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Computer Science > Information Theory

arXiv:2405.01104 (cs)
[Submitted on 2 May 2024]

Title:Multi-user ISAC through Stacked Intelligent Metasurfaces: New Algorithms and Experiments

Authors:Ziqing Wang, Hongzheng Liu, Jianan Zhang, Rujing Xiong, Kai Wan, Xuewen Qian, Marco Di Renzo, Robert Caiming Qiu
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Abstract:This paper investigates a Stacked Intelligent Metasurfaces (SIM)-assisted Integrated Sensing and Communications (ISAC) system. An extended target model is considered, where the BS aims to estimate the complete target response matrix relative to the SIM. Under the constraints of minimum Signal-to-Interference-plus-Noise Ratio (SINR) for the communication users (CUs) and maximum transmit power, we jointly optimize the transmit beamforming at the base station (BS) and the end-to-end transmission matrix of the SIM, to minimize the Cramér-Rao Bound (CRB) for target estimation. Effective algorithms such as the alternating optimization (AO) and semidefinite relaxation (SDR) are employed to solve the non-convex SINR-constrained CRB minimization problem. Finally, we design and build an experimental platform for SIM, and evaluate the performance of the proposed algorithms for communication and sensing tasks.
Subjects: Information Theory (cs.IT); Signal Processing (eess.SP)
Cite as: arXiv:2405.01104 [cs.IT]
  (or arXiv:2405.01104v1 [cs.IT] for this version)
  https://doi.org/10.48550/arXiv.2405.01104

Submission history

From: Rujing Xiong [view email]
[v1] Thu, 2 May 2024 09:13:32 UTC (2,308 KB)
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