Active RIS-Aided ISAC Systems: Beamforming Design and Performance Analysis

This paper considers an active reconfigurable intelligent surface (RIS)-aided integrated sensing and communication (ISAC) system. We aim to maximize radar signal-to-interference-plus-noise-ratio (SINR) by jointly optimizing the beamforming matrix at a dual-function radar-communication (DFRC) base st...

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Published inIEEE transactions on communications Vol. 72; no. 3; pp. 1578 - 1595
Main Authors Yu, Zhiyuan, Ren, Hong, Pan, Cunhua, Zhou, Gui, Wang, Boshi, Dong, Mianxiong, Wang, Jiangzhou
Format Journal Article
LanguageEnglish
Published New York IEEE 01.03.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
active RIS
Algorithms
Array signal processing
Beamforming
Communication
dual-function radar-communication (DFRC)
integrated sensing and communication (ISAC)
intelligent reflecting surface (IRS)
Interference
Optimization
Quality of service
Radar
Radar antennas
Reconfigurable intelligent surface (RIS)
Sensors
Signal to noise ratio
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Abstract This paper considers an active reconfigurable intelligent surface (RIS)-aided integrated sensing and communication (ISAC) system. We aim to maximize radar signal-to-interference-plus-noise-ratio (SINR) by jointly optimizing the beamforming matrix at a dual-function radar-communication (DFRC) base station (BS) and the reflecting coefficients at an active RIS subject to the quality of service (QoS) constraints of communication user equipments (UEs) and the transmit power constraints of active RIS and DFRC BS. To tackle the optimization problem, the majorization-minimization (MM) algorithm is applied to address the nonconvex radar SINR objective function, and the resulting quartic problem is solved by developing an semidefinite relaxation (SDR)-based approach. Moreover, we derive the scaling order of the radar SINR with a large number of reflecting elements. Next, the transmit power allocation problem and the deployment strategy of the active RIS are studied with a moderate number of reflecting elements. Finally, we validate the potential of the active RIS in ISAC systems compared to passive RIS. Additionally, we deliberate on several open problems that remain for future research.
AbstractList This paper considers an active reconfigurable intelligent surface (RIS)-aided integrated sensing and communication (ISAC) system. We aim to maximize radar signal-to-interference-plus-noise-ratio (SINR) by jointly optimizing the beamforming matrix at a dual-function radar-communication (DFRC) base station (BS) and the reflecting coefficients at an active RIS subject to the quality of service (QoS) constraints of communication user equipments (UEs) and the transmit power constraints of active RIS and DFRC BS. To tackle the optimization problem, the majorization-minimization (MM) algorithm is applied to address the nonconvex radar SINR objective function, and the resulting quartic problem is solved by developing an semidefinite relaxation (SDR)-based approach. Moreover, we derive the scaling order of the radar SINR with a large number of reflecting elements. Next, the transmit power allocation problem and the deployment strategy of the active RIS are studied with a moderate number of reflecting elements. Finally, we validate the potential of the active RIS in ISAC systems compared to passive RIS. Additionally, we deliberate on several open problems that remain for future research.
Author Yu, Zhiyuan
Wang, Boshi
Dong, Mianxiong
Ren, Hong
Zhou, Gui
Pan, Cunhua
Wang, Jiangzhou
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Snippet This paper considers an active reconfigurable intelligent surface (RIS)-aided integrated sensing and communication (ISAC) system. We aim to maximize radar...
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SubjectTerms active RIS
Algorithms
Array signal processing
Beamforming
Communication
dual-function radar-communication (DFRC)
integrated sensing and communication (ISAC)
intelligent reflecting surface (IRS)
Interference
Optimization
Quality of service
Radar
Radar antennas
Reconfigurable intelligent surface (RIS)
Sensors
Signal to noise ratio
Title Active RIS-Aided ISAC Systems: Beamforming Design and Performance Analysis
URI https://ieeexplore.ieee.org/document/10319318
https://www.proquest.com/docview/2969044684
Volume 72
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