This paper proposes an algorithm that uses geospatial analytics and the muting of physical resources in next-generation base stations (BSs) to avoid interference between cellular (or terrestrial) and satellite communication (non-terrestrial) systems. The information exchange between satellite and terrestrial stations is minimal, but a hybrid edge cloud node with access to estimated satellite trajectories can enable these BSs to take proactive steps to avoid interference. To validate the superiority of our proposed algorithm over a conventional method, we show the performance of the algorithm using two measures: number of concurrent uses of Doppler corrected radio frequency resources and the sum-rate capacity of the BSs. Our algorithm not only provides significant sum-rate capacity gains in both directions enabling better use of the spectrum, but also runs in polynomial time, making it suitable for real-time interference avoidance.

翻译：本文提出了一种算法，利用地理空间分析和下一代基站对物理资源的静默处理，以避免蜂窝（或地面）通信系统与卫星通信（非地面）系统之间的干扰。卫星与地面站之间的信息交换极少，但一个能获取估计卫星轨迹的混合边缘云节点可使基站主动采取干扰避免措施。为验证所提算法相较传统方法的优越性，我们通过两个指标展示算法性能：多普勒校正射频资源的并发使用次数和基站的求和速率容量。该算法不仅能提供显著的求和速率容量增益（使两个方向的频谱利用更高效），且运行于多项式时间内，适用于实时干扰避免。