Multi-user ISAC through Stacked Intelligent Metasurfaces: New Algorithms and Experiments
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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866914781059874816 |
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| author | Wang, Ziqing Liu, Hongzheng Zhang, Jianan Xiong, Rujing Wan, Kai Qian, Xuewen Di Renzo, Marco Qiu, Robert Caiming |
| author_facet | Wang, Ziqing Liu, Hongzheng Zhang, Jianan Xiong, Rujing Wan, Kai Qian, Xuewen Di Renzo, Marco Qiu, Robert Caiming |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_01104 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Multi-user ISAC through Stacked Intelligent Metasurfaces: New Algorithms and Experiments Wang, Ziqing Liu, Hongzheng Zhang, Jianan Xiong, Rujing Wan, Kai Qian, Xuewen Di Renzo, Marco Qiu, Robert Caiming Information Theory Signal Processing 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. |
| title | Multi-user ISAC through Stacked Intelligent Metasurfaces: New Algorithms and Experiments |
| topic | Information Theory Signal Processing |
| url | https://arxiv.org/abs/2405.01104 |