多波束卫星通信系统流量模拟器
Traffic Simulator for Multibeam Satellite Communication Systems
AI总结：
本文开发了一个多波束卫星流量模拟器，融合人口、航空和海事数据研究时空流量分布，并提出波束覆盖划定与干扰建模算法，以支持卫星通信系统设计与资源管理。
摘要：
假设一个多波束卫星通信系统从零开始设计，旨在以最大的资源利用率服务特定区域，并令人满意地容纳预期的流量需求。这里的主要设计挑战是设置最优系统参数，如服务波束数量、波束方向和大小以及发射功率。本文旨在开发一种工具，即多波束卫星流量模拟器，以帮助应对这些根本性挑战，更重要的是，为大规模环境中卫星网络的时空流量模式提供理解。具体而言，通过处理可信数据集来研究流量需求分布，这些数据集包含三大类输入信息：(i) 宽带固定卫星服务（FSS）的人口分布，(ii) 航空卫星通信，以及 (iii) 海事服务的船舶分布。该流量模拟器除了时间、终端位置和流量需求之外，还结合了这些三维信息。此外，本工作考虑了现实的卫星波束方向图，因此提出了一种算法来划定每个卫星波束的覆盖边界，然后计算每个波束足迹处的异构流量需求。此外，还开发了另一种算法来捕捉卫星信道的固有属性和多波束干扰的影响。如今，数据驱动的卫星流量建模对于设计创新通信系统（例如预编码和波束跳变）以及制定高效的资源管理算法至关重要。
英文摘要：
Assume that a multibeam satellite communication system is designed from scratch to serve a particular area with maximal resource utilization and to satisfactorily accommodate the expected traffic demand. The main design challenge here is setting optimal system parameters such as number of serving beams, beam directions and sizes, and transmit power. This paper aims at developing a tool, multibeam satellite traffic simulator, that helps addressing these fundamental challenges, and more importantly, provides an understanding to the spatial-temporal traffic pattern of satellite networks in large-scale environments. Specifically, traffic demand distribution is investigated by processing credible datasets included three major input categories of information: (i) population distribution for broadband Fixed Satellite Services (FSS), (ii) aeronautical satellite communications, and (iii) vessel distribution for maritime services. This traffic simulator combines this three-dimensional information in addition to time, locations of terminals, and traffic demand. Moreover, realistic satellite beam patterns have been considered in this work, and thus, an algorithm has been proposed to delimit the coverage boundaries of each satellite beam, and then compute the heterogeneous traffic demand at the footprint of each beam. Furthermore, another algorithm has been developed to capture the inherent attributes of satellite channels and the effects of multibeam interference. Data-driven modeling for satellite traffic is crucial nowadays to design innovative communication systems, e.g., precoding and beam hopping, and to devise efficient resource management algorithms.
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。
