A Novel Low-Complexity Precoding Algorithm for MIMO Cognitive Radio Systems.
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| Title: | A Novel Low-Complexity Precoding Algorithm for MIMO Cognitive Radio Systems. |
|---|---|
| Authors: | Wang, Kun1, Zhang, Baoyuan2, Wang, Xiyuan3, Dai, Linglong4 |
| Source: | Wireless Personal Communications. Dec2017, Vol. 97 Issue 4, p5077-5088. 12p. |
| Subjects: | MIMO systems, Performance of MIMO systems, Cognitive radio, Algorithms, Transmitters (Communication) |
| Abstract: | This paper proposes a novel efficient precoding algorithm to maximize the rate of the cognitive link, where a pair of multiple-input multiple-output cognitive radio users shares the spectrum allocated to multiple primary users as long as the interference power is acceptable. In our method, the precoding vectors are firstly obtained by solving an unconstrained convex problem which is formulated by using the penalty function idea and has a closed-form solution. Then, power is allocated to different precoding vectors to satisfy both the transmit-power constraint and interference-power constraints through interior method. Moreover, an effective set of the penalty weights is presented. Our method has much lower complexity than the optimal solution and similar complexity to other low-complexity methods. Simulation results show that our method significantly outperforms the existing low-complexity methods and has almost the same performance as the optimal solution. [ABSTRACT FROM AUTHOR] |
| Copyright of Wireless Personal Communications 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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| Items | – Name: Title Label: Title Group: Ti Data: A Novel Low-Complexity Precoding Algorithm for MIMO Cognitive Radio Systems. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Wang%2C+Kun%22">Wang, Kun</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Baoyuan%22">Zhang, Baoyuan</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Wang%2C+Xiyuan%22">Wang, Xiyuan</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Dai%2C+Linglong%22">Dai, Linglong</searchLink><relatesTo>4</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Wireless+Personal+Communications%22">Wireless Personal Communications</searchLink>. Dec2017, Vol. 97 Issue 4, p5077-5088. 12p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22MIMO+systems%22">MIMO systems</searchLink><br /><searchLink fieldCode="DE" term="%22Performance+of+MIMO+systems%22">Performance of MIMO systems</searchLink><br /><searchLink fieldCode="DE" term="%22Cognitive+radio%22">Cognitive radio</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Transmitters+%28Communication%29%22">Transmitters (Communication)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper proposes a novel efficient precoding algorithm to maximize the rate of the cognitive link, where a pair of multiple-input multiple-output cognitive radio users shares the spectrum allocated to multiple primary users as long as the interference power is acceptable. In our method, the precoding vectors are firstly obtained by solving an unconstrained convex problem which is formulated by using the penalty function idea and has a closed-form solution. Then, power is allocated to different precoding vectors to satisfy both the transmit-power constraint and interference-power constraints through interior method. Moreover, an effective set of the penalty weights is presented. Our method has much lower complexity than the optimal solution and similar complexity to other low-complexity methods. Simulation results show that our method significantly outperforms the existing low-complexity methods and has almost the same performance as the optimal solution. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Wireless Personal Communications 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/s11277-017-4766-2 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 5077 Subjects: – SubjectFull: MIMO systems Type: general – SubjectFull: Performance of MIMO systems Type: general – SubjectFull: Cognitive radio Type: general – SubjectFull: Algorithms Type: general – SubjectFull: Transmitters (Communication) Type: general Titles: – TitleFull: A Novel Low-Complexity Precoding Algorithm for MIMO Cognitive Radio Systems. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wang, Kun – PersonEntity: Name: NameFull: Zhang, Baoyuan – PersonEntity: Name: NameFull: Wang, Xiyuan – PersonEntity: Name: NameFull: Dai, Linglong IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 12 Text: Dec2017 Type: published Y: 2017 Identifiers: – Type: issn-print Value: 09296212 Numbering: – Type: volume Value: 97 – Type: issue Value: 4 Titles: – TitleFull: Wireless Personal Communications Type: main |
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