Dynamic Uplink Transmission Scheduling for Satellite Internet of Things Applications  

作　　者：Li Wang Shuaijun Liu Weidong Wang Zhiyan Fan 

机构地区：[1]Beijing University of Posts and Telecommunications,Beijing 100876,China [2]China Academy of Information and Communications Technology,Beijing 100191,China [3]Institute of Software Chinese Academy of Sciences,Beijing 100190,China

出　　处：《China Communications》2020年第10期241-248,共8页中国通信（英文版）

摘　　要：Satellite communication systems provide a cost-effective solution for global internet of things(IoT)applications due to its large coverage and easy deployment.This paper mainly focuses on Satellite networks system,in which low earth orbit(LEO)satellites network collect sensing data from the user terminals(UTs)and then forward the data to ground station through geostationary earth orbit(GEO)satellites network.Considering the limited uplink transmission resources,this paper optimizes the uplink transmission scheduling scheme over LEO satellites.A novel transmission scheduling algorithm,which combined Algorithms of Simulated Annealing and Monte Carlo(SA-MC),is proposed to achieve the dynamic optimal scheduling scheme.Simulation results show the effectiveness of the proposed SA-MC algorithm in terms of cost value reduction and fast convergence.

关 键 词：satellite IoT transmission scheduling resource allocation simulated annealing Monte Carlo 

分 类 号：TP391.44[自动化与计算机技术—计算机应用技术] TN927.2[自动化与计算机技术—计算机科学与技术]