Doppler Shift Characterization of Wideband Mobile Radio Channels

The prevailing approach for characterizing the Doppler shift (DS) of mobile radio channels assumes the transmission of an unmodulated carrier. This consideration is valid for the analysis of narrowband channels, but its pertinence is questionable in regards to the modeling of wideband channels. In this correspondence, we redefine the DS from a time-frequency analysis perspective that does not depend on the aforementioned assumption. We systematically demonstrate that the DS can be characterized by the instantaneous frequency of the channel transfer function. This generic definition makes evident a fundamental aspect of the DS that is seldom acknowledged, namely, the DS is a frequency-varying quantity. We show that the second-order statistics of wideband mobile radio channels are non-stationary due to the DS's frequency variations. In addition, we present numerical results of a case study showing that such non-stationarities can cause significant system performance degradations.

[1]  Gerhard Bauch,et al.  Doppler spectrum from moving scatterers in a random environment , 2009, IEEE Transactions on Wireless Communications.

[2]  Theodore S. Rappaport,et al.  Wireless communications - principles and practice , 1996 .

[3]  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.

[4]  Miaowen Wen,et al.  Channel Estimation Schemes for IEEE 802.11p Standard , 2013, IEEE Intelligent Transportation Systems Magazine.

[5]  Cheol Mun,et al.  Time and frequency domain channel estimation scheme for IEEE 802.11p , 2014, 17th International IEEE Conference on Intelligent Transportation Systems (ITSC).

[6]  Theodore S. Rappaport,et al.  Millimeter Wave Mobile Communications for 5G Cellular: It Will Work! , 2013, IEEE Access.

[7]  Joseph F. Ossanna,et al.  A model for mobile radio fading due to building reflections: Theoretical and experimental fading waveform power spectra , 1964 .

[8]  L. Freitag,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. IEEE JOURNAL OF OCEANIC ENGINEERING 1 Peer-Reviewed Technical Communication Multicarrier Communication Over Un , 2022 .

[9]  Theodore S. Rappaport,et al.  Wireless Communications: Principles and Practice (2nd Edition) by , 2012 .

[10]  Boualem Boashash,et al.  Estimating and interpreting the instantaneous frequency of a signal. II. A/lgorithms and applications , 1992, Proc. IEEE.

[11]  Y. Shmaliy Continuous-time systems , 2007 .

[12]  Armin Dammann,et al.  Time-Variant Doppler PDFs and Characteristic Functions for the Vehicle-to-Vehicle Channel , 2017, IEEE Transactions on Vehicular Technology.

[13]  P. Bello Characterization of Randomly Time-Variant Linear Channels , 1963 .

[14]  Cesar A. Azurdia-Meza,et al.  On the Influence of the non-WSSUS Condition in the Performance of IEEE 802.11-Based Channel Estimators for Vehicular Communications , 2018, 2018 IEEE 10th Latin-American Conference on Communications (LATINCOM).

[15]  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.

[16]  Matthias Pätzold,et al.  Modelling of Non-WSSUS Channels with Time-Variant Doppler and Delay Characteristics , 2018, 2018 IEEE Seventh International Conference on Communications and Electronics (ICCE).

[17]  F. Haber,et al.  A statistical model of mobile-to-mobile land communication channel , 1986, IEEE Transactions on Vehicular Technology.

[18]  Matthias Pätzold,et al.  Geometry-Based Statistical Modeling of Non-WSSUS Mobile-to-Mobile Rayleigh Fading Channels , 2018, IEEE Transactions on Vehicular Technology.

[19]  T. Aulin A modified model for the fading signal at a mobile radio channel , 1979, IEEE Transactions on Vehicular Technology.

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

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