Non-Stationarity Characterization and Geometry-Cluster-Based Stochastic Model for High-Speed Train Radio Channels-Reference-Cited by-同舟云学术

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Non-Stationarity Characterization and Geometry-Cluster-Based Stochastic Model for High-Speed Train Radio Channels

Published:2023-07 Issue:7 Volume:24 Page:7122-7137
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Zhang Yan¹^ORCID,Zhang Kaien¹,Ghazal Ammar²^ORCID,Zhang Wancheng¹^ORCID,Ji Zijie³^ORCID,Xiao Limin⁴

Affiliation:

1. School of Information and Electronics, Beijing Institute of Technology, Beijing, China

2. Faculty of Computing Engineering and Media, De Montfort University, Leicester, U.K.

3. Institute of Telecommunication and Navigation Satellite, China Academy of Space Technology, Beijing, China

4. Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/10175858/10078433.pdf?arnumber=10078433

Reference62 articles.

1. Definition and Analysis of Quasi-Stationary Intervals of Mobile Radio Channels - Invited Paper

2. High-resolution channel parameter estimation for MIMO applications using the SAGE algorithm

3. A General 3D Space-Time-Frequency Non-Stationary Model for 6G Channels

4. Channel parameter estimation in mobile radio environments using the SAGE algorithm

5. Characterization of Quasi-Stationarity Regions for Vehicle-to-Vehicle Radio Channels

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Path Loss and Shadowing for UAV-to-Ground UWB Channels Incorporating the Effects of Built-Up Areas and Airframe;IEEE Transactions on Intelligent Transportation Systems;2024

2. A 3D Non-Stationary Small-Scale Fading Model for 5G High-Speed Train Massive MIMO Channels;IEEE Transactions on Intelligent Transportation Systems;2024

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