STAR-RIS-Enabled Full-Duplex Integrated Sensing and Communication System

Traditional self-interference cancellation (SIC) methods are common in full-duplex (FD) integrated sensing and communication (ISAC) systems. However, exploring new SIC schemes is important due to the limitations of traditional approaches. With the challenging limitations of traditional SIC approaches, this paper proposes a novel simultaneous transmitting and reflecting reconfigurable intelligent surface (STAR-RIS)-enabled FD ISAC system, where STAR-RIS enhances simultaneous communication and target sensing and reduces self-interference (SI) to a level comparable to traditional SIC approaches. The optimization of maximizing the sensing signal-to-interference-plus-noise ratio (SINR) and the communication sum rate, both crucial for improving sensing accuracy and overall communication performance, presents significant challenges due to the non-convex nature of these problems. Therefore, we develop alternating optimization algorithms to iteratively tackle these problems. Specifically, we devise the semi-definite relaxation (SDR)-based algorithm for transmit beamformer design. For the reflecting and refracting coefficients design, we adopt the successive convex approximation (SCA) method and implement the SDR-based algorithm to tackle the quartic and quadratic constraints. Simulation results validate the effectiveness of the proposed algorithms and show that the proposed deployment can achieve better performance than that of the benchmark using the traditional SIC approach without STAR-RIS deployment.

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Publication Details

Journal
IEEE Transactions on Wireless Communications
Published
2025-06-03
DOI
https://doi.org/10.1109/twc.2025.3573641
Citations
3
Primary Topic
Full-Duplex Wireless Communications
Type
article
Field-Weighted Citation Impact
2.19
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article

STAR-RIS-Enabled Full-Duplex Integrated Sensing and Communication System

Gaojie Chen, Chiya Zhang, Qu Luo, Dusit Niyato et al.
3 citations
IEEE Transactions on Wireless Communications
Full-Duplex Wireless Communications
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article

STAR-RIS-Enabled Full-Duplex Integrated Sensing and Communication System

Gaojie Chen, Chiya Zhang, Qu Luo, Dusit Niyato, Yun Wen, Yu Liu
article en
3 citations

Abstract

Traditional self-interference cancellation (SIC) methods are common in full-duplex (FD) integrated sensing and communication (ISAC) systems. However, exploring new SIC schemes is important due to the limitations of traditional approaches. With the challenging limitations of traditional SIC approaches, this paper proposes a novel simultaneous transmitting and reflecting reconfigurable intelligent surface (STAR-RIS)-enabled FD ISAC system, where STAR-RIS enhances simultaneous communication and target sensing and reduces self-interference (SI) to a level comparable to traditional SIC approaches. The optimization of maximizing the sensing signal-to-interference-plus-noise ratio (SINR) and the communication sum rate, both crucial for improving sensing accuracy and overall communication performance, presents significant challenges due to the non-convex nature of these problems. Therefore, we develop alternating optimization algorithms to iteratively tackle these problems. Specifically, we devise the semi-definite relaxation (SDR)-based algorithm for transmit beamformer design. For the reflecting and refracting coefficients design, we adopt the successive convex approximation (SCA) method and implement the SDR-based algorithm to tackle the quartic and quadratic constraints. Simulation results validate the effectiveness of the proposed algorithms and show that the proposed deployment can achieve better performance than that of the benchmark using the traditional SIC approach without STAR-RIS deployment.

IEEE Transactions on Wireless CommunicationsVol. 24(11)
Sun Yat-sen University (CN), Nanyang Technological University (SG), Harbin Institute of Technology (CN), University of Surrey (GB), Southeast University (CN)
Openalex Percentile: Top 12%
Full-Duplex Wireless Communications
2.19
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