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Channel Characterization for RIS-aided Terahertz Communications: A Stochastic Approach

Thanh Luan Nguyen, Tri Nhu Do, Georges Kaddoum, Daniel Benevides da Costa, Zygmunt J. Haas

Abstract

In this paper, we propose novel channel models for (i) stochastic Terahertz (THz) communications and (ii) reconfigurable intelligent surface (RIS)-aided THz systems. Considering a spherical network with stochastic relative distances between nodes, we derive an exact distribution for the direct link; using the method of moments, we prove that the cascaded channel can be precisely characterized by α-μ distribution. The obtained channel models are used to evaluate the system’s performance in terms of outage probability. We show that by using a massive number of reflecting elements, the cascaded link outperforms the direct THz link.

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Bibtex

If you find that our research is interesting and our code is helpful, please cite our paper. Thank you!

@article{NguyenTHz2022,
	author = {Nguyen, Thanh Luan and Do, Tri Nhu and Kaddoum, Georges and da Costa, D. B. and Haas, Zygmunt},
	title = {Channel {C}haracterization for {RIS}-aided {T}erahertz {C}ommunications: {A} {S}tochastic {A}pproach},
	journal = {IEEE},
	year = {2022},
}

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