Joint Optimization of Resource Allocation and Radar Receiver Selection in Integrated Communication-Radar Systems
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arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Acceso en línea: | |
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| _version_ | 1866917957081235456 |
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| author | Zhong, Chen Zhou, Xufeng Tang, Lan Lou, Mengting |
| author_facet | Zhong, Chen Zhou, Xufeng Tang, Lan Lou, Mengting |
| contents | In this paper, we investigate a distributed multi-input multi-output and orthogonal frequency division multiplexing (MIMO-OFDM) dual-function radar-communication (DFRC) system, which enables simultaneous communication and sensing in different subcarrier sets. To obtain the best tradeoff between communication and sensing performance, we first derive Cramer-Rao Bound (CRB) of targets in the detection area, and then maximize the transmission rate by jointly optimizing the power/subcarriers allocation and the selection of radar receivers under the constraints of detection performance and total transmit power. To tackle the non-convex mixed integer programming problem, we decompose the original problem into a semidefinite programming (SDP) problem and a convex quadratic integer problem and solve them iteratively. The numerical results demonstrate the effectiveness of our proposed algorithm, as well as the performance improvement brought by optimizing radar receivers selection. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_11111 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Joint Optimization of Resource Allocation and Radar Receiver Selection in Integrated Communication-Radar Systems Zhong, Chen Zhou, Xufeng Tang, Lan Lou, Mengting Signal Processing In this paper, we investigate a distributed multi-input multi-output and orthogonal frequency division multiplexing (MIMO-OFDM) dual-function radar-communication (DFRC) system, which enables simultaneous communication and sensing in different subcarrier sets. To obtain the best tradeoff between communication and sensing performance, we first derive Cramer-Rao Bound (CRB) of targets in the detection area, and then maximize the transmission rate by jointly optimizing the power/subcarriers allocation and the selection of radar receivers under the constraints of detection performance and total transmit power. To tackle the non-convex mixed integer programming problem, we decompose the original problem into a semidefinite programming (SDP) problem and a convex quadratic integer problem and solve them iteratively. The numerical results demonstrate the effectiveness of our proposed algorithm, as well as the performance improvement brought by optimizing radar receivers selection. |
| title | Joint Optimization of Resource Allocation and Radar Receiver Selection in Integrated Communication-Radar Systems |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2503.11111 |