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Utilizing Multi-Connectivity to Reduce Latency and Enhance Availability for Vehicle to Infrastructure Communication
Karlstads University, Sweden.
Karlstads University, Sweden.
Karlstads University, Sweden.
RISE Research Institutes of Sweden, Digital Systems, Industrial Systems.ORCID iD: 0000-0002-8102-5773
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2022 (English)In: IEEE Transactions on Mobile Computing, ISSN 1536-1233, E-ISSN 1558-0660, Vol. 21, no 1, p. 352-365Article in journal (Refereed) Published
Abstract [en]

Cooperative Intelligent Transport Systems (C-ITS) enable information to be shared wirelessly between vehicles and infrastructure in order to improve transport safety and efficiency. Delivering C-ITS services using existing cellular networks offers both financial and technological advantages, not least since these networks already offer many of the features needed by C-ITS, and since many vehicles on our roads are already connected to cellular networks. Still, C-ITS pose stringent requirements in terms of availability and latency on the underlying communication system; requirements that will be hard to meet for currently deployed 3G, LTE, and early-generation 5G systems. Through a series of experiments in the MONROE testbed (a cross-national, mobile broadband testbed), the present study demonstrates how cellular multi-access selection algorithms can provide close to 100% availability, and significantly reduce C-ITS transaction times. The study also proposes and evaluates a number of low-complexity, low-overhead single-access selection algorithms, and shows that it is possible to design such solutions so that they offer transaction times and availability levels that rival those of multi-access solutions.

Place, publisher, year, edition, pages
2022. Vol. 21, no 1, p. 352-365
Keywords [en]
Cooperative intelligent transport systems (C-ITS), multi-connectivity, multi-access, cellular networks, interface selection
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-49084DOI: 10.1109/TMC.2020.3028306Scopus ID: 85099742008OAI: oai:DiVA.org:ri-49084DiVA, id: diva2:1475779
Available from: 2020-10-13 Created: 2020-10-13 Last updated: 2023-05-19Bibliographically approved

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Abrahamsson, HenrikBen Abdesslem, FehmiAhlgren, Bengt

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