Graph‐based stochastic model for high‐speed railway cutting scenarios-Reference-Cited by-同舟云学术

Graph‐based stochastic model for high‐speed railway cutting scenarios

Published:2015-12 Issue:15 Volume:9 Page:1691-1697
ISSN:1751-8733
Container-title:IET Microwaves, Antennas & Propagation
language:en
Short-container-title:IET Microwaves, Antennas & Propagation

Author:

Zhou Tao¹,Tao Cheng¹²,Salous Sana³,Tan Zhenhui¹,Liu Liu¹,Tian Li⁴

Affiliation:

1. Institute of Broadband Wireless Mobile CommunicationsBeijing Jiaotong UniversityBeijing100044People's Republic of China

2. National Mobile Communications Research LaboratorySoutheast UniversityNanjing210096People's Republic of China

3. School of Engineering and Computing SciencesDurham UniversityDurhamDH1 3LEUK

4. College of Electronics and Information EngineeringTongji UniversityShanghai200092People's Republic of China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Beijing Municipality

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-map.2014.0827

Reference26 articles.

1. Radio wave propagation scene partitioning for high‐speed rails;Ai B.;Int. J. Antennas Propag.,2012

2. Aikio P. Gruber R. Vainikainen P.: ‘Wideband radio channel measurements for train tunnels’.Proc. IEEE Vehicular Technology Conf. (VTC) Canada 1998 pp.460–464

3. Kyösti P.: ‘WINNER II channel models part II radio channel measurement and analysis results’ 2007

4. Propagation measurements and analysis for high-speed railway cutting scenario

5. An empirical path loss model and fading analysis for high‐speed railway viaduct scenarios;He R.S.;IEEE Antennas Wirel. Propag. Lett.,2011

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