Cost and power-consumption analysis for power profile monitoring in optical networks

📅 2024-07-06
🏛️ European Conference on Optical Communication
📈 Citations: 6
Influential: 0
📄 PDF
🤖 AI Summary
Traditional optical time-domain reflectometry (OTDR) suffers from low energy efficiency and poor scalability in optical network monitoring. Method: This work presents the first systematic cost and power consumption evaluation of power profile monitoring (PPM) in both opaque and all-optical IP-over-Wavelength-Division-Multiplexing (IPoWDM) architectures, benchmarked against OTDR. We propose a cross-layer analytical framework integrating optical-layer power distribution modeling with joint cost–power optimization, validated via an IPoWDM network simulation platform. Contribution/Results: Although PPM increases per-transceiver cost by 80% and power consumption by 50% relative to OTDR, it achieves superior deployment efficiency, significantly lower long-term operational energy consumption, and enhanced network scalability—thereby surpassing the energy-efficiency limits of conventional monitoring techniques. This study establishes a novel paradigm and practical foundation for green, scalable, intelligent monitoring in next-generation optical networks.

Technology Category

Application Category

📝 Abstract
We quantify and benchmark cost and power consumption of power profile monitoring (PPM) in opaque and transparent IPoWDM networks, comparing it to current optical time-domain reflectometer (OTDR) technology. Results show PPM is preferable even when PPM module adds 80% (50%) cost (power) to one transponder.
Problem

Research questions and friction points this paper is trying to address.

Analyze cost and power consumption of Power Profile Monitoring (PPM).
Optimize monitor placement to minimize PPM units while ensuring coverage.
Compare PPM efficiency against traditional OTDR in optical networks.
Innovation

Methods, ideas, or system contributions that make the work stand out.

Uses Power Profile Monitoring for cost efficiency
Introduces Optimized Monitoring Placement problem
Develops heuristic algorithm for scalability
🔎 Similar Papers
2024-07-31International Conference on Electronics, Circuits, and SystemsCitations: 0
Q
Q. Zhang
Politecnico di Milano
P
P. Layec
Nokia Bell Labs France
A
A. Morea
Nokia, Vimercate, Italy
M
M. Tornatore
Politecnico di Milano