On the joint design of active and reflective beamforming for IRS-assisted integrated sensing and communication system.
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| Title: | On the joint design of active and reflective beamforming for IRS-assisted integrated sensing and communication system. |
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| Authors: | Ahmed, Irfan1 (AUTHOR) iahmed3@hct.ac.ae, Awawdeh, Moath1 (AUTHOR) mawawdeh@hct.ac.ae, Faisal, Tarig1 (AUTHOR) tfaisal@hct.ac.ae |
| Source: | EURASIP Journal on Wireless Communications & Networking. 4/9/2026, Vol. 2026 Issue 1, p1-31. 31p. |
| Subjects: | Beamforming, Semidefinite programming, Wireless communications, Millimeter waves, Bandwidths, Reinforcement learning, MIMO systems |
| Abstract: | This paper presents the design of an intelligent reflective surface (IRS)-assisted integrated sensing and communication (ISAC) system in a millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) environment. The ISAC system uses the same radio frequency signals for both communication (data transmission) and sensing (gathering target object information). By jointly optimizing the communication and sensing functions, ISAC enhances resource utilization and reduces the system overhead. The directional properties of mmWave and the reconfiguration capabilities of IRS make the system suitable for target detection and sensing. The proposed method aims to jointly optimize communication and sensing capabilities while minimizing interference, enhancing spectral efficiency, and integrating sensing functionality. Specifically, we leverage semidefinite programming to address the semidefinite relaxation problem for active beamforming at the base station and employ a proximal policy optimization-based deep reinforcement learning agent to intelligently configure reflective beamforming at the IRS. Simulation findings indicate that the proposed active-reflective beamforming design surpasses the Greedy-based beamforming and SCA-AO-based techniques by 10.57% and 13.82% with 64 IRS elements, respectively, at an SNR of 20 dB. [ABSTRACT FROM AUTHOR] |
| Copyright of EURASIP Journal on Wireless Communications & Networking 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: 194004552 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: On the joint design of active and reflective beamforming for IRS-assisted integrated sensing and communication system. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ahmed%2C+Irfan%22">Ahmed, Irfan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> iahmed3@hct.ac.ae</i><br /><searchLink fieldCode="AR" term="%22Awawdeh%2C+Moath%22">Awawdeh, Moath</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> mawawdeh@hct.ac.ae</i><br /><searchLink fieldCode="AR" term="%22Faisal%2C+Tarig%22">Faisal, Tarig</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> tfaisal@hct.ac.ae</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22EURASIP+Journal+on+Wireless+Communications+%26+Networking%22">EURASIP Journal on Wireless Communications & Networking</searchLink>. 4/9/2026, Vol. 2026 Issue 1, p1-31. 31p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Beamforming%22">Beamforming</searchLink><br /><searchLink fieldCode="DE" term="%22Semidefinite+programming%22">Semidefinite programming</searchLink><br /><searchLink fieldCode="DE" term="%22Wireless+communications%22">Wireless communications</searchLink><br /><searchLink fieldCode="DE" term="%22Millimeter+waves%22">Millimeter waves</searchLink><br /><searchLink fieldCode="DE" term="%22Bandwidths%22">Bandwidths</searchLink><br /><searchLink fieldCode="DE" term="%22Reinforcement+learning%22">Reinforcement learning</searchLink><br /><searchLink fieldCode="DE" term="%22MIMO+systems%22">MIMO systems</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This paper presents the design of an intelligent reflective surface (IRS)-assisted integrated sensing and communication (ISAC) system in a millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) environment. The ISAC system uses the same radio frequency signals for both communication (data transmission) and sensing (gathering target object information). By jointly optimizing the communication and sensing functions, ISAC enhances resource utilization and reduces the system overhead. The directional properties of mmWave and the reconfiguration capabilities of IRS make the system suitable for target detection and sensing. The proposed method aims to jointly optimize communication and sensing capabilities while minimizing interference, enhancing spectral efficiency, and integrating sensing functionality. Specifically, we leverage semidefinite programming to address the semidefinite relaxation problem for active beamforming at the base station and employ a proximal policy optimization-based deep reinforcement learning agent to intelligently configure reflective beamforming at the IRS. Simulation findings indicate that the proposed active-reflective beamforming design surpasses the Greedy-based beamforming and SCA-AO-based techniques by 10.57% and 13.82% with 64 IRS elements, respectively, at an SNR of 20 dB. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of EURASIP Journal on Wireless Communications & Networking 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=194004552 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1186/s13638-026-02611-y Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 31 StartPage: 1 Subjects: – SubjectFull: Beamforming Type: general – SubjectFull: Semidefinite programming Type: general – SubjectFull: Wireless communications Type: general – SubjectFull: Millimeter waves Type: general – SubjectFull: Bandwidths Type: general – SubjectFull: Reinforcement learning Type: general – SubjectFull: MIMO systems Type: general Titles: – TitleFull: On the joint design of active and reflective beamforming for IRS-assisted integrated sensing and communication system. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ahmed, Irfan – PersonEntity: Name: NameFull: Awawdeh, Moath – PersonEntity: Name: NameFull: Faisal, Tarig IsPartOfRelationships: – BibEntity: Dates: – D: 09 M: 04 Text: 4/9/2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 16871472 Numbering: – Type: volume Value: 2026 – Type: issue Value: 1 Titles: – TitleFull: EURASIP Journal on Wireless Communications & Networking Type: main |
| ResultId | 1 |
