Delay and Doppler Spreads of Nonstationary Vehicular Channels for Safety-Relevant Scenarios

Vehicular communication channels are characterized by a nonstationary time-frequency-selective fading process due to rapid changes in the environment. The nonstationary fading process can be characterized by assuming local stationarity for a region with finite extent in time and frequency. For this finite region, the wide-sense stationarity and uncorrelated scattering assumption approximately holds, and we are able to calculate a time-frequency-dependent local scattering function (LSF). In this paper, we estimate the LSF from a large set of measurements collected in the DRIVEWAY'09 measurement campaign, which focuses on scenarios for intelligent transportation systems (ITSs). We then obtain the time-frequency-varying power delay profile (PDP) and the time-frequency-varying Doppler power spectral density (DSD) from the LSF. Based on the PDP and the DSD, we analyze the time-frequency-varying root-mean-square (RMS) delay spread and the RMS Doppler spread. We show that the distribution of these channel parameters follows a bimodal Gaussian mixture distribution. High RMS delay spread values are observed in situations with rich scattering, whereas high RMS Doppler spreads are obtained in drive-by scenarios.

[1]  Andreas F. Molisch,et al.  Condensed Parameters for Characterizing Wideband Mobile Radio Channels , 1999, Int. J. Wirel. Inf. Networks.

[2]  P. Deb Finite Mixture Models , 2008 .

[3]  Thomas Kurner,et al.  Deterministic and stochastic channel models implemented in a physical layer simulator for Car-to-X communications , 2011 .

[4]  Claude Oestges,et al.  Wideband MIMO Car-to-Car Radio Channel Measurements at 5.3 GHz , 2008, 2008 IEEE 68th Vehicular Technology Conference.

[5]  Gerald Matz,et al.  Wireless Communications Over Rapidly Time-Varying Channels , 2011 .

[6]  A. Kortke,et al.  Pathloss and Multipath Power Decay of the Wideband Car-to-Car Channel at 5.7 GHz , 2011, 2011 IEEE 73rd Vehicular Technology Conference (VTC Spring).

[7]  F. Tufvesson,et al.  Car-to-car radio channel measurements at 5 GHz: Pathloss, power-delay profile, and delay-Doppler spectrum , 2007, 2007 4th International Symposium on Wireless Communication Systems.

[8]  Fredrik Tufvesson,et al.  A survey on vehicle-to-vehicle propagation channels , 2009, IEEE Wireless Communications.

[9]  Jia-Chin Lin,et al.  Performance evaluations of channel estimations in IEEE 802.11p environments , 2009, ICUMT.

[10]  Pavle Belanovic,et al.  Physical Layer Simulation Results for IEEE 802.11p Using Vehicular Non-Stationary Channel Model , 2010, 2010 IEEE International Conference on Communications Workshops.

[11]  Siti Zaiton Mohd Hashim,et al.  Time-scale domain characterization of nonstationary wideband vehicle-to-vehicle propagation channel , 2010, 2010 IEEE Asia-Pacific Conference on Applied Electromagnetics (APACE).

[12]  Geoffrey J. McLachlan,et al.  Finite Mixture Models , 2019, Annual Review of Statistics and Its Application.

[13]  Wanbin Tang,et al.  Measurement and Analysis of Wireless Channel Impairments in DSRC Vehicular Communications , 2008, 2008 IEEE International Conference on Communications.

[14]  B. V. K. Vijaya Kumar,et al.  Performance of the 802.11p Physical Layer in Vehicle-to-Vehicle Environments , 2012, IEEE Transactions on Vehicular Technology.

[15]  Mary Ann Ingram,et al.  Measured joint Doppler-delay power profiles for vehicle-to-vehicle communications at 2.4 GHz , 2004, IEEE Global Telecommunications Conference, 2004. GLOBECOM '04..

[16]  Jürgen Kunisch,et al.  Wideband Car-to-Car Radio Channel Measurements and Model at 5.9 GHz , 2008, 2008 IEEE 68th Vehicular Technology Conference.

[17]  Fredrik Tufvesson,et al.  Path Loss Modeling for Vehicle-to-Vehicle Communications , 2011, IEEE Transactions on Vehicular Technology.

[18]  P. Besnier,et al.  Physical layer performance analysis of V2V communications in high velocity context , 2009, 2009 9th International Conference on Intelligent Transport Systems Telecommunications, (ITST).

