Cited by 55Advanced Wireless Communication TechnologiesAdvanced Antenna and Metasurface TechnologiesRadar Systems and Signal Processing

Transmit Beamforming Design for ISAC With Stacked Intelligent Metasurfaces

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Li, Shunyu, Zhang, Fan, Mao, Tianqi, Na, Rui, Wang, Zhaocheng, Karagiannidis, George K.·2025·IEEE Transactions on Vehicular Technology

Abstract

This paper proposes a transmit beamforming strategy for the integrated sensing and communication (ISAC) systems enabled by the novel stacked intelligent metasurface (SIM) architecture, different from conventional single-layer reconfigurable intelligent surface (RIS) by cascading multiple transmissive metasurface layers, where the base station (BS) simultaneously performs downlink communication and radar target detection via fully passive wave domain beamforming, result in the significant reduction in hardware cost and power consumption. To ensure superior dual-function performance simultaneously, we design the multi-layer cascading beamformer by maximizing the sum rate of the users while optimally shaping the normalized beam pattern for detection. A dual-normalized differential gradient descent ($\text{D}^{3}$) algorithm is further proposed to solve the resulting non-convex multi-objective problem (MOP), where gradient differences and dual normalization are employed to ensure a flexible trade-off between communication and sensing objectives at the gradient level, providing finer control over the optimization process. Numerical results demonstrate the superiority of the proposed beamforming design in terms of balancing communication and sensing performance.

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Crossref · 10.1109/tvt.2024.3517709

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  • After training the transmission coefficients of meta-atoms, the SIM achieved over 90% accuracy in image recognition.

    “After training the transmission coefficients of meta-atoms, the SIM achieved over 90 % accuracy in image recognition [105].”

    From Emerging Technologies in Intelligent Metasurfaces: Shaping the Future of Wireless Communications (2026) · cites this paper as [105]

    The D³ Algorithm section describes updating SIM meta-atom phase shifts, and the Numerical Results section reports communication sum rates and sensing beam-matching errors. Our copy does not report image-recognition experiments or an accuracy above 90% (searched for image recognition, classification, and accuracy). (LLM, conf=0.77)

    Experimental — accuracy not yet measured

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  1. Z. Li, Z. Gao et al., "Unauthorized UAV countermeasure for Low- Altitude Economy: Joint communications and jamming based on MIMO cellular systems," IEEE Internet Things J., To appear.

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Authors
Li, S., Zhang, F., Mao, T., Na, R., Wang, Z., & Karagiannidis, G. K.
Affiliations
  • Beijing Institute of Technology (CN)
  • Tsinghua University (CN)
  • Aristotle University of Thessaloniki (GR)
Venue
IEEE Transactions on Vehicular Technology
Published
2025-04
Volume
74
Issue
4
Pages
6767-6772
ISSN
  • 0018-9545 (ISSN-L)
  • 1939-9359
OpenAlex
W4405440374
Cited by
55
References
20
Citations by year
2026: 33 · 2025: 22
FWCI
5.70
Type
journal article
Language
en
Open access
Locations
  • IEEE Transactions on Vehicular Technology (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • arXiv (Cornell University)
Funders
  • National Natural Science Foundation of China (62401054, 62088101)
  • Young Elite Scientists Sponsorship Program by China Association for Science and Technology (2022QNRC001)
  • National Key R&D Program of China (2022YFB3200310)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Wireless Communication Technologies
  • Physical Sciences › Engineering › Aerospace Engineering › Advanced Antenna and Metasurface Technologies
  • Physical Sciences › Engineering › Aerospace Engineering › Radar Systems and Signal Processing
Keywords
transmit beamforming, integrated sensing and communication, stacked intelligent metasurfaces, reconfigurable intelligent surface, passive beamforming, radar target detection, sum rate maximization, sensing-communication trade-off, downlink transmission

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