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Centralized vs. distributed algorithms for resilient 5G access networks

机译:集中式与分布式算法,适用于弹性5G接入网络

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摘要

Cloud radio access networks (C-RANs), relying on network function virtualization and software-defined networking (SDN), require a proper placement of baseband functionalities (BBUs) to reach full coverage of served areas and service continuity. In this context, network resources can be shared and orchestrated to meet the flexibility required by a dynamically evolving environment. Different methodologies, based on analytical formulation or heuristic algorithms, can be applied to achieve suitable trade-offs among cost components. This paper considers both centralized and distributed algorithms to obtain BBU hotel placement in C-RAN and compares their performance, scalability and adaptability to evolving scenarios. As expected, the results obtained with the distributed approach are sub-optimal, but very close, in most cases, to the optimal solutions obtained with a centralized algorithm based on integer linear programming. In addition to off-loading the SDN orchestrator, the distributed approach, differently from the centralized one, is shown to be able to cope with the evolution of the C-RAN topology with limited incremental changes in the original placement. The limits of the centralized approach in terms of scalability that the distributed approach is able to overcome are also evidenced.
机译:云无线电接入网络(C-RANS),依赖于网络功能虚拟化和软件定义的网络(SDN),需要正确放置基带功能(BBUS),以达到服务区域和服务连续性的全面覆盖。在此上下文中,可以共享网络资源,以满足动态不断发展的环境所需的灵活性。可以应用基于分析制定或启发式算法的不同方法,以实现成本组件之间的合适权衡。本文考虑了集中式和分布式算法,以获得C-RAN的BBU酒店安置,并比较他们的性能,可扩展性和适应性方案。如所预期的,通过分布式方法获得的结果是次优,但在大多数情况下,以基于整数线性编程的集中算法获得的最佳解决方案。除了从加载SDN Orchestrator之外,分布式方法与中央分布式方式不同,显示能够应对C-RAN拓扑的演变,在原始放置中的有限增量变化。在可扩展性方面,在分布式方法能够克服的可扩展性方面的限制也会得到证明。

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