MIMO场景下的低轨卫星选星算法

Satellite selection algorithm for Low Earth Orbit satellites in MIMO scenarios

低轨(LEO)宽带星座卫星通信作为地面5G无线通信系统的重要补充,始终面临地面可视卫星数量大、传统选星算法计算复杂度高等难题。为实现高效的卫星分组选择算法,基于多输入多输出(MIMO)系统原理,以大尺度路径损耗模型为基础,结合递减卫星选择算法,从而以较低计算复杂度、更快收敛速度有效逼近最优容量性能。该算法在典型LEO星座系统构型下通过数值仿真得到了验证,为未来5G低轨卫星星座通信传输方案设计提供了一种参考思路。

Low Earth Orbit(LEO)broadband constellation satellite communication is an important supplement to the ground 5G wireless communication system,and it always faces the problems of large number of ground visible satellites and high computational complexity of traditional satellite selection algorithms.In order to achieve efficient satellite grouping selection algorithm,based on the principle of Multiple Input Multiple Output(MIMO)system,the large-scale path loss model is taken as the basis,combined with the decreasing satellite selection algorithm,so as to reduce the computational complexity and approach the optimal capacity performance with faster convergence speed effectively.The algorithm is verified by numerical simulation under the typical LEO constellation system configuration,and provides a reference for the future 5G low-orbit satellite constellation communication transmission scheme design.