Transmit Beamforming Design for ISAC with Stacked Intelligent Metasurfaces
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arXiv
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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866909649513480192 |
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| author | Li, Shunyu Zhang, Fan Mao, Tianqi Na, Rui Wang, Zhaocheng Karagiannidis, George K. |
| author_facet | Li, Shunyu Zhang, Fan Mao, Tianqi Na, Rui Wang, Zhaocheng Karagiannidis, George K. |
| contents | This paper proposes a transmit beamforming strategy for the integrated sensing and communication (ISAC) systems enabled by the novel stacked intelligent metasurface (SIM) architecture, where the base station (BS) simultaneously performs downlink communication and radar target detection via different beams. 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 (D3) 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 fair trade-off between communication and sensing objectives. Numerical results demonstrate the superiority of the proposed beamforming design in terms of balancing communication and sensing performance. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_03259 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Transmit Beamforming Design for ISAC with Stacked Intelligent Metasurfaces Li, Shunyu Zhang, Fan Mao, Tianqi Na, Rui Wang, Zhaocheng Karagiannidis, George K. Signal Processing This paper proposes a transmit beamforming strategy for the integrated sensing and communication (ISAC) systems enabled by the novel stacked intelligent metasurface (SIM) architecture, where the base station (BS) simultaneously performs downlink communication and radar target detection via different beams. 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 (D3) 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 fair trade-off between communication and sensing objectives. Numerical results demonstrate the superiority of the proposed beamforming design in terms of balancing communication and sensing performance. |
| title | Transmit Beamforming Design for ISAC with Stacked Intelligent Metasurfaces |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2409.03259 |