1 citations · 3 across the 6 of their papers we have counts for
6 papers
MoleNetwork: A tool for the generation of synthetic optical network topologies
Alfonso Sánchez-Macián, Nataliia Koneva, Marco Quagliotti +6
Model networks and their underlying topologies have been used as a reference for techno-economic studies for several decades. Existing reference topologies for optical networks may…
On the impact of VR/AR applications on optical transport networks: First experiments with Meta Quest 3 gaming and conferencing application
C. de Quinto, A. Navarro, G. Otero +10
With the advent of next-generation AR/VR headsets, many of them with affordable prices, telecom operators have forecasted an explosive growth of traffic in their networks. Penetrat…
A Comprehensive Guide to Combining R and Python code for Data Science, Machine Learning and Reinforcement Learning
Alejandro L. García Navarro, Nataliia Koneva, Alfonso Sánchez-Macián +1
Python has gained widespread popularity in the fields of machine learning, artificial intelligence, and data engineering due to its effectiveness and extensive libraries. R, on its…
A Queuing Envelope Model for Estimating Latency Guarantees in Deterministic Networking Scenarios
Nataliia Koneva, Alfonso Sánchez-Macián, José Alberto Hernández +2
Accurate estimation of queuing delays is crucial for designing and optimizing communication networks, particularly in the context of Deterministic Networking (DetNet) scenarios. Th…
Reinforcement-Learning based routing for packet-optical networks with hybrid telemetry
A. L. García Navarro, Nataliia Koneva, Alfonso Sánchez-Macián +3
This article provides a methodology and open-source implementation of Reinforcement Learning algorithms for finding optimal routes in a packet-optical network scenario. The algorit…
On optimizing Inband Telemetry systems for accurate latency-based service deployments
Nataliia Koneva, Alfonso Sánchez-Macián, José Alberto Hernández +1
The power of Machine Learning and Artificial Intelligence algorithms based on collected datasets, along with the programmability and flexibility provided by Software Defined Networ…