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Julian Heinovski, Florian Klingler, Falko Dressler and Christoph Sommer, "A Simulative Analysis of the Performance of IEEE 802.11p and ARIB STD-T109," Elsevier Computer Communications, vol. 122, pp. 84–92, June 2018.


Vehicular networking, formerly a theorized application of wireless networking concepts to the road, is already seeing first deployments. As a consequence, the focus of research and development is shifting to higher layer aspects, that is, investigating the performance of systems from an application layer perspective. It is important to remember, though, that these applications rest on wholly different networking stacks, depending on whether they are being deployed in the U.S., in Europe, or in Japan. To ensure that simulative performance studies, the tool of choice for many researchers, are valid for more than one region, a differentiated view on (and a means of comparing) network performance across networking stacks is needed. To remedy this, we conducted an extensive simulation study which compares the performance of IEEE 802.11p and ARIB T109. Other than earlier studies, we take into account both their differences on the physical layer (5.9 GHz vs. 700 MHz band) as well as in medium access (pure CSMA/CA vs. a combination with TDMA). We base our results on an Open Source implementation of the ARIB T109 standard we developed for the vehicular network simulation framework Veins, validating results against an analytical study. Our model also encompasses parameters for a computationally inexpensive shadow fading model for suburban environments, the result of an extensive measurement campaign.

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Julian Heinovski
Florian Klingler
Falko Dressler
Christoph Sommer

BibTeX reference

    author = {Heinovski, Julian and Klingler, Florian and Dressler, Falko and Sommer, Christoph},
    doi = {10.1016/j.comcom.2018.03.016},
    title = {{A Simulative Analysis of the Performance of IEEE 802.11p and ARIB STD-T109}},
    pages = {84--92},
    journal = {Elsevier Computer Communications},
    issn = {0140-3664},
    publisher = {Elsevier},
    month = {6},
    volume = {122},
    year = {2018},

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