Performance modelling and analysis for vehicle‐to‐anything connectivity in representative high‐interference channels. Issue 13 (30th September 2019)

• Record Type: Journal Article
• Authors: Blazek, Thomas; Ghiaasi, Golsa; Backfrieder, Christian; Ostermayer, Gerald; Mecklenbräuker, Christoph F.
• Is Part Of: IET microwaves, antennas & propagation. Volume 13:Issue 13(2019)
• Page Start: 2216
• Page End: 2223
• Publication Date: 2019-09-30
• Subjects: vehicular ad hoc networks -- mobile radio -- traffic engineering computing -- wireless channels -- wireless LAN -- telecommunication traffic -- software radio -- radiofrequency interference -- road traffic; signal‐to‐interference ratio -- urban traffic conditions -- vehicle‐to‐anything connectivity -- high‐interference channels -- vehicular communications -- single link -- multiple interacting vehicles -- repeatable vehicular scenarios -- authors propose -- performance analysis -- IEEE 802.11p standard -- urban interference channels -- network simulations -- Software Defined Radio setup -- communication performance measurements -- worst‐case interference scenario -- urban traffic jam -- vehicular traffic flow simulations -- communication network -- communication nodes -- channel emulators -- emulate urban channels -- packet level performance; Microwaves -- Periodicals; Microwave antennas -- Periodicals; Antennas (Electronics) -- Periodicals; Radio wave propagation -- Periodicals; Microwave communication systems -- Periodicals; 621.381305
• DOI: 10.1049/iet-map.2018.6183
• Languages: English
• ISSNs: 1751-8725

Abstract

Abstract : All too often, the performance of vehicular communications is benchmarked merely for a single link. A major challenge for benchmarking the performance of multiple interacting vehicles is the definition of repeatable vehicular scenarios. In this study, the authors propose and discuss an approach for performance analysis of the IEEE 802.11p standard in urban interference channels, by linking network simulations to a Software Defined Radio (SDR) setup. This approach provides communication performance measurements in the worst‐case interference scenario caused by an urban traffic jam. They do this by starting out with vehicular traffic flow simulations and continue to model the medium access. They furthermore introduce an algorithm to reduce the complexity of the communication network while retaining its properties. Finally, they use a setup of SDR encompassing the communication nodes and channel emulators that emulate urban channels to measure the packet level performance as a function of signal‐to‐interference ratio and distance to a receiver under urban traffic conditions.