地面与非地面通信之间的非协调干扰避免
Uncoordinated Interference Avoidance Between Terrestrial and Non-Terrestrial Communications
AI总结：
本文提出一种利用地理空间分析和基站物理资源静默的算法，通过混合边缘云节点预测卫星轨迹，在极少信息交换下实现地面与非地面通信系统间的非协调干扰避免，双向提升总速率容量并支持多项式时间实时运行。
摘要：
本文提出一种算法，利用地理空间分析和下一代基站（BSs）中物理资源的静默来避免蜂窝（或地面）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，但具有访问估计卫星轨迹能力的混合边缘云节点能使这些基站采取主动步骤以避免干扰。为验证所提算法相对于传统方法的优越性，我们使用两项指标展示了算法性能：多普勒校正射频资源的并发使用次数和基站的总速率容量。我们的算法不仅在双向均提供显著的总速率容量增益以实现更好的频谱利用，而且运行时间为多项式时间，使其适用于实时干扰避免。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
