RRI Adaptive: A standards compliant approach for equitable and stable congestion control in C-V2X networks

Simple item page
dc.contributor.authorMcCarthy, Brianen
dc.contributor.authorO’Driscoll, Aislingen
dc.contributor.funderScience Foundation Irelanden
dc.date.accessioned2024-02-21T12:20:27Z
dc.date.available2024-02-21T12:20:27Z
dc.date.issued2023-12-22en
dc.description.abstractA key topic of interest in all vehicular networking technologies is their ability to deal with dense radio environments as widespread deployment becomes a reality. This requires congestion control mechanisms to maintain adequate communication performance. The current Cellular Vehicle-to-Everything (C-V2X) and its successor New Radio V2X (NR-V2X) standardised congestion control approach is table-based, utilising packet dropping. As shown in past works by the authors of this paper, these approaches exhibit congestion instability and require extensive configuration. To overcome this, algorithmic approaches were standardised, namely ETSI’s DCC Adaptive. Although this can be effective for wireless vehicular communications, it cannot be applied directly to NR-V2X/C-V2X due to incompatibility with the underlying radio scheduling approach, Sensing-Based Semi-Persistent Scheduling (SB-SPS). In previous work, the authors of this paper investigated in detail why this is the case and proposed an algorithmic approach that was compatible with the SB-SPS scheduler, namely RRI Adaptive . This paper provides an in-depth evaluation of RRI Adaptive . Importantly, its efficacy is evaluated not simply from the perspective of maintaining a desired channel load, but also from the perspective of maintaining effective application quality of service. This paper also describes the first study of fairness and stability in the context of C-V2X/NR-V2X congestion control. These are of increased importance, given dynamic channel conditions in vehicular scenarios, and reduced awareness due to degraded quality of service or vehicles starved of radio resources, may increase the likelihood of collisions.en
dc.description.sponsorshipScience Foundation Ireland (Grant Nos: 17/RC-PhD/3479 and 18/SP/5942)en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationMcCarthy, B. and O’Driscoll, A. (2023) 'RRI Adaptive: A standards compliant approach for equitable and stable congestion control in C-V2X networks', 2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet), Rabat, Morocco, 11-13 December, pp. 1-8. doi: https://doi.org/10.1109/CommNet60167.2023.10365283en
dc.identifier.doihttps://doi.org/10.1109/CommNet60167.2023.10365283en
dc.identifier.eissn2771-7402en
dc.identifier.endpage8en
dc.identifier.isbn979-8-3503-2939-1en
dc.identifier.isbn979-8-3503-2938-4en
dc.identifier.isbn979-8-3503-2940-7en
dc.identifier.issn2771-7399en
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/15567
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.ispartof2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet), Rabat, Morocco, 11-13 Decemberen
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres Programme/17/RC-PhD/3479/IE/CONNECT PhD Recruitment Scheme/en
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Spokes Programme::Rolling Call/18/SP/5942/IE/Blended Autonomy Vehicles/en
dc.rights© 2023, IEEE. For the purpose of Open Access, the authors have applied a CC-BY public copyright licence to any Author Accepted Manuscript version arising from this submission.en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectCellular V2Xen
dc.subjectNew Radio V2X LTE-Ven
dc.subjectSidelinken
dc.subjectCongestion controlen
dc.subjectMode 4en
dc.subjectMode 2en
dc.subjectPacket droppingen
dc.subjectSB-SPSen
dc.subjectFairnessen
dc.subjectStabilityen
dc.titleRRI Adaptive: A standards compliant approach for equitable and stable congestion control in C-V2X networksen
dc.typeConference itemen
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
RRI_Adaptive_COMMNET.pdf
Size:
472.43 KB
Format:
Adobe Portable Document Format
Description:
Accepted Version
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
2.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Computer Science - Conference Items