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

dc.contributor.authorMcCarthy, Brian
dc.contributor.authorO'Driscoll, Aisling
dc.contributor.funderScience Foundation Ireland
dc.date.accessioned2023-12-11T16:45:46Z
dc.date.available2023-12-11T16:02:58Zen
dc.date.available2023-12-11T16:45:46Z
dc.date.issued2023-12en
dc.date.updated2023-12-11T16:03:02Zen
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.
dc.description.statusPeer revieweden
dc.description.versionAccepted Version
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’, in 2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet). Rabat, Morocco: IEEE, pp. 1–8. Available at: https://doi.org/10.1109/CommNet60167.2023.10365283.en
dc.identifier.doi10.1109/CommNet60167.2023.10365283en
dc.identifier.endpage8
dc.identifier.startpage1
dc.identifier.urihttps://hdl.handle.net/10468/15317
dc.language.isoenen
dc.publisherIEEEen
dc.relation.ispartofIEEE 6th International Conference on Advanced Communication Technologies and Networking, CommNet 2023
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres Programme/17/RC-PhD/3479/IE/CONNECT PhD Recruitment Scheme/
dc.rights© 2023 the authors: For the purpose of Open Access, the author has applied a CC-BY public copyright licence to any Author Accepted Manuscript version arising from this submission. Published version © IEEE
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCellular V2X
dc.subjectNew Radio V2X LTE-V
dc.subjectSidelink
dc.subjectCongestion control
dc.subjectMode 4
dc.subjectMode 2
dc.subjectPacket dropping
dc.subjectSB-SPS
dc.subjectFairness
dc.subjectStability 2
dc.subjectPacket dropping
dc.subjectSB-SPS
dc.subjectFairness
dc.subjectStability
dc.titleRRI Adaptive: A standards compliant approach for equitable and stable congestion control in C-V2X networks.
dc.typeConference Item
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