Geometry-Based Statistical Modeling of Non-WSSUS Mobile-to-Mobile Rayleigh Fading Channels

In this paper, we present a novel geometry-based statistical model for small-scale non-wide-sense stationary uncorrelated scattering (non-WSSUS) mobile-to-mobile (M2M) Rayleigh fading channels. The proposed model builds on the principles of plane wave propagation to capture the temporal evolution of the propagation delay and Doppler shift of the received multipath signal. This is different from existing non-WSSUS geometry-based statistical channel models, which are based on a spherical wave propagation approach, that in spite of being more realistic is more mathematically intricate. By considering an arbitrary geometrical configuration of the propagation area, we derive general expressions for the most important statistical quantities of nonstationary channels, such as the first-order probability density functions of the envelope and phase, the four-dimensional (4-D) time-frequency correlation function (TF-CF), local scattering function (LSF), and time-frequency-dependent delay and Doppler profiles. We also present an approximate closed-form expression of the channel's 4-D TF-CF for the particular case of the geometrical one-ring scattering model. The obtained results provide new theoretical insights into the correlation and spectral properties of non-WSSUS M2M Rayleigh fading channels.

[1]  W. C. Jakes,et al.  Microwave Mobile Communications , 1974 .

[2]  Frode Bøhagen,et al.  On spherical vs. plane wave modeling of line-of-sight MIMO channels , 2009, IEEE Transactions on Communications.

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

[4]  Fredrik Tufvesson,et al.  The (in-) validity of the WSSUS assumption in vehicular radio channels , 2012, 2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC).

[5]  Joerg F. Hipp,et al.  Time-Frequency Analysis , 2014, Encyclopedia of Computational Neuroscience.

[6]  Daniel U. Campos-Delgado,et al.  First-order statistics analysis of two new geometrical models for non-WSSUS mobile-to-mobile channels , 2016, 2016 IEEE 12th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob).

[7]  Gordon L. Stüber,et al.  Wideband MIMO Mobile-to-Mobile Channels: Geometry-Based Statistical Modeling With Experimental Verification , 2009, IEEE Transactions on Vehicular Technology.

[8]  Carlos A. Gutiérrez-Díaz-de-León,et al.  A Non-WSSUS Mobile-to-Mobile Channel Model Assuming Velocity Variations of the Mobile Stations , 2017, 2017 IEEE Wireless Communications and Networking Conference (WCNC).

[9]  Boualem Boashash,et al.  Time-Frequency Signal Analysis and Processing: A Comprehensive Reference , 2015 .

[10]  Daniel U. Campos-Delgado,et al.  Modeling of Non-WSSUS Double-Rayleigh Fading Channels for Vehicular Communications , 2017, Wirel. Commun. Mob. Comput..

[11]  Ali Abdi,et al.  A space-time correlation model for multielement antenna systems in mobile fading channels , 2002, IEEE J. Sel. Areas Commun..

[12]  Matthias Pätzold,et al.  Correlation and Spectral Properties of Vehicle-to-Vehicle Channels in the Presence of Moving Scatterers , 2013, IEEE Transactions on Vehicular Technology.

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

[14]  Antonio Iera,et al.  LTE for vehicular networking: a survey , 2013, IEEE Communications Magazine.

[15]  Ali Abdi,et al.  A parametric model for the distribution of the angle of arrival and the associated correlation function and power spectrum at the mobile station , 2002, IEEE Trans. Veh. Technol..

[16]  R. Clarke A statistical theory of mobile-radio reception , 1968 .

[17]  Athanasios Papoulis,et al.  Probability, Random Variables and Stochastic Processes , 1965 .

[18]  Daniel T. Fokum,et al.  A Survey on Methods for Broadband Internet Access on Trains , 2010, IEEE Communications Surveys & Tutorials.

[19]  Fredrik Tufvesson,et al.  A geometry-based stochastic MIMO model for vehicle-to-vehicle communications , 2009, IEEE Transactions on Wireless Communications.

[20]  Fredrik Tufvesson,et al.  Delay and Doppler Spreads of Nonstationary Vehicular Channels for Safety-Relevant Scenarios , 2013, IEEE Transactions on Vehicular Technology.

[21]  Carlos A. Gutiérrez-Díaz-de-León,et al.  Classes of sum-of-cisoids processes and their statistics for the modeling and simulation of mobile fading channels , 2013, EURASIP J. Wirel. Commun. Netw..

[22]  John B. Kenney,et al.  Dedicated Short-Range Communications (DSRC) Standards in the United States , 2011, Proceedings of the IEEE.

[23]  D. Shutin,et al.  Delay-Dependent Doppler Probability Density Functions for Vehicle-to-Vehicle Scatter Channels , 2014, IEEE Transactions on Antennas and Propagation.

[24]  Xiang Cheng,et al.  Wideband Channel Modeling and Intercarrier Interference Cancellation for Vehicle-to-Vehicle Communication Systems , 2013, IEEE Journal on Selected Areas in Communications.

[25]  Bernard H. Fleury,et al.  Non-Stationary Propagation Model for Scattering Volumes With an Application to the Rural LMS Channel , 2013, IEEE Transactions on Antennas and Propagation.

[26]  D. Rajan Probability, Random Variables, and Stochastic Processes , 2017 .

[27]  Thomas G. Pratt,et al.  A three-dimensional geometry-based statistical model of 2×2 dual-polarized MIMO mobile-to-mobile wideband channels , 2012 .

[28]  Matti Latva-aho,et al.  Vehicle-to-vehicle radio channel characterization in urban environment at 2.3 GHz and 5.25 GHz , 2014, 2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC).

[29]  Matthias Pätzold,et al.  Modeling, analysis, and simulation of MIMO mobile-to-mobile fading channels , 2008, IEEE Transactions on Wireless Communications.

[30]  Khaled H. Hamed,et al.  Time-frequency analysis , 2003 .

[31]  Taoka Hidekazu,et al.  Scenarios for 5G mobile and wireless communications: the vision of the METIS project , 2014, IEEE Communications Magazine.

[32]  B. Ai,et al.  Characterization of Quasi-Stationarity Regions for Vehicle-to-Vehicle Radio Channels , 2015, IEEE Transactions on Antennas and Propagation.

[33]  Matthias Pätzold,et al.  A Non-Stationary Mobile-to-Mobile Channel Model Allowing for Velocity and Trajectory Variations of the Mobile Stations , 2017, IEEE Transactions on Wireless Communications.

[34]  Roy D. Yates,et al.  Probability and stochastic processes : a friendly introduction for electrical and computer engineers , 1999 .