Beamforming in Secure Integrated Sensing and Communication Systems with Antenna Allocation
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
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| _version_ | 1866916420754866176 |
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| author | Shi, Yunxiang Li, Lixin Lin, Wensheng Liang, Wei Han, Zhu |
| author_facet | Shi, Yunxiang Li, Lixin Lin, Wensheng Liang, Wei Han, Zhu |
| contents | In this paper, we consider joint antenna allocation and transmit beamforming design in secure integrated sensing and communication (ISAC) systems. A dual-function base station (DFBS) aims to securely deliver messages to a single-antenna receiver while detecting potential eavesdroppers. To prevent eavesdropping, we incorporate specialized sensing signals, intentionally reducing communication signal power toward suspicious targets to improve sensing. We prioritize minimizing the matching error between the transmitting and required beampatterns for sensing and communication. Our design optimizes antenna allocation and beamforming at the DFBS, meeting minimum secrecy rate and power constraints. We propose solvers based on alternating optimization for the non-convex design problem. Simulations show that the antenna allocation scheme significantly improves safety performance. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_01603 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Beamforming in Secure Integrated Sensing and Communication Systems with Antenna Allocation Shi, Yunxiang Li, Lixin Lin, Wensheng Liang, Wei Han, Zhu Networking and Internet Architecture In this paper, we consider joint antenna allocation and transmit beamforming design in secure integrated sensing and communication (ISAC) systems. A dual-function base station (DFBS) aims to securely deliver messages to a single-antenna receiver while detecting potential eavesdroppers. To prevent eavesdropping, we incorporate specialized sensing signals, intentionally reducing communication signal power toward suspicious targets to improve sensing. We prioritize minimizing the matching error between the transmitting and required beampatterns for sensing and communication. Our design optimizes antenna allocation and beamforming at the DFBS, meeting minimum secrecy rate and power constraints. We propose solvers based on alternating optimization for the non-convex design problem. Simulations show that the antenna allocation scheme significantly improves safety performance. |
| title | Beamforming in Secure Integrated Sensing and Communication Systems with Antenna Allocation |
| topic | Networking and Internet Architecture |
| url | https://arxiv.org/abs/2410.01603 |