Capacity Optimization for RSMA-Based Multi-User System over Underwater Turbulence Channel

The underwater environment used for communication is harsh and complex, necessitating heightened standards for spectral efficiency and reliability in underwater wireless optical communication (UWOC) systems. The focus of this work is on the performance of multi-user UWOC systems operating in oblique channels of ocean turbulence downlink, where users are randomly distributed at a certain depth. A joint optimization scheme is proposed, which joints rate-splitting multiple access (RSMA) and power allocation so that the system’s ergodic sum capacity is optimized to improve the transmission bandwidth. Furthermore, the probability density function (PDF) and cumulative distribution function (CDF) models for the received signal-to-noise ratio (SNR) of a multi-user multiple-input multiple-output (MIMO) system operating in the turbulent underwater oblique channels are established, accounting for the avalanche photodiode (APD) shot noise and solar radiation noise. Theoretical derivations are presented to quantify the ergodic capacity and outage probability of the multi-user system utilizing the RSMA technology. Subsequently, a numerical analysis is conducted to investigate the influence of the power allocation coefficient, RSMA, and the joint optimization algorithm on the performance of a two-user MIMO system leveraging RSMA. The simulation results show that our optimization scheme effectively reduces the outage probability, thereby achieving the maximum system sum rate and validating the practical feasibility and efficacy of the proposed scheme.

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Publication Details

Journal
Journal of Marine Science and Engineering
Published
2024-09-03
DOI
https://doi.org/10.3390/jmse12091526
Citations
1
Primary Topic
Optical Wireless Communication Technologies
Type
article
Field-Weighted Citation Impact
0.21

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article

Capacity Optimization for RSMA-Based Multi-User System over Underwater Turbulence Channel

Jianying Wang, Hongxi Yin
1 citations
Journal of Marine Science and Engineering
Optical Wireless Communication Technologies
0.21
article

Capacity Optimization for RSMA-Based Multi-User System over Underwater Turbulence Channel

Jianying Wang, Hongxi Yin
article en
1 citations

Abstract

The underwater environment used for communication is harsh and complex, necessitating heightened standards for spectral efficiency and reliability in underwater wireless optical communication (UWOC) systems. The focus of this work is on the performance of multi-user UWOC systems operating in oblique channels of ocean turbulence downlink, where users are randomly distributed at a certain depth. A joint optimization scheme is proposed, which joints rate-splitting multiple access (RSMA) and power allocation so that the system’s ergodic sum capacity is optimized to improve the transmission bandwidth. Furthermore, the probability density function (PDF) and cumulative distribution function (CDF) models for the received signal-to-noise ratio (SNR) of a multi-user multiple-input multiple-output (MIMO) system operating in the turbulent underwater oblique channels are established, accounting for the avalanche photodiode (APD) shot noise and solar radiation noise. Theoretical derivations are presented to quantify the ergodic capacity and outage probability of the multi-user system utilizing the RSMA technology. Subsequently, a numerical analysis is conducted to investigate the influence of the power allocation coefficient, RSMA, and the joint optimization algorithm on the performance of a two-user MIMO system leveraging RSMA. The simulation results show that our optimization scheme effectively reduces the outage probability, thereby achieving the maximum system sum rate and validating the practical feasibility and efficacy of the proposed scheme.

Journal of Marine Science and EngineeringVol. 12(9)
Dalian University of Technology (CN), Xinjiang University (CN)
National Natural Science Foundation of China
Life below water
Openalex Percentile: Top 49%
Optical Wireless Communication Technologies
0.21
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Capacity Optimization for RSMA-Based Multi-User System over Underwater Turbulence Channel — Jianying Wang, Hongxi Yin · Journal of Marine Science and Engineering (2024) | TGRS Research Map | TGRS