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Stochastic Modeling of THz Indoor Radio Channels

Priebe, Sebastian, Kurner, Thomas·2013·IEEE Transactions on Wireless Communications

Abstract

Providing the basis for fast system simulations and the adequate design of upcoming THz communication systems, a novel stochastic 300 GHz indoor channel model is introduced. It combines both the modeling in time as well as in frequency domain in order to account for the significant frequency dispersion of ultra broadband THz channels. Not only amplitude, phase and temporal, but also spatial channel information is considered. That way, MIMO systems as well as novel antenna concepts can be simulated. Verified and calibrated frequency domain ray tracing simulations in an office scenario provide the data basis for the derivation of model parameters. Model channel realizations are tested against ray tracing predictions and channel measurements. A complete scenario-specific parameter set is given for the considered environment, so that the model can be implemented for further use and future THz communication links can be designed under consideration of realistic propagation conditions.

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Metadata

Authors
Priebe, S., & Kurner, T.
Venue
IEEE Transactions on Wireless Communications
Published
2013-09
Volume
12
Issue
9
Pages
4445-4455
ISSN
1536-1276 (ISSN-L)
OpenAlex
W2104770042
Cited by
285
References
0
FWCI
5.59
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Stochastic Modeling of THz Indoor Radio Channels. https://app.cochat.ai/papers/10.1109/twc.2013.072313.121581
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Priebe, S., & Kurner, T. (2013). Stochastic Modeling of THz Indoor Radio Channels. IEEE Transactions on Wireless Communications. https://doi.org/10.1109/twc.2013.072313.121581

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.