OpenAlex ·
Tri-Hybrid Beamforming Design for DMA-Aided Secure ISAC Systems
- Published
- Source
- OpenAlex
- DOI
- 10.48550/arxiv.2609.06790
- Original
- Read it at the publisher
- Topics
Abstract
This paper proposes a tri-hybrid beamforming scheme for secure integrated sensing and communication (ISAC) with a dynamic metasurface antenna (DMA) architecture, where the base station (BS) is capable of communicating with legitimate users and sensing the target. There is also an eavesdropper in the system intending to eavesdrop on the confidential information. The tri-hybrid beamforming design problem is formulated with the objective of maximizing the sensing signal-to-noise ratio (SNR) under the constraints of secrecy spectral efficiency (SSE), transmit power, and physical structure limitations. We first solve the problem and obtain the optimized fully-digital beamforming solution through successive convex approximation (SCA) and semidefinite relaxation (SDR) approaches. A triple alternating optimization scheme is then developed to iteratively optimize the digital, analog, and DMA beamformers, progressively approximating the fully-digital solution. Numerical results demonstrate that the proposed secure tri-hybrid beamforming design for DMA-aided ISAC improves the sensing SNR by approximately 3 dB compared to a tri-hybrid beamforming scheme with a fixed DMA electromagnetic design.
The authors’ abstract, as arXiv lists it. arXiv’s listings, abstracts included, are free for anyone to reuse.
Read it on ReadSearch
Each opens after you create an account, and brings you back to this paper.
More in Signal Processing
Model-Adaptive and Risk-Constrained Frequency Hopping Against Predictive Jammers
EEG-Driven Decoding Framework for Passenger Hazard Perception in Highly Automated Vehicles
Masking Radar Cognition under Adversarial Surveillance: A Distributional Privacy Framework
SLA-Safe Energy Control for AI-Native NG-RAN Using Stability-Aware Constrained PPO
Sub-6 GHz Over-the-Air AMC via Curriculum Fine-Tuned CNN-Transformers
Get the few papers worth your time in Signal Processing every morning.
ReadSearch reads the new papers in your field each day and brings you the few worth reading, each with its key finding in a sentence.