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Time Series Irradiance Synthesizer for Optical GEO Satellite Downlinks in 5G Networks

机译:用于5G网络中光学GEO卫星下行链路的时间序列辐照度合成器

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摘要

Next generation 5G networks generate a need for broadband, low latency and power efficient backhauling and data-relay services. In this paper, optical satellite communications links, as an integrated component of 5G networks, are studied. More specifically, the Geostationary (GEO) satellite-to-ground optical communication link is investigated. Long-term irradiance statistics based on experimental measurements from the ARTEMIS program are presented and a new time series generator related to the received irradiance/power fluctuations due to atmospheric turbulence is reported. The proposed synthesizer takes into consideration the turbulence-induced scintillation effects that deteriorate the laser beam propagation, on the assumption of the Kolmogorov spectrum. The modeling is based on Rytov theory regarding weak turbulence conditions with the incorporation of first order stochastic differential equations. Summing up, the time series synthesizer is validated in terms of first and second order statistics with experimental results from the European Space Agency‘s ARTEMIS experimental optical downlink and simulated received power statistics for various weather conditions are presented using the proposed validated methodology. Some important conclusions are drawn.
机译:下一代5G网络产生了对宽带,低延迟和高能效回程以及数据中继服务的需求。本文研究了作为5G网络集成组成部分的光学卫星通信链路。更具体地说,研究了对地静止(GEO)卫星到地面的光通信链路。提出了基于ARTEMIS程序的实验测量值的长期辐照度统计数据,并报告了与由于大气湍流引起的辐照度/功率波动有关的新型时间序列发生器。在Kolmogorov光谱的假设下,拟议的合成器考虑了湍流引起的闪烁效应,该效应使激光束的传播恶化。该模型基于关于弱湍流条件的Rytov理论,并结合了一阶随机微分方程。总而言之,时间序列合成器通过欧洲航天局ARTEMIS实验光下行链路的实验结果,在一阶统计和二阶统计方面得到了验证,并使用提出的经过验证的方法对各种天气条件进行了模拟接收功率统计。得出一些重要的结论。

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