Dual-Function Radar Communications: A Secure Optimization Approach Using Partial Group Successive Interference Cancellation.

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Title: Dual-Function Radar Communications: A Secure Optimization Approach Using Partial Group Successive Interference Cancellation.
Authors: Chai, Mengqiu1 (AUTHOR) mengqiuchai@tongji.edu.cn, Zhao, Shengjie1,2,3 (AUTHOR) shengjiezhao@tongji.edu.cn, Liu, Yuan4 (AUTHOR) yuanliu@sdjtu.edu.cn
Source: Remote Sensing. Feb2025, Vol. 17 Issue 3, p364. 22p.
Subjects: Physical layer security, Radar interference, Optimization algorithms, Communication in management, Signal-to-noise ratio
Abstract: As one of the promising technologies of 6G, dual-function radar communication (DFRC) integrates communication and radar sensing networks. However, with the application and deployment of DFRC, its security problem has become a significantly important issue. In this paper, we consider the physical layer security of a DFRC system where the base station communicates with multiple legitimate users and simultaneously detects the sensing target of interest. The sensing target is also a potential eavesdropper wiretapping the secure transmission. To this end, we proposed a secure design based on partial group successive interference cancellation through fully leveraging the split messages and partially decoding to improve the rate increment of legitimate users. In order to maximize the radar echo signal-to-noise ratio (SNR), we formulate an optimization problem of beamforming and consider introducing new variables and relaxing the problem to solve the non-convexity of the problem. Then, we propose a joint secure beamforming and rate optimization algorithm to solve the problem. Simulation results demonstrate the effectiveness of our design in improving the sensing and secrecy performance of the considered DFRC system. [ABSTRACT FROM AUTHOR]
Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: <searchLink fieldCode="DE" term="%22Physical+layer+security%22">Physical layer security</searchLink><br /><searchLink fieldCode="DE" term="%22Radar+interference%22">Radar interference</searchLink><br /><searchLink fieldCode="DE" term="%22Optimization+algorithms%22">Optimization algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Communication+in+management%22">Communication in management</searchLink><br /><searchLink fieldCode="DE" term="%22Signal-to-noise+ratio%22">Signal-to-noise ratio</searchLink>
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  Data: As one of the promising technologies of 6G, dual-function radar communication (DFRC) integrates communication and radar sensing networks. However, with the application and deployment of DFRC, its security problem has become a significantly important issue. In this paper, we consider the physical layer security of a DFRC system where the base station communicates with multiple legitimate users and simultaneously detects the sensing target of interest. The sensing target is also a potential eavesdropper wiretapping the secure transmission. To this end, we proposed a secure design based on partial group successive interference cancellation through fully leveraging the split messages and partially decoding to improve the rate increment of legitimate users. In order to maximize the radar echo signal-to-noise ratio (SNR), we formulate an optimization problem of beamforming and consider introducing new variables and relaxing the problem to solve the non-convexity of the problem. Then, we propose a joint secure beamforming and rate optimization algorithm to solve the problem. Simulation results demonstrate the effectiveness of our design in improving the sensing and secrecy performance of the considered DFRC system. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.3390/rs17030364
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        Text: English
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        PageCount: 22
        StartPage: 364
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      – SubjectFull: Physical layer security
        Type: general
      – SubjectFull: Radar interference
        Type: general
      – SubjectFull: Optimization algorithms
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      – SubjectFull: Communication in management
        Type: general
      – SubjectFull: Signal-to-noise ratio
        Type: general
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      – TitleFull: Dual-Function Radar Communications: A Secure Optimization Approach Using Partial Group Successive Interference Cancellation.
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            NameFull: Chai, Mengqiu
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              M: 02
              Text: Feb2025
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              Y: 2025
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