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IS05: Channel Modeling for Dependable Vehicular Connectivity

Wednesday - 3:00-3:40pm - Room Bordeaux

Christoph F. Mecklenbräuker

TU Wien, Vienna, Austria

Christoph F. Mecklenbräuker received the Dipl.- Ing. degree in electrical engineering from TU Wien, Vienna, Austria, in 1992 and the Dr.-Ing. degree from Ruhr-University Bochum, Bochum, Germany, in 1998, both with distinction. He received the Gert-Massenberg Prize in 1998. From 1997 to 2000 he was with Siemens AG Österreich, Vienna. He was a delegate to the Third Generation Partnership Project (3GPP). From 2000 to 2006 was with the Telecommunications Research Center Vienna (FTW). In 2006 he joined the Faculty of Electrical Engineering and Information Technology as a Full Professor with TU Wien. During 2009-2016 he led the Christian Doppler Laboratory for Wireless Technologies for Sustainable Mobility. He has authored approximately 100 papers in international journals and conferences, and holds several patents. His research interests include vehicular connectivity, ultrawideband radio, and multiple-input multiple-output-techniques for wireless systems. He is a member of the IEEE Signal Processing, Antennas and Propagation, and Vehicular Technology Societies, as well as Association for Electrical, Electronic and Information Technologies e. V. (VDE) and European Association for Signal Processing (EURASIP).


Vehicles and other road users will be linked to each other and the road infrastructure to make traffic more efficient, cleaner, and safer. For example, Vehicle-To-Vehicle (V2V) and Vehicle-To-Infrastructure (V2I) communication enables cooperation and intelligent route management in transport networks. To achieve these ambitious goals, wireless links must become dependable : The information relevant for intelligent transport systems (ITS) shall be shared reliably within a tolerated latency.

Challenges for cooperative ITS are posed by the nonstationary time–frequency-selective fading processes in vehicular channels. Fortunately, the nonstationary vehicular fading may be characterized by assuming local stationarity for a finite region in the time-frequency plane. For such region, the wide-sense stationarity and uncorrelated scattering assumptions hold approximately. Thus, it makes sense to characterize the channel by a local scattering function (LSF). Estimates for the LSF from measurements collected in the DRIVEWAY’09 campaign are discussed focusing on ITS scenarios. Subsequently, the time–frequency-varying power delay profile (PDP) and the time–frequency-varying Doppler power spectral density (DSD) are discussed. Based on these, the time–frequency-varying delay and Doppler spreads are evaluated. High delay spreads are observed in situations with rich scattering, whereas high Doppler spreads characterize drive-by scenarios. These propagation-related channel characteristics translate into packet transmission error sequences exhibiting strong temporal dependencies. Finally, we discuss packet error models of low complexity for large-scale cooperative ITS emulation.

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