首页> 外文期刊>Optik: Zeitschrift fur Licht- und Elektronenoptik: = Journal for Light-and Electronoptic >Resources scheduling for data relay satellite with microwave and optical hybrid links based on improved niche genetic algorithm
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Resources scheduling for data relay satellite with microwave and optical hybrid links based on improved niche genetic algorithm

机译:基于改进小生境遗传算法的微波与光混合链路数据中继卫星资源调度

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摘要

The formation of the Space-based Information System with the technology of high performance optical inter-satellite communication and the realization of global seamless coverage and mobile terminal accessing are the necessary trend of the development of optical and microwave hybrid communication. Considering the resources, missions and restraints of data relay satellite optical and microwave hybrid links system, a model of hybrid links resources scheduling is established and a scheduling algorithm based on an improved niche genetic algorithm is put forwarded. According to the multi-user-satellite, multi-time-window, multi-class-antenna and a number of missions with priority weight, the scheduling schemes are generated randomly to begin with and evaluated with the fitness functions. To obtain an optimal scheduling result, an improved niche genetic algorithm is adopted to optimize the scheduling schemes. The simulation result reveals that a satisfactory result is obtained and the improved niche genetic algorithm has advantages in both efficiency and performance in a scenario including a relay satellite with 2 optical antennas and 1 microwave antenna for user satellites connection, 8 user satellites with 64 missions. The simulation indicates that the model and the optimization algorithm are suitable for multi-user, multi-mission and multi-class-antenna hybrid communication recourses scheduling problem.
机译:利用高性能的星际光通信技术形成天基信息系统,实现全球无缝覆盖和移动终端接入,是光微波混合通信发展的必然趋势。考虑到数据中继卫星光微波混合链路系统的资源,任务和约束,建立了混合链路资源调度模型,提出了一种基于改进的小生境遗传算法的调度算法。根据多用户卫星,多时间窗口,多类天线和具有优先权重的多个任务,随机生成调度方案,以适应度函数开始并对其进行评估。为了获得最优的调度结果,采用改进的小生境遗传算法对调度方案进行优化。仿真结果表明,在具有2个光天线和1个用于用户卫星连接的微波天线的中继卫星,8个任务64个用户卫星的情况下,改进的小生境遗传算法在效率和性能上均具有优势。仿真表明,该模型和优化算法适用于多用户,多任务,多类天线混合通信资源调度问题。

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