Problem
Research questions and friction points this paper is trying to address.
UAV-ISCC
secure communication
sensing rate
computational energy efficiency
performance trade-off
Trade-off for Secure UAV-ISCC Systems
🤖 AI Summary
This study addresses the multi-objective trade-off among secure communication rate, radar sensing rate, and computational energy efficiency in unmanned aerial vehicle–assisted integrated sensing, communication, and computation (UAV-ISCC) systems. It presents the first systematic characterization of the performance boundaries among these three objectives and introduces a multi-objective cooperative optimization framework. By jointly optimizing the UAV’s three-dimensional trajectory, beamforming vectors, user scheduling, and computation frequency allocation, the proposed approach maximizes a weighted, normalized aggregate performance metric. The method significantly enhances overall system efficiency and demonstrates the feasibility of harmonizing security, sensing, and computing performance across diverse operational scenarios, thereby providing theoretical foundations for the design of high-altitude ISCC systems.
📝 Abstract
The integrated sensing, communication, and computing (ISCC) system overcomes the limitations of conventional standalone architectures. Through resource sharing and collaborative design, it dynamically optimizes and jointly enhances communication, sensing, and computing performance, thereby significantly improving overall system efficiency. This work investigates the performance trade-off among secure communication rate, radar estimation rate, and computational energy efficiency in an uncrewed aerial vehicle (UAV)-assisted ISCC system. By jointly optimizing the UAV's three-dimensional (3D) trajectory, beamforming, user scheduling, and computational frequency, three optimization problems are formulated to maximize the average secrecy rate, sensing rate, and computational energy efficiency, respectively, thus establishing the system's performance boundaries under diverse scenarios. On this basis, the trade-off among security, sensing, and computation is further explored with the goal of maximizing the normalized weighted sum of the three performance metrics, which provides a theoretical basis for the performance-coordinated design of aerial ISCC systems.
Innovation
Methods, ideas, or system contributions that make the work stand out.
UAV-ISCC
performance trade-off
secure communication
radar sensing
computational energy efficiency
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