未来SDM组网时代的ROADM配置、管理与成本分析

Charalampos Papapavlou, Konstantinos Paximadis
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引用次数: 5

摘要

随着对更高传输容量的需求不断增加,光网络将很快超过可达到的最大容量,从而导致容量短缺。空分复用(SDM)旨在通过在多芯光纤(mcf)和/或多模光纤(mmf)中使用多个空间通道来解决这一问题。SDM有望提高总传输容量,有效降低传输成本。因此,应该部署集成的可扩展SDM组件,这些组件可以通过使用更少的硬件来降低成本。利用波长选择开关(WSS)在所有空间信道上联合切换波长通道,可以提高SDM的效率。在本文中,我们推导了各种SDM网络拓扑的成本分析。我们考虑了空间维度的数量、无颜色无方向无争议可重构光加丢复用器(cdc - roadm)的r度、空间集成收发器的数量,并计算了所需wss的最佳数量。我们的成本分析表明,我们可以减少SDM组件的使用数量,导致8度和16度网络节点的总成本分别降低33%和58%。由于未来的ROADM将作为黑盒使用,我们提出了DCMP协议,一种用于SDM骨干ROADM节点动态配置和管理的新协议。最后,我们研究了希腊未来SDM骨干网的拓扑结构,并进行了详细的成本分析,最大成本降低了13%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ROADM Configuration, Management and Cost Analysis in the Future Era of SDM Networking
As the demand for higher transmission capacities is increasing, optical networks will soon exceed the maximum achievable capacity leading to a capacity crunch. Space Division Multiplexing (SDM) aims to face this problem by using multiple spatial channels in Multi-Core Fibers (MCFs) and/or Multi-Mode Fibers (MMFs). SDM promises to increase the total transmission capacity and effectively reduce transmission costs. So, integrated scalable SDM components that can reduce costs by utilizing less hardware should be deployed. SDM efficiency can be enhanced by Jointly-Switching wavelength channels across all spatial channels, using an adapted Wavelength Selective Switch (WSS). In this paper we derive a cost analysis of various SDM network topologies. We consider the number of spatially dimensions, the R-degree of Colorless Directionless Contentionless Reconfigurable Optical Add-Drop Multiplexers (CDC-ROADMs), the number of spatially integrated transceivers and compute the optimal number of required WSSs. Our cost analysis shows that we can reduce the number of SDM components used, leading to an overall cost reduction of 33% and 58% for an 8-degree and 16-degree network node respectively. As future ROADMs will be available as black boxes, we propose the DCMP, a new Protocol for Dynamic Configuration and Management of SDM backbone ROADM nodes. Finally we study on a topology for a future SDM backbone network of Greece, and perform a detailed cost analysis resulting in a max cost reduction of 13%.
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