Data Traffic Modeling in RPAS/UAV Networks with Different Architectures

A. Grekhov, V. Kondratiuk, S. Ilnytska
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引用次数: 3

Abstract

Deploying of Fifth Generation and Beyond Fifth Generation (5G/B5G) wireless networks will require wider coverage, flexible connectivity, low latency, support for a large number of user devices, and more bandwidth. This article explores the paradigm that Remotely Piloted Air Systems (RPASs) or Unmanned Aerial Vehicles (UAVs) are integrated as a communication platform with cellular networks using radio access. It is important to know the possibilities and ways of such integration for effective interaction with RPASs. This paper studies the issues of ensuring the required Quality of Service (QoS) during heavy traffic and the choice of necessary data transmission modes for this. Models of RPAS communication channels with different architectures were created. The relationships between models’ performance and traffic parameters were obtained using the NetCracker Professional 4.1 software. The dependencies of the Average Utilization (AU) on the Transaction Size (TS) were analyzed. The effects of different bandwidths and the Bit Error Rate (BER) were studied. The traffic characteristics in all models were compared.
不同架构下RPAS/UAV网络的数据流量建模
部署第五代和超过第五代(5G/B5G)无线网络将需要更广泛的覆盖范围、灵活的连接、低延迟、支持大量用户设备和更多带宽。本文探讨了远程驾驶空中系统(RPASs)或无人驾驶飞行器(uav)作为使用无线接入的蜂窝网络的通信平台集成的范例。了解这种集成的可能性和方法对于与RPASs进行有效交互是很重要的。本文研究了在大流量情况下保证所需的服务质量(QoS)以及为此选择必要的数据传输模式的问题。建立了不同体系结构的RPAS通信通道模型。使用NetCracker Professional 4.1软件获取模型性能与流量参数之间的关系。分析了平均利用率(AU)对事务大小(TS)的依赖关系。研究了不同带宽和误码率对系统性能的影响。比较了各模型的交通特性。
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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