NOMA-Enhanced Secure Transmission Scheme for SWIPT-ISAC Networks
To satisfy the communication, localization, and energy demands of low-power IoT nodes, combining integrated sensing and communication (ISAC) and simultaneous wireless information and power transfer (SWIPT) can offer an innovative solution. However, carrying private information in wireless sensing beams critically increases the vulnerability of being eavesdropped by the target. In this paper, we propose a non-orthogonal multiple access (NOMA)-enhanced secure transmission strategy to counteract the internal eavesdropping for SWIPT-ISAC. We jointly optimize the transmit beamforming and power splitting to maximize the secrecy rate towards the eavesdropping by the target, ensuring the nonlinear energy harvesting (EH) and precise sensing beampatterns. Our approach enables the nodes to manage the interference through successive interference cancellation and to harvest energy from the transmitted signal. The original optimization problem is non-convex and difficult to tackle. Using the semidefinite relaxation, we convert it to convex form, and propose alternating optimization algorithm to derive the solutions. Simulation results indicate that the proposed scheme can effectively counteract the internal eavesdropping, while ensuring the nonlinear <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mathbf{E H}$</tex> and sensing performance.
Authors
- Tony Q. S. Quek (ORCID: https://orcid.org/0000-0002-4037-3149)
- Zhutian Yang (ORCID: https://orcid.org/0000-0002-6952-4465)
- Nan Zhao (ORCID: https://orcid.org/0000-0002-6497-7799)
- Hanze Liu (ORCID: https://orcid.org/0000-0002-4839-8439)
- Dongdong Li (ORCID: https://orcid.org/0009-0001-4323-7345)
Institutions
- Singapore University of Technology and Design (SG)
- Harbin Institute of Technology (CN)
- Dalian University of Technology (CN)
- Dalian University (CN)
Publication Details
- Published
- 2025-06-08
- DOI
- https://doi.org/10.1109/icc52391.2025.11160792
- Citations
- 1
- Primary Topic
- Advanced Wireless Communication Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.73