[19]  Fredrik Tufvesson,et al.  Non-WSSUS vehicular channel characterization in highway and urban scenarios at 5.2GHz using the local scattering function , 2008, 2008 International ITG Workshop on Smart Antennas.

[20]  Angelos Amditis,et al.  Simulation-based performance analysis and improvement of orthogonal frequency division multiplexing - 802.11p system for vehicular communications , 2009 .

[21]  David W. Matolak,et al.  Vehicle–Vehicle Channel Models for the 5-GHz Band , 2008, IEEE Transactions on Intelligent Transportation Systems.

[22]  Claude Oestges,et al.  Non-Stationary Narrowband MIMO Inter-Vehicle Channel Characterization in the 5-GHz Band , 2010, IEEE Transactions on Vehicular Technology.

[23]  Werner Wiesbeck,et al.  Narrow-band measurement and analysis of the inter-vehicle transmission channel at 5.2 GHz , 2002, Vehicular Technology Conference. IEEE 55th Vehicular Technology Conference. VTC Spring 2002 (Cat. No.02CH37367).

[24]  Andreas F. Molisch,et al.  Iterative Time-Variant Channel Estimation for 802.11p Using Generalized Discrete Prolate Spheroidal Sequences , 2012, IEEE Transactions on Vehicular Technology.

[25]  Johan Karedal,et al.  Overview of Vehicle-to-Vehicle Radio Channel Measurements for Collision Avoidance Applications , 2010, 2010 IEEE 71st Vehicular Technology Conference.

[26]  G. Matz,et al.  On non-WSSUS wireless fading channels , 2005, IEEE Transactions on Wireless Communications.

[27]  D. Slepian Prolate spheroidal wave functions, fourier analysis, and uncertainty — V: the discrete case , 1978, The Bell System Technical Journal.

[28]  Gerald Matz Doubly underspread non-WSSUS channels: analysis and estimation of channel statistics , 2003, 2003 4th IEEE Workshop on Signal Processing Advances in Wireless Communications - SPAWC 2003 (IEEE Cat. No.03EX689).

[29]  F. Massey The Kolmogorov-Smirnov Test for Goodness of Fit , 1951 .

[30]  Tricia J. Willink,et al.  Wide-Sense Stationarity of Mobile MIMO Radio Channels , 2008, IEEE Transactions on Vehicular Technology.

[31]  Gerd Sommerkorn,et al.  Identification of time-variant directional mobile radio channels , 2000, IEEE Trans. Instrum. Meas..

[32]  Johan Karedal,et al.  In-situ vehicular antenna integration and design aspects for vehicle-to-vehicle communications , 2010, Proceedings of the Fourth European Conference on Antennas and Propagation.

[33]  Andreas F. Molisch,et al.  Adaptive Reduced-Rank Estimation of Nonstationary Time-Variant Channels Using Subspace Selection , 2012, IEEE Transactions on Vehicular Technology.

[34]  Matthias Pätzold,et al.  A Non-Stationary MIMO Vehicle-to-Vehicle Channel Model Derived from the Geometrical Street Model , 2011, 2011 IEEE Vehicular Technology Conference (VTC Fall).

[35]  Bernard H. Fleury,et al.  An uncertainty relation for WSS processes and its application to WSSUS systems , 1996, IEEE Trans. Commun..

[36]  Thomas Zwick,et al.  IEEE 802.11p based physical layer simulator for Car-to-Car communication , 2011, Proceedings of the 5th European Conference on Antennas and Propagation (EUCAP).

[37]  Fredrik Tufvesson,et al.  This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. INVITED PAPER Vehicular Channel Characterization and Its Implications for Wireless System Design and Performan , 2022 .

[38]  D. Thomson,et al.  Spectrum estimation and harmonic analysis , 1982, Proceedings of the IEEE.

[39]  T. Zemen,et al.  Non-WSSUS Vehicular Channel Characterization at 5.2 GHz - Spectral Divergence and Time-Variant Coherence Parameters , 2008 .

[40]  A. Walden,et al.  Spectral analysis for physical applications : multitaper and conventional univariate techniques , 1996 .

[41]  Fredrik Tufvesson,et al.  In-Tunnel Vehicular Radio Channel Characterization , 2011, 2011 IEEE 73rd Vehicular Technology Conference (VTC Spring).