低轨道卫星功率带宽资源联合分配方法

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.

Power and Bandwidth Joint Allocation Method for LEO Satellites

Onboard power and bandwidth of low earth orbit (LEO) satellite networks are limited， thus designing an efficient resource allocation method is of great significance. A power and bandwidth joint allocation method for LEO satellites was proposed， and improved the resource allocation fairness among satellites and network service carrying ability were improved. The ground stations number and user data links life time were used to describe proportional constraints of intersatellite links capacity， and satellite resources allocation problem was formulated as a nonlinear mixed integer programming problem. Swallow swarm optimization (SSO) was improved by introducing dynamic feasible region and defining binary variable update operation， then the optimization model was solved by using this method. Simulations demonstrate satellite instantaneous throughput capacity and network instantaneous capacity change periodically with random fluctuations. The method achieves the resource allocation fairness among satellites at cost of network capacity.