Designed a scalable, high-capacity Dense Wavelength Division Multiplexing (DWDM) transport system for a simulated 1,000 km fiber route using Cisco's Optical Network Planner. The project focused on optimizing spectral efficiency, minimizing signal degradation, and ensuring resiliency and reach across the optical backbone.
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π Design a scalable DWDM backbone capable of supporting both 100 Gbps and 400 Gbps wavelength services across long-haul fiber routes.
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π Evaluate optical performance metrics, including:
- Optical Power Budget
- OSNR (Optical Signal-to-Noise Ratio)
- Chromatic Dispersion
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π§ Simulate amplifier placement and span loss compensation for each fiber segment to ensure signal integrity across the entire route.
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π¦ Translate the design into vendor-aligned configurations suitable for real-world deployment (e.g., TL1 commands, ROADM planning, and interface parameters).
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π§ Cisco Optical Network Planner (ONP)
Used for professional-grade DWDM topology design and simulation. -
π GNPy (Gaussian Noise Python)
Open-source optical planner used to cross-verify span loss, OSNR, and reach. -
π¦ DWDM Line Cards & ROADMs (Simulated)
Emulated hardware configurations for realistic network modeling. -
π Excel + Python
Utilized for optical power budgeting, loss calculations, and data validation. -
π ITU Grid Wavelength Planning
Applied ITU-T G.694.1 standards to allocate and manage channel spacing. -
π TL1 Command Templates
Created for provisioning and simulating circuit turn-up in a vendor-aligned format.
Successfully installed and launched GNPy using Docker:
$ docker run -it --rm --volume $(pwd):/shared telecominfraproject/oopt-gnpy
root@bea050f186f7:/shared/example-data#GNPy empowers you to model and validate complex optical transport networks with features like:
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π Optical Channel Planning
Design wavelength routes across a DWDM network using standard ITU grid spacing. -
π Span Loss Calculation
Accurately compute fiber attenuation over long-haul spans with customizable parameters. -
π OSNR Degradation Analysis
Simulate the signal-to-noise ratio across spans to validate quality thresholds for 100G/400G. -
β‘ Amplifier Placement Optimization
Determine the optimal positioning and gain settings of EDFAs or Raman amplifiers.