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Article

Optimization Algorithms for Joint Power and Sub-Channel Allocation for NOMA-Based Maritime Communications

by 1,2, 1,2,* and 1
1
Department of Information and Communication Engineering, Hainan University, Haikou 570228, China
2
Department of Electronic Information Engineering, Binjiang College of UNIST, Wuxi 214105, China
*
Author to whom correspondence should be addressed.
Academic Editors: Benjamin M. Zaidel and Ori Shental
Received: 10 September 2021 / Revised: 28 September 2021 / Accepted: 28 October 2021 / Published: 1 November 2021
This paper investigates resource optimization schemes in a marine communication scenario based on non-orthogonal multiple access (NOMA). According to the offshore environment of the South China Sea, we first establish a Longley–Rice-based channel model. Then, the weighted achievable rate (WAR) is considered as the optimization objective to weigh the information rate and user fairness effectively. Our work introduces an improved joint power and user allocation scheme (RBPUA) based on a single resource block. Taking RBPUA as a basic module, we propose three joint multi-subchannel power and marine user allocation algorithms. The gradient descent algorithm (GRAD) is used as the reference standard for WAR optimization. The multi-choice knapsack algorithm combined with dynamic programming (MCKP-DP) obtains a WAR optimization result almost equal to that of GRAD. These two NOMA-based solutions are able to improve WAR performance by 7.47% compared with OMA. Due to the high computational complexity of the MCKP-DP, we further propose a DP-based fully polynomial-time approximation algorithm (DP-FPTA). The simulation results show that DP-FPTA can reduce the complexity by 84.3% while achieving an approximate optimized performance of 99.55%. This advantage of realizing the trade-off between performance optimization and complexity meets the requirements of practical low-latency systems. View Full-Text
Keywords: offshore communications; non-orthogonal multiple access; power allocation; maritime user allocation; joint resource optimization offshore communications; non-orthogonal multiple access; power allocation; maritime user allocation; joint resource optimization
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MDPI and ACS Style

Li, H.; Li, H.; Zhou, Y. Optimization Algorithms for Joint Power and Sub-Channel Allocation for NOMA-Based Maritime Communications. Entropy 2021, 23, 1454. https://0-doi-org.brum.beds.ac.uk/10.3390/e23111454

AMA Style

Li H, Li H, Zhou Y. Optimization Algorithms for Joint Power and Sub-Channel Allocation for NOMA-Based Maritime Communications. Entropy. 2021; 23(11):1454. https://0-doi-org.brum.beds.ac.uk/10.3390/e23111454

Chicago/Turabian Style

Li, Huanyu, Hui Li, and Youling Zhou. 2021. "Optimization Algorithms for Joint Power and Sub-Channel Allocation for NOMA-Based Maritime Communications" Entropy 23, no. 11: 1454. https://0-doi-org.brum.beds.ac.uk/10.3390/e23111454

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