Joint active and passive beamforming optimization for IRS-assisted downlink MISO-URLLC in max–min fairness.
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| Title: | Joint active and passive beamforming optimization for IRS-assisted downlink MISO-URLLC in max–min fairness. |
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| Authors: | Ye, Changqing1,2 (AUTHOR), Jiang, Hong1 (AUTHOR) hjiangpho@163.com, Xu, Hongliang1 (AUTHOR), Shi, Haoxin1 (AUTHOR), Deng, Liping1 (AUTHOR) |
| Source: | Wireless Networks (10220038). Apr2024, Vol. 30 Issue 3, p1479-1491. 13p. |
| Subjects: | Multiuser computer systems, Beamforming, Fairness, Computational complexity, Miso |
| Abstract: | In this paper, we propose a max–min fairness optimization scheme for a downlink multiuser multiple-input single-output (MISO) ultra-reliable and low-latency communication (URLLC) system assisted by an intelligence reflecting surface (IRS). In particular, we formulate a max–min fairness problem to jointly optimize the active beamforming vector at the base station (BS) and the passive beamforming vector at the IRS under the perfect channel state information (CSI). This problem is a non-convex optimization problem with highly coupled variables, making it challenging to obtain the global optimal solution. Subsequently, we propose a computationally-efficient iterative algorithm to obtain a suboptimal solution to this problem. In each iteration, we adopt methods such as the successive convex approximation (SCA) method, semi-positive definite relaxation (SDR) technology, and alternating optimization (AO) method to handle the internal optimization problem. Our simulation results reveal the following: (1) the proposed scheme provides a URLLC rate that is quite close to the Shannon rate, while also exhibiting low computational complexity; (2) the proposed scheme outperforms the random IRS scheme with a performance gain of up to 55%; (3) compare with conventional MISO systems without IRS, the proposed scheme offers a significant performance gain. [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.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 177625083 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Joint active and passive beamforming optimization for IRS-assisted downlink MISO-URLLC in max–min fairness. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ye%2C+Changqing%22">Ye, Changqing</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jiang%2C+Hong%22">Jiang, Hong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> hjiangpho@163.com</i><br /><searchLink fieldCode="AR" term="%22Xu%2C+Hongliang%22">Xu, Hongliang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Shi%2C+Haoxin%22">Shi, Haoxin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Deng%2C+Liping%22">Deng, Liping</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Wireless+Networks+%2810220038%29%22">Wireless Networks (10220038)</searchLink>. Apr2024, Vol. 30 Issue 3, p1479-1491. 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="%22Beamforming%22">Beamforming</searchLink><br /><searchLink fieldCode="DE" term="%22Fairness%22">Fairness</searchLink><br /><searchLink fieldCode="DE" term="%22Computational+complexity%22">Computational complexity</searchLink><br /><searchLink fieldCode="DE" term="%22Miso%22">Miso</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In this paper, we propose a max–min fairness optimization scheme for a downlink multiuser multiple-input single-output (MISO) ultra-reliable and low-latency communication (URLLC) system assisted by an intelligence reflecting surface (IRS). In particular, we formulate a max–min fairness problem to jointly optimize the active beamforming vector at the base station (BS) and the passive beamforming vector at the IRS under the perfect channel state information (CSI). This problem is a non-convex optimization problem with highly coupled variables, making it challenging to obtain the global optimal solution. Subsequently, we propose a computationally-efficient iterative algorithm to obtain a suboptimal solution to this problem. In each iteration, we adopt methods such as the successive convex approximation (SCA) method, semi-positive definite relaxation (SDR) technology, and alternating optimization (AO) method to handle the internal optimization problem. Our simulation results reveal the following: (1) the proposed scheme provides a URLLC rate that is quite close to the Shannon rate, while also exhibiting low computational complexity; (2) the proposed scheme outperforms the random IRS scheme with a performance gain of up to 55%; (3) compare with conventional MISO systems without IRS, the proposed scheme offers a significant performance gain. [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.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=177625083 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11276-023-03550-y Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 1479 Subjects: – SubjectFull: Multiuser computer systems Type: general – SubjectFull: Beamforming Type: general – SubjectFull: Fairness Type: general – SubjectFull: Computational complexity Type: general – SubjectFull: Miso Type: general Titles: – TitleFull: Joint active and passive beamforming optimization for IRS-assisted downlink MISO-URLLC in max–min fairness. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ye, Changqing – PersonEntity: Name: NameFull: Jiang, Hong – PersonEntity: Name: NameFull: Xu, Hongliang – PersonEntity: Name: NameFull: Shi, Haoxin – PersonEntity: Name: NameFull: Deng, Liping IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 10220038 Numbering: – Type: volume Value: 30 – Type: issue Value: 3 Titles: – TitleFull: Wireless Networks (10220038) Type: main |
| ResultId | 1 |
