Joint Power and Bandwidth Allocation Method Based on Immune Genetic Algorithm for Inter-satellite Links in Beidou Navigation Satellite System

Rui Xue, Cheng Zhao, Huaiyu Tang
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Abstract

Constructing the navigation constellation with inter-satellite links has become one of the important development trends for the Beidou navigation satellite system. Power and bandwidth are limited, but precious resources are on-board. How to reasonably distribute the two resources among ISLs to attain high channel capacity while considering both energy and operation efficiencies frequently catches the scholars' attention. Considering the insufficient global optimization ability of the greedy algorithm, which leads to a limited energy efficiency performance improvement, an allocation method based on immune genetic algorithm is proposed. This method uses a selection, crossover, and mutation structure to achieve a global search. It also improves the algorithm's convergence speed through an immune structure and achieves the improvement of the system energy efficiency. Simulation results show that the proposed method has achieved a better energy efficiency than the greedy algorithm in MEO scenarios with large service requirements and in GEO scenarios with a large number of links. The total system power consumption has decreased.
基于免疫遗传算法的北斗卫星导航星间链路功率带宽联合分配方法
构建星间链路导航星座已成为北斗卫星导航系统的重要发展方向之一。功率和带宽是有限的,但宝贵的资源是机载的。如何在兼顾能量和运行效率的前提下,在isl之间合理分配这两种资源以获得较高的信道容量,一直是学者们关注的问题。针对贪心算法全局优化能力不足导致能效性能提升有限的问题,提出了一种基于免疫遗传算法的分配方法。该方法采用选择、交叉和变异结构实现全局搜索。通过免疫结构提高了算法的收敛速度,实现了系统能效的提高。仿真结果表明,在服务需求较大的MEO场景和链路较多的GEO场景下,该方法取得了比贪心算法更好的能效。系统总功耗降低。
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