基于免疫和模拟退火混合算法的量子卫星资源调度策略
Quantum-Satellite Resource-Scheduling Strategy Based on Hybrid-Immunity and Simulated-Annealing Algorithm
党彩虹 1聂敏1
作者信息
- 1. 西安邮电大学通信与信息工程学院,陕西 西安 710121
- 折叠
摘要
通过将量子比特嵌入到卫星上,低轨道量子卫星能够实现高度安全的通信,保护信息免受窃听和篡改.当前量子卫星资源短缺,考虑利用候选量子卫星的剩余服务时间、信号强度来合理分配现有的量子卫星资源以保证终端用户正常的业务需求.同时,为了最大程度地降低X射线耀斑的干扰,构建了X射线耀斑干扰下的星地量子通信链路衰减模型,将量子卫星剩余服务时间、信号强度等决策属性,作为系统模型的目标函数,提出了基于免疫和模拟退火混合算法的量子卫星资源调度策略.结果显示,与未加以改进的免疫算法与模拟退火算法相比,该策略具有更好的收敛稳定性及负载均衡性,这对X射线耀斑干扰下量子卫星资源的高效利用及低轨道量子卫星切换具有一定的参考意义.
Abstract
By embedding quantum bits into satellites,low-orbit quantum satellites enable highly secure communications,thus protecting information from eavesdropping and tampering.Currently,quantum-satellite resources are few,and two decision-making attributes of candidate quantum satellites are prioritized,i.e.,service time and signal strength,to reasonably allocate the existing quantum-satellite resources such that the normal business requirements of end-users are satisfied.In this study,to minimize the interference of X-ray flares,a star-ground quantum-communication-link fading model under the interference of X-ray flares was constructed,and a quantum-satellite resource scheduling strategy based on a hybrid-immunity and simulated-annealing algorithm was proposed by combining the remaining service time of quantum satellites and their signal strengths based on three decision-making attributes,which were used as the objective function of the system model.The results show that the strategy offers better convergence stability and load balancing than the unimproved-immune and simulated-annealing algorithm,thus providing useful reference for the efficient utilization of quantum-satellite resources and the switching of low-orbit quantum satellites under the interference of X-ray flares.
关键词
量子卫星/X射线耀斑/资源调度/适应度函数Key words
quantum satellite/X-ray flare/resource scheduling/fitness function引用本文复制引用
出版年
2024
NETL
NSTL
万方数据