Nervion: a cloud native RAN emulator for core network evaluations

Jon Larrea, M. Marina, J. Merwe
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Abstract

With the mobile networks evolving towards a software-based architecture with 5G, the research community has proposed several alternative core designs to address the issues recognized with the 4G core network architecture. It is notable, however, that these proposals are evaluated in bespoke ways which do not allow evaluate other proposals or even standard-compliant core networks, presenting several limitations in terms of the number of devices and the network load patterns that can be generated. To this end, we present Nervion, a cloud-native RAN emulator for scalable and flexible core network evaluations. Nervion leverages a compute cluster via containerization to emulate a large number of standard-compliant UEs and eNBs/gNBs generating workloads along both the control- and data-plane with a high degree of customization. This demo highlights the features of Nervion via the evaluation of a 5G core network and serves as a guide on how to use the public profile of Nervion on the Powder platform.
Nervion:用于核心网络评估的云原生RAN模拟器
随着移动网络向基于软件的5G架构发展,研究界提出了几种替代核心设计,以解决4G核心网络架构所识别的问题。然而,值得注意的是,这些建议是以定制的方式进行评估的,不允许评估其他建议,甚至不允许评估符合标准的核心网络,这在设备数量和可以生成的网络负载模式方面提出了一些限制。为此,我们提出了Nervion,一个云原生RAN模拟器,用于可扩展和灵活的核心网络评估。nervon通过容器化利用计算集群来模拟大量符合标准的ue和enb / gnb,这些ue和enb / gnb在控制和数据平面上生成工作负载,具有高度的自定义性。该演示通过对5G核心网的评估,突出了Nervion的功能,并指导如何在Powder平台上使用Nervion的公共配置文件。
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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