Data-Driven Collaborative Scheduling Method for Multi-Satellite Data-Transmission  

作　　者：Xiaoyu Chen Weichao Gu Guangming Dai Lining Xing Tian Tian Weilai Luo Shi Cheng Mengyun Zhou 

机构地区：[1]School of Computer Science,China University of Geosciences,Wuhan 430074,China [2]School of Electronic Engineering,Xidian University,Xi’an 710071,China [3]School of Computer Science,Shaanxi Normal University,Taiyuan 710119,China

出　　处：《Tsinghua Science and Technology》2024年第5期1463-1480,共18页清华大学学报自然科学版（英文版）

基　　金：supported by the National Natural Science Foundation of China(Nos.42271391,62006214,and 42101439);the Joint Funds of Equipment Pre-Research and Ministry of Education of China(No.8091B022148);the 14th Five-Year Pre-Research Project of Civil Aerospace of China,the Hubei Excellent Young and Middle-Aged Science and Technology Innovation Team Plan Project(No.T2021031);the Open Research Project of Hubei Key Laboratory of Intelligent GeoInformation Processing(No.KLIGIP-2022-B09).

摘　　要：With continuous expansion of satellite applications,the requirements for satellite communication services,such as communication delay,transmission bandwidth,transmission power consumption,and communication coverage,are becoming higher.This paper first presents an overview of the current development status of Low Earth Orbit(LEO)satellite constellations,and then conducts a demand analysis for multi-satellite data transmission based on LEO satellite constellations.The problem is described,and the challenges and difficulties of the problem are analyzed accordingly.On this basis,a multi-satellite data-transmission mathematical model is then constructed.Combining classical heuristic allocating strategies on the features of the proposed model,with the reinforcement learning algorithm Deep Q-Network(DQN),a two-stage optimization framework based on heuristic and DQN is proposed.Finally,by taking into account the spatial and temporal distribution characteristics of satellite and facility resources,a multi-satellite scheduling instance dataset is generated.Experimental results validate the rationality and correctness of the DQN algorithm in solving the collaborative scheduling problem of multi-satellite data transmission.

关 键 词：relay satellite SCHEDULING data transmission Deep Q-Network(DQN) Genetic Algorithm(GA) 

分 类 号：TP333.35[自动化与计算机技术—计算机系统结构]