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Part 1: Document Description
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Citation |
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Title: |
Hybrid Scattering-Based Modeling and Performance Analysis of 6G Sub-THz Backhaul in Severe Dust Storms |
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Identification Number: |
doi:10.7910/DVN/YQ7AUR |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2026-04-05 |
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Version: |
1 |
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Bibliographic Citation: |
Al-barazanchi, Karrar Sameer Khudhair, 2026, "Hybrid Scattering-Based Modeling and Performance Analysis of 6G Sub-THz Backhaul in Severe Dust Storms", https://doi.org/10.7910/DVN/YQ7AUR, Harvard Dataverse, V1 |
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Citation |
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Title: |
Hybrid Scattering-Based Modeling and Performance Analysis of 6G Sub-THz Backhaul in Severe Dust Storms |
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Identification Number: |
doi:10.7910/DVN/YQ7AUR |
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Authoring Entity: |
Al-barazanchi, Karrar Sameer Khudhair |
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Producer: |
Al-barazanchi, Karrar Sameer Khudhair |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
Al-barazanchi, Karrar Sameer Khudhair |
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Depositor: |
Al-barazanchi, Karrar Sameer Khudhair |
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Date of Deposit: |
2026-04-04 |
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Holdings Information: |
https://doi.org/10.7910/DVN/YQ7AUR |
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Study Scope |
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Keywords: |
Engineering |
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Abstract: |
A hybrid electromagnetic scattering model implemented in Octave/MATLAB that computes dust-induced signal attenuation across the 90–300 GHz sub-terahertz band by integrating Rayleigh, Mie, and Anomalous Diffraction Theory within a Maxwell-Garnett dielectric mixing framework. The model evaluates end-to-end 6G link performance metrics, including SNR, capacity, BER, latency, and link margin across visibility conditions ranging from clear haze to severe desert dust storms. |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a> |
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Other Study Description Materials |
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Label: |
The_Model.m |
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Text: |
A hybrid electromagnetic scattering model implemented in Octave/MATLAB that computes dust-induced signal attenuation across the 90–300 GHz sub-terahertz band by integrating Rayleigh, Mie, and Anomalous Diffraction Theory within a Maxwell-Garnett dielectric mixing framework. The model evaluates end-to-end 6G link performance metrics, including SNR, capacity, BER, latency, and link margin across visibility conditions ranging from clear haze to severe desert dust storms. |
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Notes: |
text/plain |