AI 中文总结
针对太阳能HAPS赋能的ISAC系统，提出八字形盘旋架构的通信-感知-能源协同设计，联合优化波束成形等，实现可持续昼夜ISAC运行，仿真验证了其有效性。
AI 中文摘要
太阳能驱动的高空平台站（HAPS）凭借广覆盖范围与长续航运行，为集成感知与通信（ISAC）提供了极具前景的平台。本文提出一种支持可持续昼夜运行的太阳能HAPS赋能ISAC框架，采用八字形盘旋架构，在地理分隔区域提供持续ISAC服务的同时采集太阳能。通过联合表征太阳能采集、电池动态、推进功耗、通信传输及合成孔径雷达（SAR）成像，构建了统一的通信-感知-能源模型。基于该模型，针对白天运行（DTO）与夜间运行（NTO）建立耦合优化问题，电池状态通过长期能源预算衔接两个运行阶段。所提框架联合优化通信、感知、移动性与能源管理，以最大化白天通信性能并最小化夜间推进能耗，开发了高效迭代算法求解所得非凸优化问题。仿真结果验证了所提通信-感知-能源协同设计的有效性，表明该框架可有效支撑可持续昼夜ISAC运行。
英文摘要
Solar-powered high-altitude platform stations (HAPSs) provide a promising platform for integrated sensing and communication (ISAC) owing to their wide-area coverage and long-endurance operation. This paper proposes a solar-powered HAPS-enabled ISAC framework for sustainable day-night operation, where a figure-eight loitering architecture is adopted to provide persistent ISAC services over geographically separated regions while harvesting solar energy. A unified communication-sensing-energy model is developed by jointly characterizing solar energy harvesting, battery dynamics, propulsion power consumption, communication transmission, and synthetic aperture radar (SAR) imaging. Based on this model, coupled optimization problems are formulated for daytime operation (DTO) and nighttime operation (NTO), where the battery state bridges the two operational phases through a long-term energy budget. The proposed framework jointly optimizes communication, sensing, mobility, and energy management to maximize daytime communication performance while minimizing nighttime propulsion energy consumption. Efficient iterative algorithms are developed to solve the resulting non-convex optimization problems. Simulation results verify the effectiveness of the proposed communication-sensing-energy co-design and demonstrate that the proposed framework effectively supports sustainable day-night ISAC operation.
