Performance analysis of dual-hop hybrid RF-UOWC NOMA systems

Samir, A., Elsayed, M., El-Banna, A. A. A., Ansari, I. S. , Rabie, K. and ElHalawany, B. M. (2022) Performance analysis of dual-hop hybrid RF-UOWC NOMA systems. Sensors, 22(12), 4521. (doi: 10.3390/s22124521) (PMID:35746302) (PMCID:PMC9228796)

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The hybrid combination between underwater optical wireless communication (UOWC) and radio frequency (RF) is a vital demand for enabling communication through the air-water boundary. On the other hand, non-orthogonal multiple access (NOMA) is a key technology for enhancing system performance in terms of spectral efficiency. In this paper, we propose a downlink NOMA-based dual-hop hybrid RF-UOWC with decode and forward (DF) relaying. The UOWC channels are characterized by exponential-generalized Gamma (EGG) fading, while the RF channel is characterized by Rayleigh fading. Exact closed-form expressions of outage probabilities and approximated closed-form expressions of ergodic capacities are derived, for each NOMA individual user and the overall system as well, under the practical assumption of imperfect successive interference cancellation (SIC). These expressions are then verified via Monte-Carlo simulation for various underwater scenarios. To gain more insight into the system performance, we analyzed the asymptotic outage probabilities and the diversity order. Moreover, we formulated and solved a power allocation optimization problem to obtain an outage-optimal performance. For the sake of comparison and to highlight the achievable gain, the system performance is compared against a benchmark orthogonal multiple access (OMA)-based system.

Item Type:Articles
Keywords:Outage probability, hybrid RF-UOWC, optimal power allocation, non-orthogonal multiple access, exponential-generalized Gamma.
Glasgow Author(s) Enlighten ID:Ansari, Dr Imran
Creator Roles:
Ansari, I. S.Funding acquisition, Supervision
Authors: Samir, A., Elsayed, M., El-Banna, A. A. A., Ansari, I. S., Rabie, K., and ElHalawany, B. M.
College/School:College of Science and Engineering > School of Engineering > Systems Power and Energy
Journal Name:Sensors
ISSN (Online):1424-8220
Published Online:15 June 2022
Copyright Holders:Copyright © 2022 The Authors
First Published:First published in Sensors 22(12): 4521
Publisher Policy:Reproduced under a Creative Commons License

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