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Outage performance analysis of vertical underwater VLC links

İsim Outage performance analysis of vertical underwater VLC links
Yazar Elamassie, Mohammed, Uysal, Murat
Basım Tarihi: 2022
Basım Yeri - IEEE
Konu Asymptotic diversity order, Diversity order, Outage probability, Turbulence, Underwater visible light communications
Tür Belge
Dil İngilizce
Dijital Evet
Yazma Hayır
Kütüphane: Özyeğin Üniversitesi
Demirbaş Numarası 978-166545092-8
Kayıt Numarası 814caef9-c008-4216-b22b-9214f6af3c9a
Lokasyon Electrical & Electronics Engineering
Tarih 2022
Örnek Metin In this paper, we investigate the outage performance of vertical stratified underwater optical links in the presence of moderate/strong turbulence conditions. Specifically, we consider the cascaded Gamma-Gamma turbulence channel model and derive a closed-form expression for outage probability. We then use our derived expression to investigate the achievable diversity order (DO) and asymptotic diversity order (ADO). We further confirm our derivations through Monte Carlo simulations.
DOI 10.1109/SIU55565.2022.9864736
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Outage performance analysis of vertical underwater VLC links

Yazar Elamassie, Mohammed, Uysal, Murat
Basım Tarihi 2022
Basım Yeri - IEEE
Konu Asymptotic diversity order, Diversity order, Outage probability, Turbulence, Underwater visible light communications
Tür Belge
Dil İngilizce
Dijital Evet
Yazma Hayır
Kütüphane Özyeğin Üniversitesi
Demirbaş Numarası 978-166545092-8
Kayıt Numarası 814caef9-c008-4216-b22b-9214f6af3c9a
Lokasyon Electrical & Electronics Engineering
Tarih 2022
Örnek Metin In this paper, we investigate the outage performance of vertical stratified underwater optical links in the presence of moderate/strong turbulence conditions. Specifically, we consider the cascaded Gamma-Gamma turbulence channel model and derive a closed-form expression for outage probability. We then use our derived expression to investigate the achievable diversity order (DO) and asymptotic diversity order (ADO). We further confirm our derivations through Monte Carlo simulations.
DOI 10.1109/SIU55565.2022.9864736
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