A Novel Optimization Framework for C-RAN BBU Selection Based on Resiliency and Price

Mohammed Yazid Lyazidi, L. Giupponi, J. Mangues‐Bafalluy, N. Aitsaadi, R. Langar
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引用次数: 13

Abstract

As Mobile Network Operators (MNOs) are shifting towards Cloud- Radio Access Network (C-RAN), they have to upgrade their infrastructure to not only support higher processing capacities but also to be more resilient. We consider the problem where a MNO is faced with the choice of selecting virtualized Baseband Units (BBUs) from various cloud service providers, that are each characterized with distinct failure probabilities and prices. We propose to solve the BBU selection problem, formulated as an Integer Linear Program (ILP) subject to BBU capacity and virtualization cost using the Branch- and- Price algorithm. We present several schemes depicting which optimization goal the MNO can foster the most: BBU processing power minimization, resiliency, traffic handling or all. Simulation results demonstrate the good performance of our algorithm to solve the BBU selection problem for all schemes, while also emphasizing the advantages of a particular one that can realize more than 10% in virtualization cost savings.
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基于弹性和价格的C-RAN电池选择优化框架
随着移动网络运营商(mno)转向云无线接入网络(C-RAN),他们必须升级基础设施,不仅要支持更高的处理能力,还要更具弹性。我们考虑了MNO面临从各种云服务提供商中选择虚拟基带单元(BBUs)的问题,每个BBUs都具有不同的故障概率和价格。我们建议使用Branch- and- Price算法来解决BBU选择问题,该问题被描述为一个受BBU容量和虚拟化成本影响的整数线性规划(ILP)。我们提出了几个方案,描述了MNO最能促进的优化目标:BBU处理能力最小化、弹性、流量处理或所有。仿真结果表明,该算法能够很好地解决所有方案的BBU选择问题,同时也强调了某一方案的优势,该方案可以实现10%以上的虚拟化成本节约。
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