João Pedro Fonseca

Orcid: 0000-0003-4490-2746

Affiliations:
  • University of Aveiro, Portugal


According to our database1, João Pedro Fonseca authored at least 13 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2025
6G-INTENSE: Intent-Driven Native Artificial Intelligence Architecture Supporting Network-Compute Abstraction and Sensing at the Deep Edge.
IEEE Veh. Technol. Mag., March, 2025

2024
Vinia: Voice-enabled intent-based networking for industrial automation.
Comput. Sci. Inf. Syst., 2024

ULTRA-FAB5G: Unleashing the Potential of 5G for Industrial Digitalization.
Proceedings of the Joint European Conference on Networks and Communications & 6G Summit, 2024

Realizing Intent-Driven Network Management with TM Forum Standards.
Proceedings of the 29th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2024

Intent-Driven Deployment and Live Migration Using LLM.
Proceedings of the 29th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2024

2023
Demo: Enhancing Network Performance based on 5G Network Function and Slice Load Analysis.
Proceedings of the 24th IEEE International Symposium on a World of Wireless, 2023

Demo: Object detection under 5G-edge mobility.
Proceedings of the 24th IEEE International Symposium on a World of Wireless, 2023


OREOS: Demonstrating E2E Orchestration in 5G Networks with Open-Source Components.
Proceedings of the IEEE INFOCOM 2023, 2023

6G BRAINS Topology-aware Industry-grade Network Slice Management and Orchestration.
Proceedings of the 2023 Joint European Conference on Networks and Communications & 6G Summit, 2023

2022
Hands-on Interdomain network slicing framework and evaluation.
Internet Technol. Lett., 2022

2021
Multi-Domain Solutions for the Deployment of Private 5G Networks.
IEEE Access, 2021

Dynamic Interdomain Network Slicing for Verticals in the 5Growth Project.
Proceedings of the 2021 IEEE Conference on Network Function Virtualization and Software Defined Networks, 2021


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