Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

A Non-Stationary 6G V2V Channel Model with Continuously Arbitrary Trajectory

Huang, Ziwei ; Bai, Lu ; Cheng, Xiang ; Yin, Xuefeng ; Mogensen, Preben E. and Cai, Xuesong LU (2023) In IEEE Transactions on Vehicular Technology 72(1). p.4-19
Abstract
In this paper, a novel three-dimensional (3D) massive multiple-input multiple-output (MIMO) millimeter wave (mmWave) geometry-based stochastic model (GBSM) is proposed for sixth-generation (6G) vehicle-to-vehicle (V2V) channels. In the proposed GBSM, clusters in the environment are divided into static clusters and dynamic clusters. Furthermore, the time-variant acceleration together with the integration of time during the transmission distance update are exploited. As a result, the continuously arbitrary trajectory of the transceiver and dynamic clusters is successfully captured. To jointly model space-time-frequency (S-T-F) non-stationarity of 6G V2V channels, a new method, which properly integrates the frequency-dependent factor,... (More)
In this paper, a novel three-dimensional (3D) massive multiple-input multiple-output (MIMO) millimeter wave (mmWave) geometry-based stochastic model (GBSM) is proposed for sixth-generation (6G) vehicle-to-vehicle (V2V) channels. In the proposed GBSM, clusters in the environment are divided into static clusters and dynamic clusters. Furthermore, the time-variant acceleration together with the integration of time during the transmission distance update are exploited. As a result, the continuously arbitrary trajectory of the transceiver and dynamic clusters is successfully captured. To jointly model space-time-frequency (S-T-F) non-stationarity of 6G V2V channels, a new method, which properly integrates the frequency-dependent factor, birth-death (BD) process, and selective evolution of static and dynamic clusters, is developed. Key channel statistics, including the space-time-frequency correlation function (STF-CF), time stationary interval, and Doppler power spectral density (DPSD) are obtained. Simulation results demonstrate that S-T-F non-stationarity is modeled and the impacts of vehicular traffic density (VTD) and vehicular movement trajectory (VMT) on channel statistics are further analyzed thoroughly. Finally, the generality and accuracy of the proposed GBSM are validated through the comparison of simulation results and available measurement data. (Less)
Please use this url to cite or link to this publication:
author
; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
IEEE Transactions on Vehicular Technology
volume
72
issue
1
pages
4 - 19
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:85137572482
ISSN
0018-9545
DOI
10.1109/TVT.2022.3203229
language
English
LU publication?
yes
id
180aeb7d-a84f-4e80-986a-93ee7b8e5805
date added to LUP
2022-10-03 17:03:52
date last changed
2023-10-26 14:57:17
@article{180aeb7d-a84f-4e80-986a-93ee7b8e5805,
  abstract     = {{In this paper, a novel three-dimensional (3D) massive multiple-input multiple-output (MIMO) millimeter wave (mmWave) geometry-based stochastic model (GBSM) is proposed for sixth-generation (6G) vehicle-to-vehicle (V2V) channels. In the proposed GBSM, clusters in the environment are divided into static clusters and dynamic clusters. Furthermore, the time-variant acceleration together with the integration of time during the transmission distance update are exploited. As a result, the continuously arbitrary trajectory of the transceiver and dynamic clusters is successfully captured. To jointly model space-time-frequency (S-T-F) non-stationarity of 6G V2V channels, a new method, which properly integrates the frequency-dependent factor, birth-death (BD) process, and selective evolution of static and dynamic clusters, is developed. Key channel statistics, including the space-time-frequency correlation function (STF-CF), time stationary interval, and Doppler power spectral density (DPSD) are obtained. Simulation results demonstrate that S-T-F non-stationarity is modeled and the impacts of vehicular traffic density (VTD) and vehicular movement trajectory (VMT) on channel statistics are further analyzed thoroughly. Finally, the generality and accuracy of the proposed GBSM are validated through the comparison of simulation results and available measurement data.}},
  author       = {{Huang, Ziwei and Bai, Lu and Cheng, Xiang and Yin, Xuefeng and Mogensen, Preben E. and Cai, Xuesong}},
  issn         = {{0018-9545}},
  language     = {{eng}},
  number       = {{1}},
  pages        = {{4--19}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{IEEE Transactions on Vehicular Technology}},
  title        = {{A Non-Stationary 6G V2V Channel Model with Continuously Arbitrary Trajectory}},
  url          = {{http://dx.doi.org/10.1109/TVT.2022.3203229}},
  doi          = {{10.1109/TVT.2022.3203229}},
  volume       = {{72}},
  year         = {{2023}},
}