4.4 Article

Generalized Modeling and Propagation Characterization of THz Wireless Links in Computer Desktop Environment

期刊

RADIO SCIENCE
卷 57, 期 4, 页码 -

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AMER GEOPHYSICAL UNION
DOI: 10.1029/2021RS007360

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资金

  1. NSF [1651273]

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This paper presents a study on the terahertz (THz) channel propagation characteristics and a generalized channel model for a desktop environment. It compares the path loss and power delay profiles (PDPs) measured in free space and a desktop-like metal cavity. A mean path loss model is proposed to characterize the large scale fading of the channel, and a Gamma-mixture model is applied for the shadowing. Cluster-based channel modeling is also used to characterize the multipath components.
In this paper presents terahertz (THz) channel propagation characterization and generalized channel model for a desktop environment. Path loss and power delay profiles (PDPs) measured on the motherboard in both free space and desktop-like metal cavity are compared. To characterize the large scale fading of the channel, a mean path loss model as a function of antenna height is proposed by treating the motherboard desktop environment as a partially dielectric filled resonant cavity. The measured and modeled mean path loss achieve 98.5% R-squared goodness of fit. For the shadowing, a Gamma-mixture model is applied to characterize the oscillations of in-cavity measured path loss. Results show that with proper choice of the number of mixed Gamma distributions k, the goodness of fit between the model and the probability density function (PDF) can be greater than 97%. Multipath components are characterized by cluster-based channel modeling. Modifications were made on the conventional Saleh-Valenzuela (S-V) model to accurately characterize the channel by rewriting the cluster power decay with step-wise functions and each sub-function is expressed exponentially in dB, and the ray power decay with power law approach. It is shown that measured and simulated multipath components match well with each other with at least 98.2% goodness of fit.

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