A 3D geometry-based stochastic channel model for UAV-MIMO channels

Linzhou Zeng, Xiang Cheng, Cheng-Xiang Wang, Xuefeng Yin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

44 Citations (Scopus)

Abstract

Unmanned Aerial Vehicles (UAVs) have been a promising platform in realizing high-speed wireless networks. As an emerging scenario, the UAV communication is distinct from widely used cellular systems or vehicular networks, requiring the development of practical yet easy-to-use channel models. In this paper, for the first time we introduce the geometry-based stochastic model (GBSM) to UAV channel modeling, and propose a new three- dimensional (3D) GBSM for UAV Multi-Input Multi- Output (UAV-MIMO) channels. Based on the proposed model, we derive and investigate the space-time correlation function (STCF) under a 3D moving and scattering environment. The usefulness of this model is verified by the comparison between the theoretical results and some measurement data.

Original languageEnglish
Title of host publication2017 IEEE Wireless Communications and Networking Conference (WCNC)
PublisherIEEE
ISBN (Electronic)9781509041831
DOIs
Publication statusPublished - 11 May 2017
Event2017 IEEE Wireless Communications and Networking Conference - San Francisco, CA, USA, San Francisco, United States
Duration: 19 Mar 201722 Mar 2017

Publication series

NameIEEE Wireless Communications and Networking Conference
PublisherIEEE
ISSN (Print)1558-2612

Conference

Conference2017 IEEE Wireless Communications and Networking Conference
Abbreviated titleWCNC 2017
CountryUnited States
CitySan Francisco
Period19/03/1722/03/17

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Zeng, L., Cheng, X., Wang, C-X., & Yin, X. (2017). A 3D geometry-based stochastic channel model for UAV-MIMO channels. In 2017 IEEE Wireless Communications and Networking Conference (WCNC) [7925794] (IEEE Wireless Communications and Networking Conference). IEEE. https://doi.org/10.1109/WCNC.2017.7925794