Joint Spectrum and Power Allocation for NOMA Enhanced Relaying Networks

In this paper, we investigate the joint resource allocation for the non-orthogonal multiple access (NOMA)-enhanced relaying networks involving the subcarrier pair, subcarrier-user assignment, as well as power allocation. In the NOMA-enhanced relaying networks, the relay is capable of communicating w...

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Autores principales: Qiang Wang, Feng Zhao
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Lenguaje:EN
Publicado: IEEE 2019
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Acceso en línea:https://doaj.org/article/3aa327407a864dd5b9de8058ca2bc1c0
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spelling oai:doaj.org-article:3aa327407a864dd5b9de8058ca2bc1c02021-11-19T00:02:34ZJoint Spectrum and Power Allocation for NOMA Enhanced Relaying Networks2169-353610.1109/ACCESS.2019.2900225https://doaj.org/article/3aa327407a864dd5b9de8058ca2bc1c02019-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/8654611/https://doaj.org/toc/2169-3536In this paper, we investigate the joint resource allocation for the non-orthogonal multiple access (NOMA)-enhanced relaying networks involving the subcarrier pair, subcarrier-user assignment, as well as power allocation. In the NOMA-enhanced relaying networks, the relay is capable of communicating with multiple users on one subcarrier using the NOMA technology. To maximize the system throughput, the joint resource allocation problem is formulated as a mixed-integer nonlinear programming problem, which is difficult to tackle in general. Furthermore, there is strong coupling between the subcarrier-user assignment and the power allocation due to the multi-user interference in the NOMA system. To reduce the complexity, we separate the joint resource allocation problem as two subproblems in terms of the subcarrier assignment (subcarrier pair and subcarrier-user assignment) and power allocation, respectively. In particular, we propose a subcarrier assignment scheme based on the simulated annealing algorithm to optimize the subcarrier pair and subcarrier-user assignment with the fixed power allocation. Then, the power allocation problem is transformed as a difference of convex functions programming problem, and the sequence convex programming method is adopted to solve it. The simulation results illustrate that the proposed algorithm can effectively improve the system throughput.Qiang WangFeng ZhaoIEEEarticleNOMAspectrum allocationpower allocationrelaying systemElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 7, Pp 27008-27016 (2019)
institution DOAJ
collection DOAJ
language EN
topic NOMA
spectrum allocation
power allocation
relaying system
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
spellingShingle NOMA
spectrum allocation
power allocation
relaying system
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Qiang Wang
Feng Zhao
Joint Spectrum and Power Allocation for NOMA Enhanced Relaying Networks
description In this paper, we investigate the joint resource allocation for the non-orthogonal multiple access (NOMA)-enhanced relaying networks involving the subcarrier pair, subcarrier-user assignment, as well as power allocation. In the NOMA-enhanced relaying networks, the relay is capable of communicating with multiple users on one subcarrier using the NOMA technology. To maximize the system throughput, the joint resource allocation problem is formulated as a mixed-integer nonlinear programming problem, which is difficult to tackle in general. Furthermore, there is strong coupling between the subcarrier-user assignment and the power allocation due to the multi-user interference in the NOMA system. To reduce the complexity, we separate the joint resource allocation problem as two subproblems in terms of the subcarrier assignment (subcarrier pair and subcarrier-user assignment) and power allocation, respectively. In particular, we propose a subcarrier assignment scheme based on the simulated annealing algorithm to optimize the subcarrier pair and subcarrier-user assignment with the fixed power allocation. Then, the power allocation problem is transformed as a difference of convex functions programming problem, and the sequence convex programming method is adopted to solve it. The simulation results illustrate that the proposed algorithm can effectively improve the system throughput.
format article
author Qiang Wang
Feng Zhao
author_facet Qiang Wang
Feng Zhao
author_sort Qiang Wang
title Joint Spectrum and Power Allocation for NOMA Enhanced Relaying Networks
title_short Joint Spectrum and Power Allocation for NOMA Enhanced Relaying Networks
title_full Joint Spectrum and Power Allocation for NOMA Enhanced Relaying Networks
title_fullStr Joint Spectrum and Power Allocation for NOMA Enhanced Relaying Networks
title_full_unstemmed Joint Spectrum and Power Allocation for NOMA Enhanced Relaying Networks
title_sort joint spectrum and power allocation for noma enhanced relaying networks
publisher IEEE
publishDate 2019
url https://doaj.org/article/3aa327407a864dd5b9de8058ca2bc1c0
work_keys_str_mv AT qiangwang jointspectrumandpowerallocationfornomaenhancedrelayingnetworks
AT fengzhao jointspectrumandpowerallocationfornomaenhancedrelayingnetworks
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