Sharp increase of video traffic is expected to account for the majority of traffic in future 5G networks. This paper introduces the\nSELFNET 5G project and describes the video streaming use case that will be used to demonstrate the self-optimising capabilities of\nSELFNET�s autonomic network management framework. SELFNET�s framework will provide an advanced self-organizing network\n(SON) underpinned by seamless integration of Software Defined Networking (SDN), Network Function Virtualization (NFV), and\nnetwork intelligence. The self-optimisation video streaming use case is going beyond traditional quality of service approaches to\nnetworkmanagement. A set of monitoring and analysis components will facilitate a user-oriented, quality of experience (QoE) and\nenergy-aware approach. Firstly, novel SON-Sensors will monitor both traditional network state metrics and new video and energy\nrelated metrics. The combination of these low level metrics provides highly innovative health of network (HoN) composite metrics.\nHoN composite metrics are processed via autonomous decisions not only maintaining but also proactively optimising users� video\nQoE while minimising the end-to-end energy consumption of the 5G network. This contribution provided a detailed technical\noverview of this ambitious use case.
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