Secure High-Resolution ISAC via Multi-Layer Intelligent Metasurfaces: A Layered Optimization Framework
Amirhossein Taherpour, Abbas Taherpour, and Tamer Khattab

TL;DR
This paper presents a layered optimization framework utilizing stacked intelligent metasurfaces to enhance high-resolution sensing and secure communication in integrated sensing and communication systems, addressing key limitations of existing approaches.
Contribution
It introduces a novel multi-layer metasurface system with a layered optimization algorithm that jointly improves sensing accuracy and communication security under practical constraints.
Findings
Achieves 32-61% improvement in sensing accuracy
Enhances secrecy rates by 15-35%
Demonstrates robustness to channel uncertainties
Abstract
Integrated sensing and communication (ISAC) has emerged as a pivotal technology for next-generation wireless networks, enabling simultaneous data transmission and environmental sensing. However, existing ISAC systems face fundamental limitations in achieving high-resolution sensing while maintaining robust communication security and spectral efficiency. This paper introduces a transformative approach leveraging stacked intelligent metasurfaces (SIM) to overcome these challenges. We propose a multi-functional SIM-assisted system that jointly optimizes communication secrecy and sensing accuracy through a novel layered optimization framework. Our solution employs a multi-objective optimization formulation that balances secrecy rate maximization with sensing error minimization under practical hardware constraints. The proposed layered block coordinate descent algorithm efficiently…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · Wireless Communication Security Techniques · Underwater Vehicles and Communication Systems
