Models of Improving the Efficiency of Radio Communication Systems Using the Terrahert Range

V. Saiko, S. Toliupa, Volodymyr Nakonechnyi, M. Brailovskyi
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Abstract

The work is devoted to research in the direction of creating multi-position systems based on low-power transceivers for the construction of inter-satellite communication channels of the terahertz range of low-orbit satellite systems with a “distributed satellite” architecture. Comprehensive studies of the possibilities of creating communication channels of the terahertz range for communication systems based on high-altitude air platforms are being carried out. Models for improving the efficiency of terahertz radio communication systems are proposed: an improved algorithm for searching for multibeam signals in radio systems based on high-altitude THz band airplanes and a simulation model for predicting the maximum length of the terahertz range wireless communication system U-IR-based. The use of X-ray diffraction in an advanced algorithm has simplified the implementation of multi-beam signal processing and significantly reduced the computational processing resource. The model on the basis of machine learning allows in laboratory conditions to investigate experimentally various architectures of construction of devices and systems of generation 5G/IoT and to work out knots of formation and processing of information signals and to define their best characteristics.
利用Terrahert波段提高无线电通信系统效率的模型
本课题主要研究基于低功率收发器的多位置系统,用于“分布式卫星”结构的低轨道卫星系统太赫兹范围星间通信信道的构建。目前正在全面研究为基于高空空中平台的通信系统建立太赫兹范围通信信道的可能性。提出了提高太赫兹无线电通信系统效率的模型:一种基于高空太赫兹波段飞机的无线电系统多波束信号搜索改进算法和一种基于u - ir的太赫兹范围无线通信系统最大长度预测仿真模型。在一种先进的算法中使用x射线衍射,简化了多波束信号处理的实现,大大减少了计算处理资源。基于机器学习的模型允许在实验室条件下实验研究5G/IoT设备和系统的各种构建架构,并确定信息信号的形成和处理节点,并定义其最佳特性。
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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