A Non-Stationary 6G V2V Channel Model with Continuously Arbitrary Trajectory
(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:
https://lup.lub.lu.se/record/180aeb7d-a84f-4e80-986a-93ee7b8e5805
- author
- Huang, Ziwei ; Bai, Lu ; Cheng, Xiang ; Yin, Xuefeng ; Mogensen, Preben E. and Cai, Xuesong LU
- organization
- publishing date
- 2023
- 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}}, }