AI 中文总结
研究无人机辅助ISCC系统中安全通信速率、雷达估计速率和计算能量效率的性能权衡，通过联合优化无人机多方面参数分别制定优化问题确立性能边界，进一步探索三者权衡为系统性能协调设计提供理论依据。
AI 中文摘要
综合感知、通信与计算（ISCC）系统通过资源共享和协同设计克服了传统独立架构的局限性，能动态优化并共同提升通信、感知和计算性能，提高整体系统效率。本文研究无人机辅助ISCC系统中安全通信速率、雷达估计速率和计算能量效率之间的性能权衡。通过联合优化无人机的三维轨迹、波束成形、用户调度和计算频率，分别制定三个优化问题以最大化平均保密速率、感知速率和计算能量效率，确立系统在不同场景下的性能边界。在此基础上，为最大化三个性能指标的归一化加权和进一步探索安全、感知和计算之间的权衡，为空中ISCC系统的性能协调设计提供理论依据。
英文摘要
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.
Comments15 pages, 5 figures, submitted to IEEE Journal for review
