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

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 <i>South China Sea</i>, we first establish a Longley–Rice-based channel model. Then, the weighted achievab...

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Autores principales:	Huanyu Li, Hui Li, Youling Zhou
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	offshore communications non-orthogonal multiple access power allocation maritime user allocation joint resource optimization Science Q Astrophysics QB460-466 Physics QC1-999
Acceso en línea:	https://doaj.org/article/ff5391bb0e04447b94a1d67a00a3a266
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spelling	oai:doaj.org-article:ff5391bb0e04447b94a1d67a00a3a2662021-11-25T17:29:47ZOptimization Algorithms for Joint Power and Sub-Channel Allocation for NOMA-Based Maritime Communications10.3390/e231114541099-4300https://doaj.org/article/ff5391bb0e04447b94a1d67a00a3a2662021-11-01T00:00:00Zhttps://www.mdpi.com/1099-4300/23/11/1454https://doaj.org/toc/1099-4300This paper investigates resource optimization schemes in a marine communication scenario based on non-orthogonal multiple access (NOMA). According to the offshore environment of the <i>South China Sea</i>, 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.Huanyu LiHui LiYouling ZhouMDPI AGarticleoffshore communicationsnon-orthogonal multiple accesspower allocationmaritime user allocationjoint resource optimizationScienceQAstrophysicsQB460-466PhysicsQC1-999ENEntropy, Vol 23, Iss 1454, p 1454 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	offshore communications non-orthogonal multiple access power allocation maritime user allocation joint resource optimization Science Q Astrophysics QB460-466 Physics QC1-999
spellingShingle	offshore communications non-orthogonal multiple access power allocation maritime user allocation joint resource optimization Science Q Astrophysics QB460-466 Physics QC1-999 Huanyu Li Hui Li Youling Zhou Optimization Algorithms for Joint Power and Sub-Channel Allocation for NOMA-Based Maritime Communications
description	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 <i>South China Sea</i>, 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.
format	article
author	Huanyu Li Hui Li Youling Zhou
author_facet	Huanyu Li Hui Li Youling Zhou
author_sort	Huanyu Li
title	Optimization Algorithms for Joint Power and Sub-Channel Allocation for NOMA-Based Maritime Communications
title_short	Optimization Algorithms for Joint Power and Sub-Channel Allocation for NOMA-Based Maritime Communications
title_full	Optimization Algorithms for Joint Power and Sub-Channel Allocation for NOMA-Based Maritime Communications
title_fullStr	Optimization Algorithms for Joint Power and Sub-Channel Allocation for NOMA-Based Maritime Communications
title_full_unstemmed	Optimization Algorithms for Joint Power and Sub-Channel Allocation for NOMA-Based Maritime Communications
title_sort	optimization algorithms for joint power and sub-channel allocation for noma-based maritime communications
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/ff5391bb0e04447b94a1d67a00a3a266
work_keys_str_mv	AT huanyuli optimizationalgorithmsforjointpowerandsubchannelallocationfornomabasedmaritimecommunications AT huili optimizationalgorithmsforjointpowerandsubchannelallocationfornomabasedmaritimecommunications AT youlingzhou optimizationalgorithmsforjointpowerandsubchannelallocationfornomabasedmaritimecommunications
_version_	1718412325363384320

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

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