Edge Intelligence Assisted Resource Management for Satellite Communication

作     者：Yaohua Sun Mugen Peng Yaohua Sun;Mugen Peng

作者机构：State Key Laboratory of Networking and Switching TechnologyBeijing University of Posts and TelecommunicationsBeijing 100876China 

出 版 物：《China Communications》 (中国通信（英文版）)

年 卷 期：2022年第19卷第8期

页      面：31-40页

核心收录：

学科分类：080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 081001[工学-通信与信息系统] 

基　　金：supported in part by the National Natural Science Foundation of China(No.62001053) the Beijing Municipal Science and Technology Project(No.Z211100004421017) Young Elite Scientist Sponsorship Program by China Institute of Communications 

主　　题：satellite communication resource management stochastic learning 

摘      要：Satellite communication has been seen as a vital part of the sixth generation communication,which greatly extends network *** satellite communication,resource management is a key problem attracting many research ***,previous study mainly focuses on throughput improvement via power allocation and spectrum assignment and the proposed approaches are mostly model-based and dedicated to specific problem ***,with the trend of edge intelligence,complex resource management problems can be efficiently resolved in a model-free *** this paper,a joint beam activation,user-beam association and time resource allocation approach is *** core idea is using stochastic learning at the ground station to identify active user-link beams to meet user rate *** addition,the convergence,optimality and complexity of our proposal are rigorously *** simulation,it is shown that the rate goal of most of the users can be met and meanwhile satellite energy is saved owing to much less active beams.