基于数据和知识驱动的低轨卫星资源智能调度研究综述

A survey on data and knowledge-driven intelligent resource scheduling for leo satellites

低轨卫星通信系统作为空天地一体化网络中的重要组成部分,由于低时延、低成本等优势受到越来越多的关注。针对低轨卫星的特点,面向用户的业务多样性和分布不均性,相应的资源调度方法也得到了广泛研究。首先对数据驱动和知识驱动方法进行概述并分析各自的特点,主要包括数据驱动方法和知识驱动方法的介绍、知识的定义和分类以及知识融入的途径。其次对传统数学模型驱动的资源调度方法进行介绍,着重介绍数据驱动的资源调度方法以及数据和知识联合驱动的资源调度方法,最后总结并展望未来低轨卫星资源调度研究面临的挑战。

As an important part of the space-integrated-ground information networks,the low-earth-orbit satellite communication system has attracted more and more attention due to its advantages of low delay and low cost.According to the characteristics of low-earth-orbit satellites and the diversity as well as uneven distribution of users’services,the corresponding resource scheduling methods have also been widely studied.Firstly,summarizes the data-driven and knowledge-driven methods and analyzes their characteristics respectively,including the introduction of data-driven methods and knowledge-driven methods,the definition and classification of knowledge and the ways of knowledge integration.Secondly,the traditional mathematical model-driven resource scheduling method is introduced,and then the data-driven resource scheduling method and the data-knowledge-driven resource scheduling method are emphatically introduced.Finally,the challenges of resource scheduling for low-earth-orbit satellites in the future are summarized and prospected.