Robust Transmission Design for RIS-Assisted Integrated Sensing and Communication Systems

As a critical technology for next-generation communication networks, integrated sensing and communication (ISAC) aims to achieve the harmonious coexistence of communication and sensing. The degrees-of-freedom (DoF) of ISAC is limited due to multiple performance metrics used for communication and sen...

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Vydané v:	IEEE transactions on vehicular technology Ročník 73; číslo 11; s. 17151 - 17164
Hlavní autori:	Xu, Yongqing, Li, Yong, Quek, Tony Q.S.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.11.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Approximation algorithms Array signal processing Beamforming Communication Communication networks Communications systems Convergence Cramer-Rao bounds Degrees of freedom Error analysis Integrated sensing and communication intelligent reflecting surfaces Interference joint communication and sensing Metamaterials Performance measurement Radar Receiving antennas Reconfigurable intelligent surfaces robust beamforming design
ISSN:	0018-9545, 1939-9359
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Abstract	As a critical technology for next-generation communication networks, integrated sensing and communication (ISAC) aims to achieve the harmonious coexistence of communication and sensing. The degrees-of-freedom (DoF) of ISAC is limited due to multiple performance metrics used for communication and sensing. Reconfigurable Intelligent Surfaces (RIS) composed of metamaterials can enhance the DoF in the spatial domain of ISAC systems. However, the availability of perfect Channel State Information (CSI) is a prerequisite for the gain brought by RIS, which is not realistic in practical environments. Therefore, under the imperfect CSI condition, we propose a decomposition-based large deviation inequality approach to eliminate the impact of CSI error on communication rate and sensing Cramér-Rao bound (CRB). Then, an alternating optimization (AO) algorithm based on semi-definite relaxation (SDR) and gradient extrapolated majorization-maximization (GEMM) is proposed to solve the transmit beamforming and discrete RIS beamforming problems. We also analyze the complexity and convergence of the proposed algorithm. Simulation results show that the proposed algorithms can effectively eliminate the influence of CSI error and have good convergence performance. Notably, when CSI error exists, the gain brought by RIS will decrease with the increase of the number of RIS elements.
AbstractList	As a critical technology for next-generation communication networks, integrated sensing and communication (ISAC) aims to achieve the harmonious coexistence of communication and sensing. The degrees-of-freedom (DoF) of ISAC is limited due to multiple performance metrics used for communication and sensing. Reconfigurable Intelligent Surfaces (RIS) composed of metamaterials can enhance the DoF in the spatial domain of ISAC systems. However, the availability of perfect Channel State Information (CSI) is a prerequisite for the gain brought by RIS, which is not realistic in practical environments. Therefore, under the imperfect CSI condition, we propose a decomposition-based large deviation inequality approach to eliminate the impact of CSI error on communication rate and sensing Cramér-Rao bound (CRB). Then, an alternating optimization (AO) algorithm based on semi-definite relaxation (SDR) and gradient extrapolated majorization-maximization (GEMM) is proposed to solve the transmit beamforming and discrete RIS beamforming problems. We also analyze the complexity and convergence of the proposed algorithm. Simulation results show that the proposed algorithms can effectively eliminate the influence of CSI error and have good convergence performance. Notably, when CSI error exists, the gain brought by RIS will decrease with the increase of the number of RIS elements.
Author	Xu, Yongqing Li, Yong Quek, Tony Q.S.
Author_xml	– sequence: 1 givenname: Yongqing orcidid: 0000-0002-9770-4922 surname: Xu fullname: Xu, Yongqing email: xuyongqing@bupt.edu.cn organization: Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications, Beijing, China – sequence: 2 givenname: Yong orcidid: 0000-0002-4096-8652 surname: Li fullname: Li, Yong email: liyong@bupt.edu.cn organization: Key Laboratory of Universal Wireless Communications, Beijing University of Posts and Telecommunications, Beijing, China – sequence: 3 givenname: Tony Q.S. orcidid: 0000-0002-4037-3149 surname: Quek fullname: Quek, Tony Q.S. email: tonyquek@sutd.edu.sg organization: Singapore University of Technology and Design, Singapore
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SubjectTerms	Algorithms Approximation algorithms Array signal processing Beamforming Communication Communication networks Communications systems Convergence Cramer-Rao bounds Degrees of freedom Error analysis Integrated sensing and communication intelligent reflecting surfaces Interference joint communication and sensing Metamaterials Performance measurement Radar Receiving antennas Reconfigurable intelligent surfaces robust beamforming design
Title	Robust Transmission Design for RIS-Assisted Integrated Sensing and Communication Systems
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