Sensing-Efficient Transmit Beamforming for ISAC with MIMO Radar and MU-MIMO Communication.
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| Title: | Sensing-Efficient Transmit Beamforming for ISAC with MIMO Radar and MU-MIMO Communication. |
|---|---|
| Authors: | Liu, Huimin1 (AUTHOR) hmliu@mail.nwpu.edu.cn, Li, Yong1 (AUTHOR) ruikel@nwpu.edu.cn, Cheng, Wei1 (AUTHOR), Dong, Limeng1 (AUTHOR), Yan, Beiming1 (AUTHOR) |
| Source: | Remote Sensing. Aug2024, Vol. 16 Issue 16, p3028. 22p. |
| Subjects: | Transmitting antennas, Regularization parameter, Beamforming, Radar, Fairness |
| Abstract: | We focus on an integrated sensing and communication (ISAC) system—a single platform equipped with multiple antennas transmitting a waveform to detect targets and communicate with downlink users. Due to spectrum sharing between multiple-input–multiple-output (MIMO) radar and multiuser MIMO (MU-MIMO) communication, beamforming is becoming increasingly important as a technique that enables the creation of directional beams. In this paper, we propose a novel joint transmit beamforming design scheme that employs a beam pattern approximation strategy for radar sensing and utilizes rate-splitting for multiuser communication offering advanced interference management strategies. The optimization problems are formulated from both radar-centric and trade-off viewpoints. First, we propose a radar-centric beamforming scheme to achieve sensing efficiency through beam pattern approximation, while requiring the fairness signal-to-interference-plus-noise ratio (SINR) to be higher than a given threshold to guarantee a minimal level of communication quality, while the obtained performance for the communication system is limited in this scheme. To address this problem, we propose a beamforming design scheme from a trade-off viewpoint that flexibly optimizes both sensing and communication performances with a regularization parameter. Finally, we propose a partial rate-splitting-based beamforming design method aimed at maximizing the effective sensing power, with the constraint of a minimal sum rate for downlink users. Numerical results are provided to assess the effectiveness of all proposed schemes. [ABSTRACT FROM AUTHOR] |
| Copyright of Remote Sensing is the property of MDPI 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: 179355341 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Sensing-Efficient Transmit Beamforming for ISAC with MIMO Radar and MU-MIMO Communication. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Liu%2C+Huimin%22">Liu, Huimin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> hmliu@mail.nwpu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Li%2C+Yong%22">Li, Yong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> ruikel@nwpu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Cheng%2C+Wei%22">Cheng, Wei</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dong%2C+Limeng%22">Dong, Limeng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yan%2C+Beiming%22">Yan, Beiming</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Remote+Sensing%22">Remote Sensing</searchLink>. Aug2024, Vol. 16 Issue 16, p3028. 22p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Transmitting+antennas%22">Transmitting antennas</searchLink><br /><searchLink fieldCode="DE" term="%22Regularization+parameter%22">Regularization parameter</searchLink><br /><searchLink fieldCode="DE" term="%22Beamforming%22">Beamforming</searchLink><br /><searchLink fieldCode="DE" term="%22Radar%22">Radar</searchLink><br /><searchLink fieldCode="DE" term="%22Fairness%22">Fairness</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: We focus on an integrated sensing and communication (ISAC) system—a single platform equipped with multiple antennas transmitting a waveform to detect targets and communicate with downlink users. Due to spectrum sharing between multiple-input–multiple-output (MIMO) radar and multiuser MIMO (MU-MIMO) communication, beamforming is becoming increasingly important as a technique that enables the creation of directional beams. In this paper, we propose a novel joint transmit beamforming design scheme that employs a beam pattern approximation strategy for radar sensing and utilizes rate-splitting for multiuser communication offering advanced interference management strategies. The optimization problems are formulated from both radar-centric and trade-off viewpoints. First, we propose a radar-centric beamforming scheme to achieve sensing efficiency through beam pattern approximation, while requiring the fairness signal-to-interference-plus-noise ratio (SINR) to be higher than a given threshold to guarantee a minimal level of communication quality, while the obtained performance for the communication system is limited in this scheme. To address this problem, we propose a beamforming design scheme from a trade-off viewpoint that flexibly optimizes both sensing and communication performances with a regularization parameter. Finally, we propose a partial rate-splitting-based beamforming design method aimed at maximizing the effective sensing power, with the constraint of a minimal sum rate for downlink users. Numerical results are provided to assess the effectiveness of all proposed schemes. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Remote Sensing is the property of MDPI 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: 10.3390/rs16163028 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 3028 Subjects: – SubjectFull: Transmitting antennas Type: general – SubjectFull: Regularization parameter Type: general – SubjectFull: Beamforming Type: general – SubjectFull: Radar Type: general – SubjectFull: Fairness Type: general Titles: – TitleFull: Sensing-Efficient Transmit Beamforming for ISAC with MIMO Radar and MU-MIMO Communication. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Liu, Huimin – PersonEntity: Name: NameFull: Li, Yong – PersonEntity: Name: NameFull: Cheng, Wei – PersonEntity: Name: NameFull: Dong, Limeng – PersonEntity: Name: NameFull: Yan, Beiming IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 08 Text: Aug2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 20724292 Numbering: – Type: volume Value: 16 – Type: issue Value: 16 Titles: – TitleFull: Remote Sensing Type: main |
| ResultId | 1 |
