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Midhaul transmission using edge data centers with split PHY processing and wavelength reassignment for 5G wireless networks

机译:使用边缘数据中心进行中途传输,并具有针对5G无线网络的拆分PHY处理和波长重新分配

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Distributed processing of edge data centers in a metropolitan area is considered to reduce the large data traffic load due to Cloud Radio Access Network (C-RAN) fronthaul digitized radio-over-fiber protocols. A dynamic PHY split strategy is examined for high-capacity optical Dense Wavelength Division Multiplexing (DWDM) based C-RANs with limited edge data center resources. A network performance simulation model is developed based on a regional optical network in the New York metropolitan area to evaluate the dynamic midhaul approach. The use of a midhaul network improves the network performance by reducing traffic congestion and enhancing wavelength channel utilization. Simulation results show a 45% reduction in the required optical capacity in our proposed adaptive midhaul network compared to a traditional CPRI fronthaul network.
机译:由于云无线电接入网络(C-RAN)前传数字化光纤无线电协议,大都市地区边缘数据中心的分布式处理被认为可以减少大数据流量负载。针对具有有限边缘数据中心资源的基于高容量光密集波分复用(DWDM)的C-RAN,研究了动态PHY拆分策略。基于纽约都会区的区域光网络开发了网络性能仿真模型,以评估动态中途方案。中途网络的使用通过减少流量拥塞和提高波长信道利用率来提高网络性能。仿真结果表明,与传统的CPRI前传网络相比,我们提出的自适应中传网络所需的光容量降低了45%。

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