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Multi-Objective Function Splitting and Placement of Network Slices in 5G Mobile Networks

机译:5G移动网络中网络切片的多目标函数分裂与放置

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5G networks are expected to support various applications with diverse requirements in terms of latency, data rates and traffic volume. Because of this, the selection of the appropriate functional split still remains a challenging task, since a number of parameters have to be considered in order to make such a decision. In this paper, we explore two possible solutions. We propose a Mixed Integer Quadratically Constrained Programming (MIQCP) model for the efficient placement of Virtualized Network Function (VNF) chains in future 5G systems, with particular emphasis on different aspects of the functional split between the cloud platform and the radio access points. Then, we also express the placement problem as MaxSAT instance and provide formal assurance of policies by considering increasingly relevant scenarios where the radio access network (RAN) needs to support various slices. Hence, thorough analyses are performed and recommendation for split point between central cloud and distributed radio units are discussed in this paper.
机译:预计5G网络将在延迟,数据速率和业务量方面支持各种需求的各种应用。因此,选择适当的功能分流仍然是一个具有挑战性的任务,因为必须考虑许多参数以便做出这样的决定。在本文中,我们探索了两种可能的解决方案。我们提出了一个混合整数的二次限制编程(MIQCP)模型,用于在未来的5G系统中有效地放置虚拟化网络功能(VNF)链,特别强调云平台与无线电接入点之间的功能分裂的不同方面。然后,我们还将Playement问题作为MaxSAT实例表示,并通过考虑越来越多的相关方案来考虑无线电接入网络(RAN)需要支持各种切片的情况来提供正式保证。因此,在本文中讨论了彻底的分析,并在本文中讨论了中央云和分布式无线电单元之间的分裂点的推荐。

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