PSO based power allocation in multiuser hybrid beamforming mmWave NOMA.
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| Title: | PSO based power allocation in multiuser hybrid beamforming mmWave NOMA. |
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| Authors: | Sumathi, S.1 (AUTHOR) ssumathi_me@yahoo.co.in, Ramesh, T. K.1 (AUTHOR), Ding, Zhiguo2,3 (AUTHOR) |
| Source: | Wireless Networks (10220038). Jul2023, Vol. 29 Issue 5, p2079-2091. 13p. |
| Subjects: | Multiuser computer systems, Time division multiple access, Beamforming, Particle swarm optimization, Millimeter waves, Energy consumption |
| Abstract: | Non-Orthogonal Multiple Access (NOMA) is one of the blooming technologies in 5G and beyond wireless networks to support a massive number of users with a huge data rate. In this work, we investigate a multiuser hybrid beamforming millimeter wave (mmWave) downlink NOMA system. Wideband mmWave line of sight (LOS) channel and non-line of sight (NLOS) channels are considered in this study. The first step of the multiuser power allocation problem is user clustering, where users are clustered based on their channel correlation and difference. Subsequently, low complex analog beamforming design and zero forcing digital beamforming design are employed. Finally, we formulate users' power allocation problem with the objectives of spectral efficiency maximization / energy efficiency maximization based on the constraints of users' quality of service requirements (QoS) and total available power. Existing research solves the non-convex problem by assuming equal power to all the clusters. Then the problem is decomposed into sub-problems and independently solved for each cluster, which increases the complexity. But, we propose a particle swarm optimization (PSO) based single step low complex algorithm, which achieves a faster convergence rate and grants consistent results. Moreover, the simulation results show that our proposed approach outperforms existing sub-optimal method and the conventional zero forcing time division multiple access scheme (ZF-TDMA). [ABSTRACT FROM AUTHOR] |
| Copyright of Wireless Networks (10220038) is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
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| Items | – Name: Title Label: Title Group: Ti Data: PSO based power allocation in multiuser hybrid beamforming mmWave NOMA. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Sumathi%2C+S%2E%22">Sumathi, S.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> ssumathi_me@yahoo.co.in</i><br /><searchLink fieldCode="AR" term="%22Ramesh%2C+T%2E+K%2E%22">Ramesh, T. K.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ding%2C+Zhiguo%22">Ding, Zhiguo</searchLink><relatesTo>2,3</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Wireless+Networks+%2810220038%29%22">Wireless Networks (10220038)</searchLink>. Jul2023, Vol. 29 Issue 5, p2079-2091. 13p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Multiuser+computer+systems%22">Multiuser computer systems</searchLink><br /><searchLink fieldCode="DE" term="%22Time+division+multiple+access%22">Time division multiple access</searchLink><br /><searchLink fieldCode="DE" term="%22Beamforming%22">Beamforming</searchLink><br /><searchLink fieldCode="DE" term="%22Particle+swarm+optimization%22">Particle swarm optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Millimeter+waves%22">Millimeter waves</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Non-Orthogonal Multiple Access (NOMA) is one of the blooming technologies in 5G and beyond wireless networks to support a massive number of users with a huge data rate. In this work, we investigate a multiuser hybrid beamforming millimeter wave (mmWave) downlink NOMA system. Wideband mmWave line of sight (LOS) channel and non-line of sight (NLOS) channels are considered in this study. The first step of the multiuser power allocation problem is user clustering, where users are clustered based on their channel correlation and difference. Subsequently, low complex analog beamforming design and zero forcing digital beamforming design are employed. Finally, we formulate users' power allocation problem with the objectives of spectral efficiency maximization / energy efficiency maximization based on the constraints of users' quality of service requirements (QoS) and total available power. Existing research solves the non-convex problem by assuming equal power to all the clusters. Then the problem is decomposed into sub-problems and independently solved for each cluster, which increases the complexity. But, we propose a particle swarm optimization (PSO) based single step low complex algorithm, which achieves a faster convergence rate and grants consistent results. Moreover, the simulation results show that our proposed approach outperforms existing sub-optimal method and the conventional zero forcing time division multiple access scheme (ZF-TDMA). [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Wireless Networks (10220038) is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11276-023-03264-1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 2079 Subjects: – SubjectFull: Multiuser computer systems Type: general – SubjectFull: Time division multiple access Type: general – SubjectFull: Beamforming Type: general – SubjectFull: Particle swarm optimization Type: general – SubjectFull: Millimeter waves Type: general – SubjectFull: Energy consumption Type: general Titles: – TitleFull: PSO based power allocation in multiuser hybrid beamforming mmWave NOMA. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sumathi, S. – PersonEntity: Name: NameFull: Ramesh, T. K. – PersonEntity: Name: NameFull: Ding, Zhiguo IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 10220038 Numbering: – Type: volume Value: 29 – Type: issue Value: 5 Titles: – TitleFull: Wireless Networks (10220038) Type: main |
| ResultId | 1 |
