机译:多波束卫星系统中基于深度强化学习的波束跳跃算法
Beijing Univ Posts & Telecommun Sch Elect Engn Beijing 100876 Peoples R China;
Chinese Acad Sci Inst Software Beijing 100190 Peoples R China;
China United Network Commun Corp Network Technol Res Inst Beijing Peoples R China;
Markov processes; learning (artificial intelligence); optimisation; antenna radiation patterns; satellite antennas; telecommunication computing; telecommunication traffic; radiofrequency interference; multibeam satellite systems; transmission delay; long-term resource utilisation; BH illumination plan optimisation problem; partially observable Markov decision process; BHIP problem; DRL-BHIP algorithm; antenna radiation pattern; deep reinforcement learning-based beam Hopping algorithm; interbeam interference; ModCod constraints; traffic spatial feature; traffic temporal feature; artificial intelligence method;
机译:基于Multibeam卫星系统深增强学习的在线电力分配算法
机译:基于多目标深增强学习的下一代卫星宽带系统的动态梁跳跃方法
机译:智能网关多波束卫星系统中跳频用户下行链路的联合功率和带宽分配
机译:多波束卫星系统中波束跳变的深度学习
机译:多波束卫星:多个访问和切换问题。
机译:具有半扫描重建算法的多束场发射X射线系统
机译:智能网关中的光束跳跃用户下行链接的联合电源和带宽分配Multibeam卫星系统