Flexible architectures for optical transport nodes and networks

Gringeri, S.; Basch, B.; Shukla, Vishnu; Egorov, Roman; Xia, Tiejun J.

doi:10.1109/mcom.2010.5496877

Cited by 405 publications

(177 citation statements)

References 27 publications

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“…Also, in [18] a performance analysis and summary of the different switching engine technologies has been presented. The N × M WSS can be designed by connecting an N × 1 WSS with a 1 × M WSS in series or N number of 1 × M WSSs with M number of N × 1 WSSs in parallel [9,17]. However, these designs have drawbacks as wavelength contention is present in the former and the latter is not cost effective because a high number of 1 × M and N × 1 WSSs are required for high dimension switches.…”

Section: Review On Enabling Technologiesmentioning

confidence: 99%

“…Numerous studies have demonstrated the N × M WSS as a single component based on LCOS technologies [21,22]. Additionally, the N × M WSS without contention offers potential benefits such as supporting multi-flow application [23] and the realization of CDC ROADM architecture [9]. Fixed grid WSS-based ROADMs are restricted to 50GHz or 100 GHz channel spacing, therefore cannot meet the requirement of the recommended ITU-T grid G.694.1 for EONs [24].…”

Section: Review On Enabling Technologiesmentioning

confidence: 99%

See 1 more Smart Citation

Key performance indicators for elastic optical transponders and ROADMs: The role of flexibility

Peters

Hugues-Salas

Gunkel

et al. 2017

Optical Switching and Networking

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Flexible optical networks will provide the required service diversity to manage unpredictable traffic patterns and growth. However, a key challenge is to quantify flexibility in order to indicate the associated performance of individual components and subsystems required to support networks and correlate it with other figures of merit. Measurable key performance indicators will aid the process towards the design and deployment of cost effective and efficient optical networks. Moreover, the design and placement of network elements within a network influences the resultant network-wide flexibility and performance. In this paper, we highlight critical design parameters for key optical components, optical transmission and switching subsystems using flexibility as an additional figure of merit. We derive models to measure the flexibility of key optical components, optical transmission and switching subsystems based on entropy maximization. Using these models, we evaluate flexibility and design trade-offs of the presented enabling technologies with other key performance indicators such as spectral efficiency, lightpath reach, total capacity, normalized cost, connectivity and others. This study provides an advanced and more informed set of design rules that quantify and visualize the different degrees of flexibility of enabling technologies and associated performance based on required specification and/or functionality.

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Section: Review On Enabling Technologiesmentioning

confidence: 99%

Section: Review On Enabling Technologiesmentioning

confidence: 99%

Key performance indicators for elastic optical transponders and ROADMs: The role of flexibility

Peters

Hugues-Salas

Gunkel

et al. 2017

Optical Switching and Networking

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“…the nodal degree). Second, a choice has to be made with respect to the general optical switching capabilities [8]:…”

Section: B L1 Optical Cross Connectmentioning

confidence: 99%

Towards faster techno-economic evaluation of network scenarios via a modular network equipment database

Naudts

Verbrugge

Colle

2015

2015 Conference of Telecommunication, Media and Internet Techno-Economics (CTTE)

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Abstract-Techno-economic analysis is used to evaluate technological solutions in different business environments via a simulation based approach. Four steps can be observed in techno-economic analysis: scope definition, modeling of costs and revenues, evaluation of the different solutions and refinement of the analysis. During the scoping step, the boundaries of the analysis are determined, the problem is divided into sub problems and a list of input values is collected. The collection of complete and precise inputs is of the greatest importance as faulty data leads to unreliable results (garbage in garbage out). Today, due to the lack of a structured way of sharing input values, inputs need to be collected on a case-by-case basis. Although a valid approach, it remains a time intensive process prone to errors. This paper therefore proposes a modular network equipment database containing a set of generic equipment such as an IP/MPLS router, a DWDM node, a fiber link and a twisted pair cable. Each of these is represented as a modular block model and described by a set of attributes and a set of drivers which are used to chain one network equipment's block model to one or more others. A complex network can as such be modeled as a chain of equipment block models which are determined by a set of drivers. As a consequence, the collection of inputs can be fast tracked, the problem of missing inputs can be partially resolved and cross-case comparison becomes possible. To make things more concrete, we illustrate this approach via the evaluation of a network scenario in which a network service provider expands its network with an extra core location.

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“…Here n 1×N switches are needed for a 1×N WSS with n channels. For degree-N connectivity in a ring-to-ring interconnect a 1×N WSS can be used either, adding/dropping channels as a ROADM with one Express port and N-1 Drop the ports [14].To vary the fiber connectivity between the transceiver and networks access ports for a given direction and colorless, directionless realizations extra WSS's were deployed [15]. Optical Cross-ConnectOptical Cross-Connects (OXC) is one of the key network elements in the optical layer.…”

Section: Wavelength Selective Switches (Wss)-mentioning

confidence: 99%