Slicing WiFi WLAN-Sharing Access Infrastructures to Enhance Ultra-Dense 5G Networking

Maxweel S. Carmo, Sandino Jardim, A. Neto, R. Aguiar, Daniel Corujo, Joel Rodrigues
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引用次数: 21

Abstract

The rise of 5th Generation (5G) based network systems provide the prospect for an unprecedented technological revolution in different aspects of current network infrastructures to fully satisfy the high demands of smart space. This work addresses the challenges that raise in exploiting the potential of WiFi WLAN-sharing technology in 5G Ultra-Dense Networking (UDN) use cases. We investigate new complementary aspects of emerging 5G technologies such as Network Function Virtualization (NFV) and Fog computing to design a unique WiFi WLAN-sharing ecosystem to allow complying with 5G UDN critical requirements. In the resulting approach, we empower WiFi WLAN-sharing infrastructures with Fog computing capabilities and follow a slice-defined approach, aiming to provide differentiated services at unprecedented levels, on top of the same infrastructure through customized, isolated and independent building blocks. The solution also enables slices to accommodate applications besides networking functions, seeking to provide ultra-low latency rates by leveraging direct linkage to data producer entities. A proof of concept was conducted by carrying out experiments in a real laboratory testbed, allowing insights into the feasibility and suitability of slicing WiFi WLAN-sharing systems.
切片WiFi wlan共享接入基础设施,增强超密集5G网络
基于第五代(5G)网络系统的兴起,为当前网络基础设施的不同方面提供了前所未有的技术革命前景,以充分满足智能空间的高需求。这项工作解决了在5G超密集网络(UDN)用例中利用WiFi wlan共享技术潜力所带来的挑战。我们研究了新兴5G技术的新的互补方面,如网络功能虚拟化(NFV)和雾计算,以设计一个独特的WiFi wlan共享生态系统,以满足5G UDN的关键要求。在最终的方法中,我们为WiFi wlan共享基础设施赋予雾计算能力,并遵循切片定义的方法,旨在通过定制的、隔离的和独立的构建块,在相同的基础设施之上,提供前所未有的差异化服务。该解决方案还使切片能够容纳除网络功能之外的应用程序,通过利用与数据生产者实体的直接链接,寻求提供超低延迟率。通过在真实的实验室测试台上进行实验,进行了概念验证,从而深入了解切片WiFi wlan共享系统的可行性和适用性。
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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