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A Novel Segment-Based Model for Non-Stationary Vehicle-to-Vehicle Channels With Velocity Variations | IEEE Journals & Magazine | IEEE Xplore

A Novel Segment-Based Model for Non-Stationary Vehicle-to-Vehicle Channels With Velocity Variations


Non-stationary V2V channel model allowing for variation velocities and arbitrary trajectories of mobile transmitter (MT), mobile receiver (MR) and scatterers.

Abstract:

By considering the velocity variations of both terminals and moving scatterers, a general segment-based model for non-stationary vehicle-to-vehicle (V2V) channels is prop...Show More
Topic: 5G and Beyond Mobile Wireless Communications Enabling Intelligent Mobility

Abstract:

By considering the velocity variations of both terminals and moving scatterers, a general segment-based model for non-stationary vehicle-to-vehicle (V2V) channels is proposed in this paper. The time evolving channel parameters, i.e., Doppler frequencies, angles of arrival and departure, path delays, and path powers, are analyzed and simplified by the Taylor series expansions. The proposed model can be applied for realistic V2V communication environments and explicitly reveal the impact of velocity variations on the channels. In addition, the theoretical statistical properties, i.e., the temporal correlation function (TCF), Doppler power spectrum density (DPSD), level-crossing rate (LCR), and average fading duration (AFD) are also analyzed and derived. Simulation results under four typical V2V scenarios show that the theoretical results agree well with the simulated and measured ones, which verifies the effectiveness of both the proposed model and the derivations.
Topic: 5G and Beyond Mobile Wireless Communications Enabling Intelligent Mobility
Non-stationary V2V channel model allowing for variation velocities and arbitrary trajectories of mobile transmitter (MT), mobile receiver (MR) and scatterers.
Published in: IEEE Access ( Volume: 7)
Page(s): 133442 - 133451
Date of Publication: 12 September 2019
Electronic ISSN: 2169-3536

Funding Agency:


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