STAR-RIS Assisted Uplink ISAC With Monostatic Sensing

This letter designs an uplink integrated sensing and communication (ISAC) framework leveraging a simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) for full-service coverage. The system supports a sensing target (ST) and a communication user (CU) in the transmission and reflection regions, respectively, through energy splitting (ES) in each time slot. To maximize the communication rate while ensuring the sensing requirement, we develop a low-complexity STAR-RIS beamforming solution with a common ES factor, adaptively selecting phase vectors for either channel power maximization or interference mitigation. This solution is further integrated into a nonlinear optimization (NLO) algorithm with nonidentical ES factors and a weighted bipartite matching algorithm for multiple ST-CU pairs. Simulation results confirm the superiority of the ES-based approach over time-switching and demonstrate the performance gains achieved by the proposed NLO and matching algorithms.

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Publication Details

Journal
IEEE Wireless Communications Letters
Published
2025-06-19
DOI
https://doi.org/10.1109/lwc.2025.3581520
Primary Topic
Advanced Wireless Communication Technologies
Type
article
Field-Weighted Citation Impact
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article

STAR-RIS Assisted Uplink ISAC With Monostatic Sensing

Luiggi Cantos, Mubasher Ahmed Khan, Yun Hee Kim
IEEE Wireless Communications Letters
Advanced Wireless Communication Technologies
article

STAR-RIS Assisted Uplink ISAC With Monostatic Sensing

Luiggi Cantos, Mubasher Ahmed Khan, Yun Hee Kim
article en

Abstract

This letter designs an uplink integrated sensing and communication (ISAC) framework leveraging a simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) for full-service coverage. The system supports a sensing target (ST) and a communication user (CU) in the transmission and reflection regions, respectively, through energy splitting (ES) in each time slot. To maximize the communication rate while ensuring the sensing requirement, we develop a low-complexity STAR-RIS beamforming solution with a common ES factor, adaptively selecting phase vectors for either channel power maximization or interference mitigation. This solution is further integrated into a nonlinear optimization (NLO) algorithm with nonidentical ES factors and a weighted bipartite matching algorithm for multiple ST-CU pairs. Simulation results confirm the superiority of the ES-based approach over time-switching and demonstrate the performance gains achieved by the proposed NLO and matching algorithms.

IEEE Wireless Communications LettersVol. 14(9)
Kyung Hee University (KR)
Openalex Percentile: Top 88%
Advanced Wireless Communication Technologies
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STAR-RIS Assisted Uplink ISAC With Monostatic Sensing — Luiggi Cantos, Mubasher Ahmed Khan, et al. · IEEE Wireless Communications Letters (2025) | TGRS Research Map | TGRS