We are excited to share our publication titled “Performance Evaluation of a Light-Tree Point-to-Multipoint Metro-Core Architecture in Correlated Traffic Scenarios”, presented at ONDM 2025.
This work investigates how a light-tree P2MP architecture (using coherent P2MP transceivers) performs when aggregators (spokes) in the metro-core network experience correlated traffic patterns. We developed an efficient heuristic algorithm for hub-transceiver placement and spoke-to-hub association, explicitly leveraging traffic correlation (positive, negative, and random) to optimise cost and hub utilisation. Simulation results show that the algorithm yields significant savings in hub transceiver count and cost across traffic scenarios.
Access the full paper here:https://opendl.ifip-tc6.org/db/conf/ondm2025/ondm2025/1571118074.pdf
We believe this paper will be valuable for network architects and optical-system designers looking to deploy next-generation metro-core P2MP networks with traffic variability and correlation in mind.
