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Performance Evaluation of Backhaul Network in Cloud Radio Access Networks

机译:云无线电接入网中回程网络的性能评估

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As network operators thrive to increase the speed and capacity of their mobile communication networks to cope with the rapidly increasing rate in mobile data, new revolutionary techniques have become a must to achieve these goals without increasing their power consumption. One of the solutions is to integrate the Cloud Computing paradigm into the current Radio Access Networks to make use of its numerous advantages and especially pooled resources. The main concept behind Cloud Radio Access Network is pooling the baseband processing units at a centralized location through decoupling the baseband processing units from the remote radio heads. This paper targets evaluating the performance gain achieved from C-RAN architecture by implementing an OMNET++ simulation model for the C-RAN and the traditional RAN. Four aspects were evaluated in our study: power consumption, delay, number of processing units and throughput. The results obtained shows that at intermediate traffic loads the C-RAN provides lower power consumptions rates and reduction in the number of required processing units.
机译:随着网络运营商蓬勃发展以提高其移动通信网络的速度和容量,以应对移动数据的快速增长,新的革命性技术已成为在不增加功耗的情况下实现这些目标的必经之路。解决方案之一是将云计算范例集成到当前的无线访问网络中,以利用其众多优势,尤其是池化资源。云无线电接入网背后的主要概念是通过将基带处理单元与远程无线电头解耦,将基带处理单元集中在一个集中的位置。本文旨在通过为C-RAN和传统RAN实施OMNET ++仿真模型来评估从C-RAN架构获得的性能提升。我们的研究评估了四个方面:功耗,延迟,处理单元数量和吞吐量。获得的结果表明,在中等流量负载下,C-RAN提供了更低的功耗率并减少了所需处理单元的数量。

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