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A complete study of space-time-frequency statistical properties of the 6G pervasive channel model

Wang, Cheng-Xiang; Chen, Yunfei; Haas, Harald

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Authors

Cheng-Xiang Wang

Harald Haas



Abstract

The sixth generation (6G) pervasive channel model (6GPCM) can characterize channels for all spectra from the sub-6 GHz band to the visible light communication (VLC) band and all scenarios, such as maritime, (ultra-)massive multiple-input multiple-output (MIMO), and industrial Internet of things (IIoT) communication scenarios in 6G wireless systems. The unified channel model can enable us to analyze channel statistical properties in systems using different scales of antenna arrays, different frequency bands, and different scenarios with different movement speeds. In this paper, we conduct a complete study on space-time-frequency (STF) statistical properties of the 6GPCM. Mathematical derivations and simulations are provided, including STF correlation function (STFCF), spatial/temporal/frequency correlation functions, angular/ Doppler/delay power spectral densities (PSDs), root mean square (RMS) angular/Doppler/delay spreads, coherence distance/ time/bandwidth, stationary distance/time/bandwidth, and level-crossing rates (LCRs)/average fade durations (AFDs) in STF domains. In addition, we classify these statistical properties according to their definitions and then reveal the complex relationships between them and channel model parameters. This work will lay a solid foundation and offer useful guidelines for research on 6G wireless communication systems.

Citation

Wang, C.-X., Chen, Y., & Haas, H. (2023). A complete study of space-time-frequency statistical properties of the 6G pervasive channel model. IEEE Transactions on Communications, 71(12), 7273 - 7287. https://doi.org/10.1109/TCOMM.2023.3307144

Journal Article Type Article
Acceptance Date Aug 10, 2023
Online Publication Date Aug 21, 2023
Publication Date 2023-12
Deposit Date Aug 30, 2023
Publicly Available Date Sep 20, 2023
Journal IEEE Transactions on Communications
Print ISSN 0090-6778
Electronic ISSN 1558-0857
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 71
Issue 12
Pages 7273 - 7287
DOI https://doi.org/10.1109/TCOMM.2023.3307144
Public URL https://durham-repository.worktribe.com/output/1726411
Publisher URL http://ieeexplore.ieee.org/xpl/RecentIssue.jsp/?punumber=26

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Accepted Journal Article (1.2 Mb)
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Copyright Statement
© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.





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