中国科学院大学学报2025，Vol.42Issue(3)：382-391,10.DOI:10.7523/j.ucas.2023.054
基于改进遗传算法的低轨通信卫星跳波束调度策略
Beam hopping scheduling strategy of LEO communication satellite based on improved genetic algorithm
摘要
Abstract
Low earth orbit(LEO)communication satellites can break through terrain constraints and work with 6G to build an integrated space-ground information network.In terms of the beam scheduling problem of satellites for fixed terminals on the ground,a beam scheduling strategy that can achieve dual optimization of interference and delay is proposed,considering that the uneven distribution of global user demands exists.The model with the optimization goal of minimizing the queuing delay and co-channel interference is constructed,combining with constraints such as transmit power as well as carrier-to-noise ratio.By means of step-by-step optimization,a beam-hopping scheme including demand clustering,time slot allocation and beam position matching is designed.When it comes to the interference optimization problem in the beam position matching process,a genetic algorithm-based chromosome crossover mechanism of"beam position self-crossover within a cluster"is proposed.The simulation results show that the improved genetic algorithm can reduce the co-channel interference by 32％to 58％compared with the other algorithms.Besides,the proposed strategy can schedule the beam within the resource allocation period while achieving dual optimization of delay and interference.关键词
低轨卫星/跳波束/调度策略/遗传算法Key words
LEO satellite/beam-hopping/scheduling strategy/genetic algorithm分类
电子信息工程引用本文复制引用
张盼盼,常家超,邹诚,李国通..基于改进遗传算法的低轨通信卫星跳波束调度策略[J].中国科学院大学学报,2025,42(3):382-391,10.基金项目
国家高层次人才特殊支持计划(WRJH19DH01)和上海市青年科技英才扬帆计划(19YF1446400)资助 （WRJH19DH01）
