
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
spelling Maximum-Service Channel Assignment in Vehicular Radar-CommunicationKafafy, MaiIbrahim, Ahmed S.Ismail, MahmoudChannel assignmentQuality of serviceRadar systemsVehicular networksSpectrum sharing between different technologies has become a necessity as the RF spectrum has become more congested than ever due to the increasing number of connected devices and applications all wishing to access the spectrum simultaneously. Vehicular networks are one of many scenarios of spectrum sharing as vehicles are expected to share the same spectrum for radar sensing and communication purposes. Channel assignment among radar sensors and communication transceivers in automotive systems is crucial for the success of future vehicular networks. This paper proposes an optimization framework for the channel assignment to multiple automotive radars and communication transceivers aiming at maximizing the number of served vehicles under hard quality of service requirements. The channel assignment problem is formulated as an integer linear optimization with binary variables. A heuristic solution that is based on ordered sequential channel assignment (OSCA) is proposed and is shown to achieve at least 92% of the solution obtained from branch-and-cut based techniques with much less computational complexity and run-time; at most 2% of the run-time of branch-and-cut.American University of SharjahNational Science FoundationIEEE Access2022-06-01T10:08:43Z2022-06-01T10:08:43Z2021Peer-ReviewedPublished versioninfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfM. Kafafy, A. S. Ibrahim and M. H. Ismail, "Maximum-Service Channel Assignment in Vehicular Radar-Communication," in IEEE Access, vol. 9, pp. 138359-138370, 2021, doi: 10.1109/ACCESS.2021.3118964.2169-3536http://hdl.handle.net/11073/2389310.1109/ACCESS.2021.3118964en_UShttps://doi.org/10.1109/ACCESS.2021.3118964oai:repository.aus.edu:11073/238932024-08-22T12:08:20Z
spellingShingle Maximum-Service Channel Assignment in Vehicular Radar-Communication
Kafafy, Mai
Channel assignment
Quality of service
Radar systems
Vehicular networks
status_str publishedVersion
title Maximum-Service Channel Assignment in Vehicular Radar-Communication
title_full Maximum-Service Channel Assignment in Vehicular Radar-Communication
title_fullStr Maximum-Service Channel Assignment in Vehicular Radar-Communication
title_full_unstemmed Maximum-Service Channel Assignment in Vehicular Radar-Communication
title_short Maximum-Service Channel Assignment in Vehicular Radar-Communication
title_sort Maximum-Service Channel Assignment in Vehicular Radar-Communication
topic Channel assignment
Quality of service
Radar systems
Vehicular networks
url http://hdl.handle.net/11073/23893