Fine-Grained vs. Average Reliability for V2V Communications around Intersections
Paper in proceeding, 2017

Intersections are critical areas of the transportation infrastructure associated with 47% of all road accidents. Vehicle-to-vehicle (V2V) communication has the potential of preventing up to 35% of such serious road collisions. In fact, under the 5G/LTE Rel.15+ standardization, V2V is a critical use-case not only for the purpose of enhancing road safety, but also for enabling traffic efficiency in modern smart cities. Under this anticipated 5G definition, high reliability of 0.99999 is expected for semi-autonomous vehicles (i.e., driver-in-the-loop). As a consequence, there is a need to assess the reliability, especially for accident-prone areas, such as intersections. We unpack traditional average V2V reliability in order to quantify its related fine-grained V2V reliability. Contrary to existing work on infinitely large roads, when we consider finite road segments of significance to practical real-world deployment, fine-grained reliability exhibits bimodal behavior. Performance for a certain vehicular traffic scenario is either very reliable or extremely unreliable, but nowhere in relative proximity to the average performance.

Connected Vehicles





Intelligent Transportation System


Meta Distribution

Path Loss

Road Safety

Traffic Efficiency





Urban Intersection


Mouhamed Abdulla

Chalmers, Signals and Systems, Communication, Antennas and Optical Networks

Henk Wymeersch

Chalmers, Signals and Systems, Communication, Antennas and Optical Networks

IEEE Global Communications Conference (GLOBECOM'17)

Vol. 2018-January 1-5
978-153863920-7 (ISBN)

2017 IEEE Global Telecommunications Conference, GC 2017
Marina Bay Sands Convention Centre, Singapore,

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Areas of Advance

Information and Communication Technology


Subject Categories

Communication Systems



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