4 citations · 6 across the 8 of their papers we have counts for
8 papers
Automated Heuristic Design for Network Operations
Reza Namvar, José Gallego, Jose A. Ayala-Romero +4
Network operation relies on heuristics to solve many tasks rapidly and efficiently across the protocol stack. These heuristics are the result of thorough human-driven design rooted…
Optimizing Entanglement Distribution Protocols: Maximizing Classical Information in Quantum Networks
Ethan Sanchez Hidalgo, Diego Zafra Bono, Guillermo Encinas Lago +3
Large-scale quantum networks depend on the efficient distribution of entangled pairs between distant nodes. However, state-of-the-art solutions rely on restrictive operational assu…
Kairos: Energy-Efficient Radio Unit Control for O-RAN via Advanced Sleep Modes
J. Xavier Salvat Lozano, Jose A. Ayala-Romero, Andres Garcia-Saavedra +1
The high energy footprint of 5G base stations, particularly the radio units (RUs), poses a significant environmental and economic challenge. We introduce Kairos, a novel approach t…
TelecomRAG: Taming Telecom Standards with Retrieval Augmented Generation and LLMs
Girma M. Yilma, Jose A. Ayala-Romero, Andres Garcia-Saavedra +1
Large Language Models (LLMs) have immense potential to transform the telecommunications industry. They could help professionals understand complex standards, generate code, and acc…
MemorAI: Energy-Efficient Last-Level Cache Memory Optimization for Virtualized RANs
Ethan Sanchez Hidalgo, J. Xavier Salvat Lozano, Jose A. Ayala-Romero +3
The virtualization of Radio Access Networks (vRAN) is well on its way to become a reality, driven by its advantages such as flexibility and cost-effectiveness. However, virtualizat…
Fair Resource Allocation in Virtualized O-RAN Platforms
Fatih Aslan, George Iosifidis, Jose A. Ayala-Romero +2
O-RAN systems and their deployment in virtualized general-purpose computing platforms (O-Cloud) constitute a paradigm shift expected to bring unprecedented performance gains. Howev…
Risk-Aware Continuous Control with Neural Contextual Bandits
Jose A. Ayala-Romero, Andres Garcia-Saavedra, Xavier Costa-Perez
Recent advances in learning techniques have garnered attention for their applicability to a diverse range of real-world sequential decision-making problems. Yet, many practical app…
ML Approach for Power Consumption Prediction in Virtualized Base Stations
Merim Dzaferagic, Jose A. Ayala-Romero, Marco Ruffini
The flexibility introduced with the Open Radio Access Network (O-RAN) architecture allows us to think beyond static configurations in all parts of the network. This paper addresses…