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Utilizing Multi-Connectivity to Reduce Latency and Enhance Availability for Vehicle to Infrastructure Communication
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013). (Distributed Systems and Communications)ORCID iD: 0000-0002-8870-9887
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013). (Distributed Systems and Communications Research Group (DISCO))ORCID iD: 0000-0003-4147-9487
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Mathematics and Computer Science (from 2013). (Distributed Systems and Communications Research Group (DISCO))ORCID iD: 0000-0001-7311-9334
RISE.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 5, p. 1874-1891Article 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
Institute of Electrical and Electronics Engineers (IEEE), 2022. Vol. 21, no 5, p. 1874-1891
Keywords [en]
Cooperative intelligent transport systems, C-ITS, multi-connectivity, multi-access, cellular networks, interface selection
National Category
Telecommunications Communication Systems
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kau:diva-80311DOI: 10.1109/TMC.2020.3028306ISI: 000778914700024Scopus ID: 2-s2.0-85099742008OAI: oai:DiVA.org:kau-80311DiVA, id: diva2:1469505
Projects
5GENESIS, DigitalWell Arena
Funder
EU, Horizon 2020, 815178Region VärmlandAvailable from: 2020-09-22 Created: 2020-09-22 Last updated: 2022-12-19Bibliographically approved
In thesis
1. Improving the Adaptability of the End-host: Service-aware Network Stack Tuning
Open this publication in new window or tab >>Improving the Adaptability of the End-host: Service-aware Network Stack Tuning
2023 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

The Internet of today is very different from how it used to be. Modern networked applications are becoming increasingly diverse. Consequently, a variety of requirements must be met by the network. Efforts to make the underlying mechanisms of the Internet more flexible have therefore been made to adapt to this diversification. In this thesis, we explore how information about application requirements can be leveraged to optimize the network protocol stack of end-hosts during run-time. In addition, we improve the visibility of the network to the end-host in order to enable additional flexibility in the usage of the network's resources.

We conduct tests in real-world testbeds and examine how services might be developed to optimize latency, throughput, and availability for various network traffic scenarios, including 360-degree video streaming, drone autopilots, and connected vehicles. We show how multi-connectivity, where the end-host is connected via multiple network paths simultaneously, may be used to significantly reduce latency and increase availability, while minimizing the overhead imposed on the network by carefully considering the network selection process. Furthermore, we describe an architecture that allows the user equipment and network functionality inside the 5G core network to cooperatively optimize the resource usage of the network.

Abstract [en]

The Internet of today is very different from how it used to be. Modern networked applications are becoming increasingly diverse. Consequently, a variety of requirements must be met by the network. This presents a massive challenge, since the Internet was originally designed on best-effort principle. 

To address this challenge, we explore how Internet end-hosts can flexibly adapt to the needs of individual applications, by dynamically configuring the network protocol stack during run-time. In addition, we improve the visibility of the network, allowing end-hosts to better utilize the resources of the network. 

We conduct tests in real-world testbeds and examine how services might be developed to optimize latency, throughput, and availability for various network traffic scenarios. We also show how multiple network paths can be used simultaneously to significantly reduce latency and increase availability, while minimizing the overhead imposed on the network. Furthermore, we describe an architecture that allows the user equipment and network functionality inside the 5G core network to cooperatively optimize the resource usage of the network.

Place, publisher, year, edition, pages
Karlstad: Karlstads universitet, 2023. p. 23
Series
Karlstad University Studies, ISSN 1403-8099 ; 2023:2
Keywords
transport layer, 5G, transport services, mobile broadband, network slicing, latency, availability, service optimization, multi-connectivity
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
urn:nbn:se:kau:diva-92742 (URN)978-91-7867-332-2 (ISBN)978-91-7867-333-9 (ISBN)
Presentation
2023-02-16, 21A342, Eva Erikssonsalen, Karlstad, 13:15 (English)
Opponent
Supervisors
Note

Paper II was published as a manuscript in the thesis. It is an extended version of the paper, which adds additional material that had to be cut from the original paper due to page limit restrictions.

Available from: 2023-01-26 Created: 2022-12-19 Last updated: 2023-06-07Bibliographically approved

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Rabitsch, AlexanderGrinnemo, Karl-JohanBrunström, AnnaAlfredsson, Stefan

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