Midhaul transmission using edge data centers with split PHY processing and wavelength reassignment for 5G wireless networks
Midhaul transmission using edge data centers with split PHY processing and wavelength reassignment for 5G wireless networks
复制标题
使用边缘数据中心进行中程传输，并为 5G 无线网络提供分离 PHY 处理和波长重新分配
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
D. Kilper
中科院分区：
文献类型：
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作者：
Jiakai Yu;Yao Li;Mariya Bhopalwala;Sandip Das;M. Ruffini;D. Kilper
大都市区域中的边缘数据中心的分布式处理被认为是减少由于云无线电接入网络（C-RAN）前传数字化光纤无线电协议而导致的大数据流量负载。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分割策略。基于纽约大都市区的一个区域光网络，建立了一个网络性能仿真模型，以评估动态中距离方法。使用中途网络通过减少业务拥塞和提高波长信道利用率来改善网络性能。仿真结果表明，所需的光容量减少45%，在我们提出的自适应中途网络相比，传统的CPRI前传网络。
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.