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.
Highlights
Vehicle-to-everything (V2X) communication can reduce the economic losses and increase the effectiveness of traffic by passing the information from a vehicle to any entity, i.e., vehicle-to-vehicle (V2V), vehicle-to-pedestrian (V2P), and vehicle-to-infrastructure (V2I)
It’s worth mentioning that the proposed model can be extended to multiple-input multiple-output (MIMO) channels, while this paper only focuses on single-input singleoutput (SISO) channels and their statistical properties
We model the AoAs and AoDs of NLoS path as αni,m(t) = αni (t) + αi where αni (t) and αi denote the mean angle and random angle offset at the mobile transmitter (MT) or mobile receiver (MR)
Summary
Vehicle-to-everything (V2X) communication can reduce the economic losses and increase the effectiveness of traffic by passing the information from a vehicle to any entity, i.e., vehicle-to-vehicle (V2V), vehicle-to-pedestrian (V2P), and vehicle-to-infrastructure (V2I). The efficiency and reliability of V2V communication systems are affected by the scattering environment such as crowded space, density of vehicles, time-variant velocities, movements of scatterers, and etc. The mobilities of both terminals and scatterers lead to the channel characteristic variations [5], [6], which make V2V channels different with the traditional fixed-to-mobile (F2M) channels [7]–[9]. The models in [14] and [15] assumed that the mobile transmitter (MT) and mobile receiver (MR) moved with a constant speed and direction, and the scatterers surrounding the terminals were fixed. The authors in [16] and [17] took the variant velocities of terminals into account but with fixed scatterers.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
