Pervasive Wireless Channel Modeling Theory and Applications to 6G GBSMs for All Frequency Bands and All Scenarios

In this paper, a pervasive wireless channel modeling theory is first proposed, which uses a unified channel modeling method and a unified equation of channel impulse response (CIR), and can integrate important channel characteristics at different frequency bands and scenarios. Then, we apply the pro...

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Veröffentlicht in:IEEE transactions on vehicular technology Jg. 71; H. 9; S. 9159 - 9173
Hauptverfasser: Wang, Cheng-Xiang, Lv, Zhen, Gao, Xiqi, You, Xiaohu, Hao, Yang, Haas, Harald
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.09.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
6G mobile communication
6G pervasive channel model
Antenna arrays
Autonomous underwater vehicles
Band theory
Channel models
Frequencies
GBSM
Impulse response
Internet of Things
Mathematical models
MIMO communication
Modelling
Optical communication
Pervasive wireless channel modeling theory
Solid modeling
space-time-frequency non-stationarity
statistical properties
Stochastic models
Unmanned aerial vehicles
Wireless communication
Wireless communication systems
ISSN:0018-9545, 1939-9359
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Zusammenfassung:In this paper, a pervasive wireless channel modeling theory is first proposed, which uses a unified channel modeling method and a unified equation of channel impulse response (CIR), and can integrate important channel characteristics at different frequency bands and scenarios. Then, we apply the proposed theory to a three dimensional (3D) space-time-frequency (STF) non-stationary geometry-based stochastic model (GBSM) for the sixth generation (6G) wireless communication systems. The proposed 6G pervasive channel model (6GPCM) can characterize statistical properties of channels at all frequency bands from sub-6 GHz to visible light communication (VLC) bands and all scenarios such as unmanned aerial vehicle (UAV), maritime, (ultra-)massive multiple-input multiple-output (MIMO), reconfigurable intelligent surface (RIS), and industry Internet of things (IIoT) scenarios. By adjusting channel model parameters, the 6GPCM can be reduced to various simplified channel models for specific frequency bands and scenarios. Also, it includes standard fifth generation (5G) channel models as special cases. In addition, key statistical properties of the proposed 6GPCM are derived, simulated, and verified by various channel measurement results, which clearly demonstrates its accuracy, pervasiveness, and applicability.
Bibliographie:ObjectType-Article-1
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ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2022.3179695