6G Wireless Channel Measurements and Models: Trends and Challenges
In this article, the authors present their vision of the application scenarios, performance metrics, and potential key technologies of 6G wireless communication networks. The authors then comprehensively survey 6G wireless channel measurements, characteristics, and models for all frequency bands and all scenarios, focusing on millimeter-wave (mm-wave), terahertz, and optical wireless communication channels under all spectra; satellite, unmanned aerial vehicle (UAV), maritime, and underwater acoustic communication channels under global coverage scenarios; and high-speed train (HST), vehicle-to-vehicle (V2V), ultra-massive multiple-input, multiple-output (MIMO), orbital angular momentum (OAM), and industry Internet of Things (IoT) communication channels under full application scenarios. The authors also provide future research challenges of 6G channel measurements, a general standard 6G channel model framework, and models for intelligent reflection surface (IRS)-based 6G technologies and artificial intelligence (AI)-enabled channel measurements and models.
- Record URL:
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/15566072
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Authors:
- Wang, Cheng-Xiang
- Huang, Jie
- Wang, Haiming
- Gao, Xiqi
- You, Xiaohu
- Hao, Yang
- Publication Date: 2020-12
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 22-32
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Serial:
- IEEE Vehicular Technology Magazine
- Volume: 15
- Issue Number: 4
- Publisher: Institute of Electrical and Electronics Engineers (IEEE)
- ISSN: 1556-6072
- Serial URL: http://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=34840
Subject/Index Terms
- TRT Terms: Artificial intelligence; Drones; Forecasting; High speed rail; Internet of things; Metrics (Quantitative assessment); Vehicle to vehicle communications; Wireless communication systems
- Subject Areas: Aviation; Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting; Railroads; Vehicles and Equipment;
Filing Info
- Accession Number: 01760900
- Record Type: Publication
- Files: TRIS
- Created Date: Dec 22 2020 9:34AM