Clustering algorithms for UAV placement in 5G and Beyond Networks

V. Kovalenko, A. Alzaghir, A. Volkov, A. Muthanna, A. Koucheryavy
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引用次数: 6

Abstract

The subject of the research is the integration of the technologies of unmanned aerial vehicles network into software-defined networks (SDN) and network virtualization functions NFV. Research method - analysis of standards and recommendations in the field of SDN, NFV technologies and the construction of UAV networks. Main results - the main advantages from the introduction of SDN and NFV technologies into the UAV network are presented, two ways of organizing the architecture of the UAV network with SDN technology support: when the Base Station performs the functions of the SDN controller, and when air balloons are used as SDN controllers. This paper also compared the technologies of software-defined networking and virtualization of network functions. Practical relevance - this paper provides a detailed description of the structure and application possibilities of UAV networks, functional schemes SDN and NFV. The network architectures presented in this paper using SDN controllers in the flying (air balloon) and ground (Base stations) segment are examples of the implementation of SDN technology in a UAV network.
5G及以上网络中无人机布局的聚类算法
研究课题是将无人机网络技术集成到软件定义网络(SDN)和网络虚拟化功能NFV中。研究方法——分析SDN、NFV技术和无人机网络建设领域的标准和建议。主要成果——介绍了将SDN和NFV技术引入无人机网络的主要优势,在SDN技术支持下组织无人机网络架构的两种方式:当基站执行SDN控制器的功能时,以及使用气球作为SDN控制器时。本文还对软件定义网络技术和网络功能虚拟化技术进行了比较。实用性-本文详细描述了无人机网络的结构和应用可能性,SDN和NFV的功能方案。本文提出的在飞行(气球)段和地面(基站)段使用SDN控制器的网络架构是在无人机网络中实现SDN技术的示例。
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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