Capacity Analysis of NOMA-Enabled Underwater VLC Networks

Visible light communication (VLC) has recently emerged as an enabling technology for high capacity underwater wireless sensor networks. Non-orthogonal multiple access (NOMA) has been also proven capable of handling a massive number of sensor nodes while increasing the sum capacity. In this paper, we...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Mohammed Elamassie, Lina Bariah, Murat Uysal, Sami Muhaidat, Paschalis C. Sofotasios
Formato: article
Lenguaje:EN
Publicado: IEEE 2021
Materias:
Acceso en línea:https://doaj.org/article/0b4fda54238b4394b074a83e069e166a
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:0b4fda54238b4394b074a83e069e166a
record_format dspace
spelling oai:doaj.org-article:0b4fda54238b4394b074a83e069e166a2021-11-24T00:01:59ZCapacity Analysis of NOMA-Enabled Underwater VLC Networks2169-353610.1109/ACCESS.2021.3122399https://doaj.org/article/0b4fda54238b4394b074a83e069e166a2021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9585115/https://doaj.org/toc/2169-3536Visible light communication (VLC) has recently emerged as an enabling technology for high capacity underwater wireless sensor networks. Non-orthogonal multiple access (NOMA) has been also proven capable of handling a massive number of sensor nodes while increasing the sum capacity. In this paper, we consider a VLC-based underwater sensor network where a clusterhead communicates with several underwater sensor nodes based on NOMA. We derive a closed-form expression for the NOMA system capacity over underwater turbulence channels modeled by lognormal distribution. NOMA sum capacity in the absence of underwater optical turbulence is also considered as a benchmark. Our results reveal that the overall capacity of NOMA-enabled Underwater VLC networks is significantly affected by the propagation distance in underwater environments. As a result, effective wireless transmission at high and moderate spectral efficiency levels can be practically achieved in underwater environments only in the context of local area networks. Moreover, we compare the achievable capacity of NOMA system with its counterpart, i.e., orthogonal frequency division multiple access (OFDMA). Our results reveal that NOMA system is not only characterized by achieving higher sum capacity than the sum capacity of its counterpart, OFDMA system. It is also shown that the distances between sensor nodes and the clusterhead for achieving the highest sum capacity in these two multiple access systems are different.Mohammed ElamassieLina BariahMurat UysalSami MuhaidatPaschalis C. SofotasiosIEEEarticleSum capacityasymptotic sum capacitynon-orthogonal multiple accessorthogonal frequency division multiple accesslognormal fadingunderwater optical turbulenceElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 153305-153315 (2021)
institution DOAJ
collection DOAJ
language EN
topic Sum capacity
asymptotic sum capacity
non-orthogonal multiple access
orthogonal frequency division multiple access
lognormal fading
underwater optical turbulence
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
spellingShingle Sum capacity
asymptotic sum capacity
non-orthogonal multiple access
orthogonal frequency division multiple access
lognormal fading
underwater optical turbulence
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Mohammed Elamassie
Lina Bariah
Murat Uysal
Sami Muhaidat
Paschalis C. Sofotasios
Capacity Analysis of NOMA-Enabled Underwater VLC Networks
description Visible light communication (VLC) has recently emerged as an enabling technology for high capacity underwater wireless sensor networks. Non-orthogonal multiple access (NOMA) has been also proven capable of handling a massive number of sensor nodes while increasing the sum capacity. In this paper, we consider a VLC-based underwater sensor network where a clusterhead communicates with several underwater sensor nodes based on NOMA. We derive a closed-form expression for the NOMA system capacity over underwater turbulence channels modeled by lognormal distribution. NOMA sum capacity in the absence of underwater optical turbulence is also considered as a benchmark. Our results reveal that the overall capacity of NOMA-enabled Underwater VLC networks is significantly affected by the propagation distance in underwater environments. As a result, effective wireless transmission at high and moderate spectral efficiency levels can be practically achieved in underwater environments only in the context of local area networks. Moreover, we compare the achievable capacity of NOMA system with its counterpart, i.e., orthogonal frequency division multiple access (OFDMA). Our results reveal that NOMA system is not only characterized by achieving higher sum capacity than the sum capacity of its counterpart, OFDMA system. It is also shown that the distances between sensor nodes and the clusterhead for achieving the highest sum capacity in these two multiple access systems are different.
format article
author Mohammed Elamassie
Lina Bariah
Murat Uysal
Sami Muhaidat
Paschalis C. Sofotasios
author_facet Mohammed Elamassie
Lina Bariah
Murat Uysal
Sami Muhaidat
Paschalis C. Sofotasios
author_sort Mohammed Elamassie
title Capacity Analysis of NOMA-Enabled Underwater VLC Networks
title_short Capacity Analysis of NOMA-Enabled Underwater VLC Networks
title_full Capacity Analysis of NOMA-Enabled Underwater VLC Networks
title_fullStr Capacity Analysis of NOMA-Enabled Underwater VLC Networks
title_full_unstemmed Capacity Analysis of NOMA-Enabled Underwater VLC Networks
title_sort capacity analysis of noma-enabled underwater vlc networks
publisher IEEE
publishDate 2021
url https://doaj.org/article/0b4fda54238b4394b074a83e069e166a
work_keys_str_mv AT mohammedelamassie capacityanalysisofnomaenabledunderwatervlcnetworks
AT linabariah capacityanalysisofnomaenabledunderwatervlcnetworks
AT muratuysal capacityanalysisofnomaenabledunderwatervlcnetworks
AT samimuhaidat capacityanalysisofnomaenabledunderwatervlcnetworks
AT paschaliscsofotasios capacityanalysisofnomaenabledunderwatervlcnetworks
_version_ 1718416076210962432