将大气感知与通信整合用于NTNs中的资源分配
Integrating Atmospheric Sensing and Communications for Resource Allocation in NTNs
AI总结：
本文提出一种融合感知与通信的框架，通过感知准确估计通信链路的大气衰减，从而优化卫星选择和资源分配，提升地面用户的数据传输效率和公平性。
摘要：
非地面网络（NTNs）与低地球轨道（LEO）卫星星座整合到5G及未来网络中是实现真正全球连接的关键。LEO巨星座的一个显著特点是构成全球基础设施，具有可预测的动态特性，这使得可以预先分配无线电资源。然而，用于地面到卫星通信的不同频段受大气条件如降水的影响不同，这引入了高频通信链路衰减的不确定性。基于此，本文提出了在广域多层LEO卫星星座中应用集成感知与通信（ISAC）的有力案例。具体而言，我们提出了一种感知辅助通信框架和框架结构，不仅通过感知准确估计通信链路的大气衰减，还利用此信息确定最优服务卫星并高效分配资源用于地面用户的下行通信。结果表明，通过为感知分配足够的资源并联合解决关联和资源分配问题，相较于分别解决这些问题，平均吞吐量可增加59%，公平性可提高700%。
英文摘要：
The integration of Non-Terrestrial Networks (NTNs) with Low Earth Orbit (LEO) satellite constellations into 5G and Beyond is essential to achieve truly global connectivity. A distinctive characteristic of LEO mega constellations is that they constitute a global infrastructure with predictable dynamics, which enables the pre-planned allocation of radio resources. However, the different bands that can be used for ground-to-satellite communication are affected differently by atmospheric conditions such as precipitation, which introduces uncertainty on the attenuation of the communication links at high frequencies. Based on this, we present a compelling case for applying integrated sensing and communications (ISAC) in heterogeneous and multi-layer LEO satellite constellations over wide areas. Specifically, we propose a sensing-assisted communications framework and frame structure that not only enables the accurate estimation of the atmospheric attenuation in the communication links through sensing but also leverages this information to determine the optimal serving satellites and allocate resources efficiently for downlink communication with users on the ground. The results show that, by dedicating an adequate amount of resources for sensing and solving the association and resource allocation problems jointly, it is feasible to increase the average throughput by 59% and the fairness by 700% when compared to solving these problems separately.
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。
