Optical Communications Through Low Orbit Satellites

J. Montero, M. Feliu, J. Bas
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Abstract

Current societal needs demand for global high-speed networks. Toward this regard, 3GPP has included in its release 17 Non-Terrestrial Networks (NTN). In order to meet the strict requirements of 6G networks, Very Low Earth Orbit (VLEO) and Low Earth Orbit (LEO) satellites will play a key role. Optical fibers can also be used for transmitting data at high speeds. Unfortunately, the refraction index of the optical fibers and the satellite altitude penalize them. So, this paper determines the transmission distance for which it is better to use optical fiber or satellite links. For a fair comparison in terms of bandwidth, it has been assumed that the LEO/VLEO satellites should be optical too. After that an algorithm has been developed to determine the best suitable regions for locating the ground station of an optical satellite. Specifically, it computes the degree of cloudiness of a certain geographic region. Given that the determination of such regions demands a large computational burden, it has been parallelized using OpenMP libraries for Python. The Iberian Peninsula, which images were taken by the METEOSAT satellite from EUMETSAT, has been considered as a paradigmatic case of study.
通过低轨道卫星进行光通信
当前社会对全球高速网络的需求。在这方面,3GPP在其版本中包含了17个非地面网络(NTN)。为了满足6G网络的严格要求,极低地球轨道(VLEO)和低地球轨道(LEO)卫星将发挥关键作用。光纤也可用于高速传输数据。不幸的是,光纤的折射率和卫星的高度对它们不利。因此,本文确定了使用光纤或卫星链路的传输距离。为了在带宽方面进行公平的比较,假设LEO/VLEO卫星也应该是光学的。在此基础上,提出了一种确定光学卫星地面站最佳定位区域的算法。具体来说,它计算某一地理区域的多云程度。考虑到这些区域的确定需要大量的计算负担,因此使用Python的OpenMP库将其并行化。欧洲气象卫星组织的气象卫星拍摄的伊比利亚半岛的图像被认为是一个典型的研究案例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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