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：本文提出一种利用地理空间分析及下一代基站物理资源静默的算法，以规避蜂窝（地面）与卫星通信（非地面）系统间的干扰。卫星与地面站间的信息交互极少，但通过访问卫星预估轨迹的混合边缘云节点，可使基站主动采取干扰规避措施。为验证所提算法相较于传统方法的优越性，我们采用两项指标评估算法性能：多普勒校正射频资源的并发使用次数与基站的总和速率容量。该算法不仅能在双向链路中实现显著的总和速率增益以提升频谱利用率，且其多项式时间复杂度使其适用于实时干扰规避场景。