Beamforming for NOMA Under Similar Channel Conditions Including Near-Field Formulation

Non-Orthogonal Multiple Access (NOMA) has emerged as a promising strategy for increasing spectral efficiency in wireless multiuser communications. The performance of NOMA highly depends on the users’ channel conditions, being enhanced when these are significantly different, i.e., one stro...

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Main Authors: Alvaro Pendas-Recondo, Rafael Gonzalez Ayestaran, Jesus Alberto Lopez-Fernandez
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10177152/
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author Alvaro Pendas-Recondo
Rafael Gonzalez Ayestaran
Jesus Alberto Lopez-Fernandez
author_facet Alvaro Pendas-Recondo
Rafael Gonzalez Ayestaran
Jesus Alberto Lopez-Fernandez
author_sort Alvaro Pendas-Recondo
collection DOAJ
description Non-Orthogonal Multiple Access (NOMA) has emerged as a promising strategy for increasing spectral efficiency in wireless multiuser communications. The performance of NOMA highly depends on the users’ channel conditions, being enhanced when these are significantly different, i.e., one strong user and one weak user. On the contrary, rate fairness is compromised when users present similar channel conditions since the maximization of the sum capacity may result in the allocation of most resources to one user. In general, this problem can be avoided with correct user grouping. However, there are scenarios, e.g., picocells or femtocells, where finding users with distinctive channel conditions is not always possible. In this paper, we study the application of beamforming in a two-user Multiple-Input-Single-Output (MISO) downlink NOMA system to achieve rate fairness through channel shaping even when the conditions of both users are similar. The proposed formulation includes the effect of Near-Field (NF) radiation, which yields an accurate modeling of the problem at hand in a small-cell scenario. We use an optimization algorithm to jointly calculate both the power allocation and the complex weights to be applied to the elements of a given array. Numerical simulations across scenarios with distinctive or similar channel conditions show that the proposed approach outperforms alternative NOMA methods in ensuring rate fairness. Additionally, it yields improved overall rates compared to Far-Field (FF) formulation-based modelling and beamforming Time Division Multiple Access (TDMA) solutions.
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spelling doaj.art-e925efd0a503465aa939057e95befc9d2023-07-19T23:00:48ZengIEEEIEEE Access2169-35362023-01-0111712507125910.1109/ACCESS.2023.329348910177152Beamforming for NOMA Under Similar Channel Conditions Including Near-Field FormulationAlvaro Pendas-Recondo0https://orcid.org/0000-0002-8029-8024Rafael Gonzalez Ayestaran1https://orcid.org/0000-0002-9775-9448Jesus Alberto Lopez-Fernandez2https://orcid.org/0000-0001-7603-9591Department of Electrical Engineering, Group of Signal Theory and Communications, University of Oviedo, Gijón, SpainDepartment of Electrical Engineering, Group of Signal Theory and Communications, University of Oviedo, Gijón, SpainDepartment of Electrical Engineering, Group of Signal Theory and Communications, University of Oviedo, Gijón, SpainNon-Orthogonal Multiple Access (NOMA) has emerged as a promising strategy for increasing spectral efficiency in wireless multiuser communications. The performance of NOMA highly depends on the users’ channel conditions, being enhanced when these are significantly different, i.e., one strong user and one weak user. On the contrary, rate fairness is compromised when users present similar channel conditions since the maximization of the sum capacity may result in the allocation of most resources to one user. In general, this problem can be avoided with correct user grouping. However, there are scenarios, e.g., picocells or femtocells, where finding users with distinctive channel conditions is not always possible. In this paper, we study the application of beamforming in a two-user Multiple-Input-Single-Output (MISO) downlink NOMA system to achieve rate fairness through channel shaping even when the conditions of both users are similar. The proposed formulation includes the effect of Near-Field (NF) radiation, which yields an accurate modeling of the problem at hand in a small-cell scenario. We use an optimization algorithm to jointly calculate both the power allocation and the complex weights to be applied to the elements of a given array. Numerical simulations across scenarios with distinctive or similar channel conditions show that the proposed approach outperforms alternative NOMA methods in ensuring rate fairness. Additionally, it yields improved overall rates compared to Far-Field (FF) formulation-based modelling and beamforming Time Division Multiple Access (TDMA) solutions.https://ieeexplore.ieee.org/document/10177152/Beamformingmultiple-input-single-output (MISO)near-field (NF)non-orthogonal multiple access (NOMA)power allocationrate fairness
spellingShingle Alvaro Pendas-Recondo
Rafael Gonzalez Ayestaran
Jesus Alberto Lopez-Fernandez
Beamforming for NOMA Under Similar Channel Conditions Including Near-Field Formulation
IEEE Access
Beamforming
multiple-input-single-output (MISO)
near-field (NF)
non-orthogonal multiple access (NOMA)
power allocation
rate fairness
title Beamforming for NOMA Under Similar Channel Conditions Including Near-Field Formulation
title_full Beamforming for NOMA Under Similar Channel Conditions Including Near-Field Formulation
title_fullStr Beamforming for NOMA Under Similar Channel Conditions Including Near-Field Formulation
title_full_unstemmed Beamforming for NOMA Under Similar Channel Conditions Including Near-Field Formulation
title_short Beamforming for NOMA Under Similar Channel Conditions Including Near-Field Formulation
title_sort beamforming for noma under similar channel conditions including near field formulation
topic Beamforming
multiple-input-single-output (MISO)
near-field (NF)
non-orthogonal multiple access (NOMA)
power allocation
rate fairness
url https://ieeexplore.ieee.org/document/10177152/
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AT rafaelgonzalezayestaran beamformingfornomaundersimilarchannelconditionsincludingnearfieldformulation
AT jesusalbertolopezfernandez beamformingfornomaundersimilarchannelconditionsincludingnearfieldformulation