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由于低轨道卫星星上功率和带宽资源有限,设计有效的资源分配方法具有重要的意义.基于此提出了一种低轨道星间功率带宽资源联合分配方法,提高了星间资源分配的公平性和网络业务承载能力.该方法应用地面站数目和星地链路存在时间刻画星间链路容量的比例,将星间资源分配问题归纳为非线性混合整数规划问题.通过引入动态可行域,定义二元变量更新操作来改进燕子群算法,用于优化模型求解.仿真得出卫星瞬时吞吐容量和瞬时网络容量变化具有周期性,并伴有随机波动,所提方法牺牲了网络容量,获取了星间资源分配的公平性.
Because of the limited power and bandwidth resources of LEO satellite, it is of great significance to design an effective resource allocation method.Based on this, a joint allocation method of low-band orbit power bandwidth resources is proposed, which improves the fairness of resource allocation between Network service carrying capacity.This method uses the ratio of the number of ground stations and the existence time of the star link to characterize the ratio of the inter-satellite link capacity, and reduces the resource allocation between stars into a nonlinear mixed integer programming problem. By introducing a dynamic feasible region, The variable swarm optimization is used to improve Swarm Swarm Optimization algorithm to solve the model optimization.The simulation results show that the instantaneous throughput capacity of the satellite and the transient network capacity change are cyclical and accompanied by random fluctuations.The proposed method sacrifices the network capacity and obtains the inter- Fairness of resource allocation.