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

机译:切片WiFi WLAN共享访问基础架构以增强超密集5G网络

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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.
机译:基于第五代(5G)的网络系统的兴起为当前网络基础架构的各个方面带来了空前的技术革命,以完全满足智能空间的高要求,为这种技术带来了前景。这项工作解决了在5G超密集网络(UDN)用例中利用WiFi WLAN共享技术潜力的挑战。我们研究网络功能虚拟化(NFV)和Fog计算等新兴5G技术的新补充方面,以设计独特的WiFi WLAN共享生态系统,以符合5G UDN关键要求。在最终的方法中,我们使Fog计算功能能够为WiFi WLAN共享基础架构提供支持,并遵循分片定义的方法,旨在通过定制,隔离和独立的构建基块,在同一基础架构的基础上,以前所未有的水平提供差异化​​的服务。该解决方案还使分片能够支持除网络功能以外的应用程序,从而通过与数据生产者实体的直接链接来寻求提供超低延迟率。通过在真实的实验室测试床上进行实验来进行概念验证,从而洞悉切片WiFi WLAN共享系统的可行性和适用性。

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