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Novel Resource and Energy Management for 5G Integrated Backhaul/Fronthaul (5G-Crosshaul)

机译:5G综合回程/ Fronthaul(5G-Crosshaul)的新颖资源和能源管理

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The integration of both fronthaul and backhaul into a single transport network (namely, 5G-Crosshaul) is envisioned for the future 5G transport networks. This requires a fully integrated and unified management of the fronthaul and backhaul resources in a cost-efficient, scalable and flexible way through the deployment of an SDN/NFV control framework. This paper presents the designed 5G-Crosshaul architecture, two selected SDN/NFV applications targeting for cost-efficient resource and energy usage: the Resource Management Application (RMA) and the Energy Management and Monitoring Application (EMMA). The former manages 5G-Crosshaul resources (network, computing and storage resources). The latter is a special version of RMA with the focus on the objectives of optimizing the energy consumption and minimizing the energy footprint of the 5G-Crosshaul infrastructure. Besides, EMMA is applied to the mmWave mesh network and the high speed train scenarios. In particular, we present the key application design with their main components and the interactions with each other and with the control plane, and then we present the proposed application optimization algorithms along with initial results. The first results demonstrate that the proposed RMA is able to cost-efficiently utilize the Crosshaul resources of heterogeneous technologies, while EMMA can achieve significant energy savings through energy-efficient routing of traffic flows. For experiments in real system, we also set up Proof of Concepts (PoCs) for both applications in order to perform real trials in the field.
机译:Fronthaul和Reachshaul的整合集成了一个运输网络(即5G-Crosshaul),为未来的5G传输网络设想。这需要通过部署SDN / NFV控制框架,以成本高效,可扩展和灵活的方式进行完全集成和统一管理。本文介绍了设计的5G交叉架构,两个选定的SDN / NFV应用程序,针对成本高效的资源和能源使用:资源管理应用程序(RMA)和能源管理和监控应用(EMMA)。前者管理5G-交叉资源(网络,计算和存储资源)。后者是RMA的特殊版本,重点是优化能源消耗,最大限度地减少5G-Crosshaul基础设施的能量足迹的目标。此外,EMMA应用于MM波网网络和高速列车场景。特别是,我们将关键应用程序设计与其主要组件和彼此的交互以及控制平面呈现,然后我们提出了所提出的应用优化算法以及初始结果。第一个结果表明,所提出的RMA能够高效地利用异构技术的交叉资源,而EMMA可以通过节能路由交通流量的节能来实现显着的节能。对于实际系统中的实验,我们还为两个应用程序设置了概念(POC)的证据,以便在现场进行真实试验。

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