Dynamic Beam Hopping for DVB-S2X GEO Satellite: A DRL-Powered GA Approach
IEEE Communications Letters(2022)
摘要
Dynamic beam hopping (DBH) is a crucial technology for adapting to the flexibility of service configurations in multi-beam satellite (MBS) communications. To solve the problem that the traditional beam-hopping method is difficult to adapt to the dynamic satellite environment, Deep Reinforcement Learning (DRL) was proposed. DRL can use the previous information to make decisions at the current momen...
更多查看译文
关键词
Satellites,Genetic algorithms,Throughput,Training data,Decision making,Satellite broadcasting,Data models
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要