太赫兹科学与电子信息学报2024，Vol.22Issue(3)：261-268,8.DOI:10.11805/TKYDA2023439
基于Online-GRU信道预测的星上自适应功率控制方法
Satellite adaptive power control method based on Online-GRU channel prediction
摘要
Abstract
In response to the problems of resource waste and long propagation time delay in traditional satellite power control methods,this paper proposes a satellite adaptive power control method based on Online Gate Recurrent Unit(Online-GRU)channel prediction,which solves the cumulative error of offline prediction algorithms by updating network parameters through online training.The simulation results show that the proposed online training algorithm improves the prediction accuracy by 38.30％compared to offline algorithms,saves 63.21％of training time compared to Online Long Short Term Memory(Online-LSTM),and saves 55.74％of transmission power compared to the fixed transmission power method.At the same time,the proposed adaptive power control method has better robustness compared to the adaptive power control method based on ground timing feedback channel state.关键词
星上自适应功率控制/在线训练/在线-门控循环单元/信道预测Key words
on-sat adaptive power control/online training/Online Gate Recurrent Unit/channel prediction分类
信息技术与安全科学引用本文复制引用
施文军,朱立东..基于Online-GRU信道预测的星上自适应功率控制方法[J].太赫兹科学与电子信息学报,2024,22(3):261-268,8.基金项目
国家自然科学基金资助项目(62371098) （62371098）
