| Pan Kunbei (潘坤贝)*,Wang Jiaming*,Zhou Bin**,Huang Bo*,Huang Yanjun***.[J].高技术通讯(英文),2026,32(1):21~29 |
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| A two-stage resource allocation algorithm for ISAC in the HRIS-aided FD network |
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| DOI：10. 3772 / j. issn. 1006-6748. 2026. 01. 003 |
| 中文关键词: |
| 英文关键词: integrated sensing and communication, full-duplex, hybrid reconfigurable intelligent surface, resource allocation, beampattern gain. |
| 基金项目: |
| Author Name | Affiliation | | Pan Kunbei (潘坤贝)* | (* Shanghai Aerospace Electronic Technology Institute, Shanghai 201109, P. R. China)
(** Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, P. R. China)
(*** Shanghai Xiaoyuan Innovation Center, Shanghai 201199, P. R. China) | | Wang Jiaming* | | | Zhou Bin** | | | Huang Bo* | | | Huang Yanjun*** | |
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| 中文摘要: |
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| 英文摘要: |
| Integrated sensing and communication (ISAC) systems can enhance security and reliability in full-duplex (FD) networks. This paper studies the resource allocation problem in FD networks based on ISAC. We formulate an optimization problem that jointly considers beamforming, radar waveform, and reflection coefficient of a hybrid reconfigurable intelligent surface, aiming to maximize the beampattern gain of the concealed target while maintaining the quality of service of communication users. A two-stage algorithm is designed to solve this problem: the first stage optimizes the radar waveform and beamforming, and the second focuses on the reflection coefficient design. We acquire the feasible solution using semidefinite programming relaxation. The optimality of the feasible solution for radar waveform and beamforming subproblem is ensured through Cauchy-Schwartz inequality. For the reflection coefficient design, an approximate optimal solution is acquired through successive convex approximation. Numerical results demonstrate that the proposed algorithm can achieve a superior performance trade-off between communication and radar sensing compared to the benchmarks. |
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