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Design methodologies and algorithms for survivable C-RAN

机译:可生存的C-RAN的设计方法和算法

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In centralized/cloud radio access networks (C-RANs), baseband units (BBUs) are decoupled from remote radio units (RRUs) and placed in BBU hotels. In this way baseband processing resources can be shared among RRUs, providing opportunities for radio coordination and cost/energy savings. However, the failure of a BBU hotel can affect a large number of RRUs creating severe outages in the radio segment. For this reason, the design of a resilient C-RAN is imperative. In this paper, an extension of the facility location problem (FLP) is proposed to find the placement of BBU hotels that guarantees survivability against single hotel failure while the delay is minimized. Different strategies are proposed based on heuristic and integer linear programming (ILP) to solve the survivable BBU location problem and optimizing the sharing of backup resources. The results compare the proposed methodologies in terms of the costs of the BBU placement by referring to different network topologies. The heuristic algorithm is shown to find solutions close to those obtained by the ILP, although evidencing different contributions that are suitably discussed.
机译:在集中式/云无线电接入网络(C-RAN)中,基带单元(BBU)与远程无线电单元(RRU)分离,并放置在BBU酒店中。这样,基带处理资源可以在RRU之间共享,从而为无线电协调和节省成本/能源提供了机会。但是,BBU酒店的故障可能会影响大量RRU,从而在无线电部分造成严重的中断。因此,必须设计弹性的C-RAN。在本文中,提出了设施位置问题(FLP)的扩展,以查找BBU酒店的位置,该位置可确保在避免单个酒店延误的同时最大程度地避免单个酒店故障的生存能力。针对启发式和整数线性规划(ILP)提出了不同的策略,以解决可生存的BBU定位问题并优化备份资源的共享。结果通过参考不同的网络拓扑比较了BBU放置成本方面的建议方法。展示了启发式算法,可以找到与ILP相似的解决方案,尽管它证明了适当讨论的不同贡献。

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