OC7 Multi-Domain Optical Modelling Tool aka MOMoT Anna Manolova Fagertun, DTU Fotonik Nicola Sambo, SSSUP/CNIT Martin Nordal Petersen, DTU Fotonik JRA1 Network Architecture Workshop November 12 th 2014
Outlook The MOMoT in a nutshell The consortium The project structure NREN survey The model and initial field-trial calculations The End 2 Connect | Communicate | Collaborate
MOMoT in a nutshell The vision of this project is to develop a modeling tool for the GÉANT community, which can estimate and predict AW performance and assess implications on existing traffic in the network path MOMoT: Multi-Domain Optical Modeling Tool (18 months duration) The part-goals: Investigate the need, interest and requirements for providing an Alien Wavelength (AW) service in the GÉANT community. Develop a modeling too l that will enable users to evaluate the feasibility of a potential AW path through one or more NRENs. The approach 3 phase project – Gathering needs, and requirements, designing specifications (Based on surveys ) – Designing the tool (model, input/output parameters, etc.) – Implementation, validation and tests 3 Connect | Communicate | Collaborate
The consortium DTU Fotonik Project coordinator Requirements specification Modeling tool design – Martin Nordal Petersen – mnpe@fotonik.dtu.dk – Anna Manolova Fagertun – anva@fotonik.dtu.dk Competences – Multi-domain networking, experience with AW deployment and modeling, know-how in using diverse modeling tools (networking and physical layer) CNIT / SSSUP (Scuola Superiore Sant'Anna) Modeling tool implementation Validation and verification – Nicola Sambo – n.sambo@sssup.it Competences – Experience with the design and development of optical network modelling of transparent optical. 4 Connect | Communicate | Collaborate
Alien Wavelengths and MOMoT What is an AW ? This is an optical signal, emitted by a third-party transponder, carried within the WDM line system together with “native” wavelength channels. Advantages: - Mix and match components and sharing – can reduce cost - All-optical services (where transparrency is requirred) 5 Connect | Communicate | Collaborate
What the tool will NOT provide Guaranteed performance metrics The tool will provide indications and guidance, not guarantees . Live-network parameter extraction The input will be as much as possible unified to one structure. Mapping every single deployed vendor’s equipment is at this point unrealistic This above can eventually be extensions if MOMoT becomes successful. The tool and its building blocks can be used for further developments . 6 Connect | Communicate | Collaborate
The MOMoT tool – High-level view The demand structure (e.g., source and destination nodes, physical parameters) will be fed to the tool to compute a path from source to destination along with the performance (Quality of Transmission ‘QoT’) of the lightpath and the performance impact on existing traffic. The path computation module utilizes a QoT estimator to compute the path and estimated signal quality. Demand structure MOMoT Computed path(s) and (input) Core Module QoT indicators Network Topology (nodes, links, physical parameters, existing lightpahts) 7 Connect | Communicate | Collaborate
The Demand structure The input parameters to the MOMoT core module are considered as the “Demand structure” input. It may include: Source and Destination node in the network AW frequency, bit-rate, input power, and other physical parameters Possibly other parameters obtained through discussion and interviews with NRENs/vendors Demand structure MOMoT Computed path(s) and (input) Core Module QoT indicators Network Topology (nodes, links, physical parameters, existing lightpahts) 8 Connect | Communicate | Collaborate
The MOMoT core module The MOMoT core engine includes the following building key blocks: Path computation : Using the information from existing lightpaths in the network, the network topology (nodes and links) the Path Computation module finds a path from source node to destination and its esimated QoT. QoT evaluation is responsible to compute the QoT of the computed path and its potential impact on the existing lightpaths. This block utilizes: – the analytical solutions to a set of equations, – analytical models for physical impairments : Amplifier Spontaneous Emission (ASE) noise, Chromatic dispersion (DC), and Cross Phase Modulation (XPM) – Option for lookup tables (offline computational tools) The models is implemented using Fortran and C++ A GUI / interface will be also designed for the tool 9 Connect | Communicate | Collaborate
