Sequential dynamic resource allocation in multi-beam satellite systems:A learning-based optimization method

Multi-beam antenna and beam hopping technologies are an effective solution for scarce satellite frequency resources. One of the primary challenges accompanying with Multi-Beam Satellites(MBS) is an efficient Dynamic Resource Allocation(DRA) strategy. This paper presents a learning-based Hybrid-Action Deep Q-Network(HADQN) algorithm to address the sequential decision-making optimization problem in DRA. By using a parameterized hybrid action space,HADQN makes it possible to schedule the beam patte...     

低功率霍尔推力器束流发散和推力矢量偏心特性研究

为了准确掌握不同工况下混合励磁模式低功率霍尔推力器束流发散和推力矢量偏心特性，凭借自主设计和改进的一套快速评估霍尔推力器束流发散角和推力矢量偏角原位集成诊断装置，系统研究了推力器在不同阳极质量流率、磁场、电场下束流分布和推力矢量偏心特性的变化规律。结果表明，束流发散角随阳极质量流率（0.65mg/s~0.95mg/s）和磁场强度（112Gs~142Gs）的变化呈现负相关的特性。当阳极质量流率0.95mg/s，束流发散角降到29.1°（＜30°）。推力矢量偏角随阳极质量流率和磁场强度的变化分别存在极大值（1.19°）和极小值（0.91°）。束流发散角、推力矢量偏角在250V~330V放电电压范围内基本保持不变。