Fading characterization of 73 GHz millimeter-wave V2V channel based on real measurements
(2018) 13th International Workshop on Communication Technologies for Vehicles, Nets4Cars/Nets4Trains/Nets4Aircraft 2018 In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 10796. p.159-168- Abstract
In this work, a recently conducted measurement campaign for millimeter wave (mm-wave) vehicle to vehicle (V2V) propagation channel characterization is introduced. Two vehicles carrying a transmitter (Tx) and a receiver (Rx) respectively were driven towards each other at an average speed of 60 km/h in an urban area of Jiading District, Shanghai, China. The measurement was conducted with 409.6 MHz bandwidth at center frequency 73 GHz. The parameters investigated include the large-scale fading and small-scale fading coefficients. Specifically, a 2-slope path-loss model was proposed. Six kinds of distributions of analytical expressions were used to fit the fast fading distribution. The results show that the fast fading distribution changes... (More)
In this work, a recently conducted measurement campaign for millimeter wave (mm-wave) vehicle to vehicle (V2V) propagation channel characterization is introduced. Two vehicles carrying a transmitter (Tx) and a receiver (Rx) respectively were driven towards each other at an average speed of 60 km/h in an urban area of Jiading District, Shanghai, China. The measurement was conducted with 409.6 MHz bandwidth at center frequency 73 GHz. The parameters investigated include the large-scale fading and small-scale fading coefficients. Specifically, a 2-slope path-loss model was proposed. Six kinds of distributions of analytical expressions were used to fit the fast fading distribution. The results show that the fast fading distribution changes from Rician to Nakagami, finally to lognormal with the distance between the Tx and the Rx increases.
(Less)
- author
- Wang, Hui ; Yin, Xuefeng ; Cai, Xuesong LU ; Wang, Haowen ; Yu, Ziming and Lee, Juyul
- publishing date
- 2018
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Channel fading characterization, Channel measurement, Millimeter-wave, Vehicle to vehicle communication
- host publication
- Communication Technologies for Vehicles : 13th International Workshop, Nets4Cars/Nets4Trains/Nets4Aircraft 2018, Proceedings - 13th International Workshop, Nets4Cars/Nets4Trains/Nets4Aircraft 2018, Proceedings
- series title
- Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
- editor
- Berbineau, Marion ; Moreno Garcia-Loygorri, Juan ; Perez-Yuste, Antonio ; Briso, Cesar ; Mendizabal, Jaizki and Pirovano, Alain
- volume
- 10796
- pages
- 10 pages
- publisher
- Springer
- conference name
- 13th International Workshop on Communication Technologies for Vehicles, Nets4Cars/Nets4Trains/Nets4Aircraft 2018
- conference location
- Madrid, Spain
- conference dates
- 2018-05-17 - 2018-05-18
- external identifiers
-
- scopus:85046801813
- ISSN
- 0302-9743
- 1611-3349
- ISBN
- 9783319903705
- DOI
- 10.1007/978-3-319-90371-2_16
- language
- English
- LU publication?
- no
- additional info
- Funding Information: Acknowledgment. The authors wish to express their thanks to Mr. Jianguo Xie, Mr. Kai Tu and Mr. Jingxiang Hong for conducting the measurement. This work was jointly supported by National Natural Science Foundation of China (NSFC) (Grant No. 61471268), the Key Project “5G Ka frequency bands and higher and lower frequency band cooperative trail system research and development” under Grant 2016ZX03001015 of China Ministry of Industry and Information Technology, the HongKong, Macao and Taiwan Science & Technology Cooperation Program of China under Grant 2014DFT10290, and Institute for Information & communications Technology Promotion (IITP) grant funded by the Korean government (MSIT) [“Development of time-space based spectrum engineering technologies for the preemptive using of frequency”]. Publisher Copyright: © 2018, Springer International Publishing AG, part of Springer Nature.
- id
- 5c972c33-5a1f-46f4-a9e8-a09db3cb737f
- date added to LUP
- 2021-11-22 22:47:46
- date last changed
- 2024-04-06 13:54:42
@inproceedings{5c972c33-5a1f-46f4-a9e8-a09db3cb737f,
abstract = {{<p>In this work, a recently conducted measurement campaign for millimeter wave (mm-wave) vehicle to vehicle (V2V) propagation channel characterization is introduced. Two vehicles carrying a transmitter (Tx) and a receiver (Rx) respectively were driven towards each other at an average speed of 60 km/h in an urban area of Jiading District, Shanghai, China. The measurement was conducted with 409.6 MHz bandwidth at center frequency 73 GHz. The parameters investigated include the large-scale fading and small-scale fading coefficients. Specifically, a 2-slope path-loss model was proposed. Six kinds of distributions of analytical expressions were used to fit the fast fading distribution. The results show that the fast fading distribution changes from Rician to Nakagami, finally to lognormal with the distance between the Tx and the Rx increases.</p>}},
author = {{Wang, Hui and Yin, Xuefeng and Cai, Xuesong and Wang, Haowen and Yu, Ziming and Lee, Juyul}},
booktitle = {{Communication Technologies for Vehicles : 13th International Workshop, Nets4Cars/Nets4Trains/Nets4Aircraft 2018, Proceedings}},
editor = {{Berbineau, Marion and Moreno Garcia-Loygorri, Juan and Perez-Yuste, Antonio and Briso, Cesar and Mendizabal, Jaizki and Pirovano, Alain}},
isbn = {{9783319903705}},
issn = {{0302-9743}},
keywords = {{Channel fading characterization; Channel measurement; Millimeter-wave; Vehicle to vehicle communication}},
language = {{eng}},
pages = {{159--168}},
publisher = {{Springer}},
series = {{Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}},
title = {{Fading characterization of 73 GHz millimeter-wave V2V channel based on real measurements}},
url = {{http://dx.doi.org/10.1007/978-3-319-90371-2_16}},
doi = {{10.1007/978-3-319-90371-2_16}},
volume = {{10796}},
year = {{2018}},
}