MOMoT output MOMoT core module will compute the path(s) and the corresponding QoT indicator(s) The impact of the computed lightpath on the existing lightpaths can be also evaluated and reported as the output. The computed paths would be the shortest path or k-shortest path or in case of 1+1 protection a node/link disjoint path The QoT indicator gives a guidance on the impact of the AW path on the overall network performance ( RED – YELLOW - GREEN ) Demand structure MOMoT Computed path(s) and (input) Core Module QoT indicators Network Topology (nodes, links, physical parameters, existing lightpahts) 10 Connect | Communicate | Collaborate
Survey sent to NRENs - 11 question survey sent out aimed at CTOs - Sent to 47 of which 30 replied (64%) Do you know what an “Alien Wavelength” is? Where have you heard about Alien Wavelengths? Have you discussed Alien Wavelengths within your organization? Have you or your org participated in an Alien Wavelength trial or setup? If you have participated in or are planning to deploy an Alien Wavelength, would you find it useful to have a tool to help evaluate the feasibility of the deployment (e.g. signal quality, wavelength path, selection of wavelength). Have you received requests from clients in your network to establish an Alien Wavelength connection? Does your organization plan to deploy Alien Wavelength within your own network? Does your organization plan to deploy Alien Wavelengths to interconnect with neighboring domains via cross-border- fiber? Describe a potential application scenario of Alien Wavelength in your network, possibly based on customer request or your own needs. What do you think about the potential benefits of Alien Wavelength in your network? 11 Connect | Communicate | Collaborate
Survey results I Q1 - Do you know what an "Alien Wavelength" is? Q2 - Do you agree with this definition of what an Alien Wavelength is? Q4 - Have you discussed Alien Wavelengths within your organization? Q5 - Have you or your organization participated in an Alien Wavelength trial or setup? Q6 - If you have participated in or are planning to deploy an Alien Wavelength, would you find it useful to have a tool to help evaluate the feasibility of the deployment (e.g. signal quality, wavelength path, selection of wavelength)? Q7 - Have you received requests from clients in your network to establish an Alien Wavelength connection? Q8 - Does your organization plan to deploy Alien Wavelength within your own network? Q9 - Does your organization plan to deploy an Alien Wavelength to interconnect with neighboring domains via cross-border-fiber? 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Yes No Don't know/Other 12 Connect | Communicate | Collaborate
Survey results II “What do you think about the potential benefits of Alien Wavelength in your network?” 13 Connect | Communicate | Collaborate
Survey conclusion 86%, of the NREN management has heard of alien wavelength (AW) More than 60% have also discussed AWs within their origination 30% have already participated in alien wavelength trials 30% are planning to deploy alien wavelengths 30% have already received actual requests from clients Full details and analysis can be found in MOMoT milestone report M2.1 14 Connect | Communicate | Collaborate
The MOMoT model First evaluation of Amsterdam-Hamburg link Nicola Sambo CNIT / SSSUP, Pisa, Italy 15 Connect | Communicate | Collaborate
Link and estimation: BER? • Amsterdam-Hamburg • Spans: - fiber length and attenuation from SurfNet table - Amplifier at each span: N f =5 • Modulation format: PM-QPSK • Coherent detection • R : rate • P : launch power • Ch Spacing: 100GHz • BER estimation accounting for ASE and SPM - assumptions: ‣ CD and PMD are compensated by DSP ‣ 100GHz ch spacing enough to neglect XPM or consider it as worst-case margins ‣ Margins M to account for filtering effects, aging and fluctuations, other non- linear effects (e.g., XPM ). M has been set to 3dB (considered as an OSNR penalty) 16 Connect | Communicate | Collaborate
The model where: • I k (x): ordered-k modified Bessel’s function of the first kind • σ 2 NL : the variance of the non-linear phase noise • ρ | dB =OSNR| dB +10log 10 (B/R b ) +3 where: – OSNR| dB : the OSNR of the 100Gb/s signal considering both polarizations – B=12.5 GHz – R b =bit-rate split in two polarizations 17 Connect | Communicate | Collaborate
Model input parameters INPUTS • Launch power • Fibers: • Length, attenuation, dispersion parameter, PMD parameter, effective area • Amplifiers: • Noise figure, gain (fixed gain) • Node: • Node losses 18 Connect | Communicate | Collaborate
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