论文标题
迈向可持续卫星边缘计算
Towards Sustainable Satellite Edge Computing
论文作者
论文摘要
最近，低地球轨道（LEO）卫星经历了快速开发，并且出现了卫星边缘计算，以解决现有卫星系统中弯管架构的局限性。在卫星边缘计算中引入消耗的计算组件会增加电池排放的深度。这将缩短电池的寿命并影响卫星在轨道上的操作。在本文中，我们的目标是通过最大程度地减少地球观察任务的排放深度来延长电池的寿命。面对无线不确定性和能源收集动态的挑战，我们的工作在在线凸出优化框架内开发了在线能源调度算法。我们的算法实现了次线性的遗憾，渐近违反的约束将接近零。仿真结果表明，我们的算法可以显着减少放电深度。
Recently, Low Earth Orbit (LEO) satellites experience rapid development and satellite edge computing emerges to address the limitation of bent-pipe architecture in existing satellite systems. Introducing energy-consuming computing components in satellite edge computing increases the depth of battery discharge. This will shorten batteries' life and influences the satellites' operation in orbit. In this paper, we aim to extend batteries' life by minimizing the depth of discharge for Earth observation missions. Facing the challenges of wireless uncertainty and energy harvesting dynamics, our work develops an online energy scheduling algorithm within an online convex optimization framework. Our algorithm achieves sub-linear regret and the constraint violation asymptotically approaches zero. Simulation results show that our algorithm can reduce the depth of discharge significantly.
