output
20162026
most citedReal-time predictive maintenance for wind turbines using Big Data frameworks

195 citations

Showing cs.NIShow all

5 papers · 1 filter

cs.NI2026★ 24 cited

5G Configured Grant Scheduling for 5G-TSN Integration for the Support of Industry 4.0

Ana Larrañaga, M. Carmen Lucas-Estañ, Imanol Martinez +1

Factories are evolving towards digitalized data-based ecosystems under the paradigm of the Industry 4.0 where new industrial services allow the implementation of more robust, resil…

cs.NI2026★ 9 cited

Configured Grant Scheduling for the Support of TSN Traffic in 5G and Beyond Industrial Networks

M. Carmen Lucas-Estañ, Ana Larrañaga, Javier Gozalvez +1

5G and beyond networks can facilitate the digital transformation of manufacturing and support more flexible and reconfigurable factories with ubiquitous mobile connectivity. This r…

cs.NI2026★ 24 cited

An open-source implementation and validation of 5G NR Configured Grant for URLLC in ns-3 5G LENA: a scheduling case study in Industry 4.0 scenarios

Ana Larrañaga, M. Carmen Lucas-Estañ, Sandra Lagén +3

Factories are undergoing a digital transformation towards cost-efficient, zero-defect manufacturing, creating the need for communication networks capable of meeting stringent laten…

cs.NI2021★ 67 cited

IEEE 802.1AS Clock Synchronization Performance Evaluation of an Integrated Wired-Wireless TSN Architecture

Inaki Val, Oscar Seijo, Raul Torrego +1

Industrial control systems present numerous challenges from the communication systems perspective: clock synchronization, deterministic behavior, low latency, high reliability, fle…

cs.NI2020★ 10 cited

Fog to cloud and network coded based architecture: Minimizing data download time for smart mobility

Goiuri Peralta, Pablo Garrido, Josu Bilbao +2

Industry 4.0 applications foster new business opportunities but they also pose new and challenging requirements, such as low latency communications and highly reliable systems. The…