7 papers
Introducing Large Language Models as the Next Challenging Internet Traffic Source
Nataliia Koneva, Alejandro Leonardo GarcÃa Navarro, Alfonso Sánchez-Macián +3
This article explores the growing impact of large language models (LLMs) and Generative AI (GenAI) tools on Internet traffic, focusing on their role as a new and significant source…
Analyzing Ultra-Low Inter-Core Crosstalk Fibers in Band and Space Division Multiplexing EONs
F. Arpanaei, C. Natalino, M. Ranjbar Zefreh +10
In the ultra-low inter-core crosstalk working zone of terrestrial multi-band and multi-core fiber (MCF) elastic optical networks (EONs), the ICXT in all channels of all cores remai…
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 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. GarcÃa 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…