AI-powered eVolution towards opEn and secuRe edGe architEctures

Resultado final

Initial design of VERGE solutions for security, privacy and trustworthiness for AI

This report will present the initial design of the solutions for secure and trustworthy AI in the VERGE edge computing architecture. This will include the initial formulation and assessment of the solutions against security and privacy attack threats, the DLT solutions, including blockchain, to enable data sharing in massive XR networks and the solutions for explainable, safe and causal RL models.

Report on VERGE’s open dataspace (v1)

Describes all the measurements that will be planned in VERGE. Reports the specific measurements available in VERGE’s open dataspace at the time of writing.

First report on VERGE edge intelligence and network management

This document will gather the preliminary design of the AI for edge solutions envisioned by VERGE. It will describe the AI technical and operational requirements, the demanded input metrics as well as the definition of the outputs, and the measurable KPIs that will be used for assessing the distinct solutions. The document will also describe how WP3 solutions will interconnect with WP2, and what interfaces would be needed to gather data and implement action policies.

First report on VERGE Edge4AI design

This document will present the initial design of the Edge4AI proposed in VERGE. It will first describe the programming models and practices selected for the distribution and parallelisation of application and network function workflows. Then a description of the edge4AI software components operating in isolation will be presented, whereas a first specification of the required interfaces for the integrations among them will be defined. Finally, an initial version of the cognitive framework will be delivered, covering a limited amount of provided metrics and functionalities.

Publicaciones

A Tutorial on the Characterisation and Modelling of Low Layer Functional Splits for Flexible Radio Access Networks in 5G and Beyond

Autores: J. Pérez-Romero, O. Sallent, A. Gelonch, X. Gelabert, B. Klaiqi, M. Kahn, D. Campoy
Publicado en: IEEE Communications Surveys & Tutorials, Edición Vol.25, No. 4, 2023, ISSN 1553-877X
Editor: IEEE
DOI: 10.1109/COMST.2023.3296821

On the Design of a Network Digital Twin for the Radio Access Network in 5G and Beyond

Autores: I. Vilà, O. Sallent, J. Pérez-Romero
Publicado en: Sensors, Edición Vol. 23, 1197, 2023, ISSN 1424-8220
Editor: MDPI
DOI: 10.3390/s23031197

TENET: a new hybrid network architecture for adversarial defense

Autores: Ö. F. Tuna, F. O. Catak, M. T. Eskil
Publicado en: International Journal of Information Security, Edición Vol. 22, 2023, ISSN 1615-5270
Editor: Springer
DOI: 10.1007/s10207-023-00675-1

Deep Learning-based Algorithm for Optimizing Relay User Equipment Activation in 5G Cellular Networks

Autores: J. J. Hernández-Carlón, J. Pérez-Romero, O. Sallent, I. Vilà, F. Casadevall
Publicado en: IEEE Transactions on Vehicular Technology, Edición Early access, 2023, ISSN 1939-9359
Editor: IEEE
DOI: 10.1109/TVT.2023.3328057

Wireless Time-Triggered Federated Learning with Adaptive Local Training Optimization

Autores: X. Zhou, Y. Deng, H. Xia, S. Wu
Publicado en: IEEE INFOCOM 2023 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2023, ISSN 2833-0587
Editor: IEEE
DOI: 10.1109/INFOCOMWKSHPS57453.2023.10226087

Enabling Innovation through VERGE's Open Data Space based on 5G Network

Autores: S. Kosu, G. Kalem
Publicado en: "Wireless World Research Forum Meeting 50 (WWRF #50)", 2024
Editor: WWRF

The Use Case of Beyond-5G and Edge Computing for XR-driven Collaborative Design

Autores: G. Kalem, M. A. Durmaz, I. Güzel, G. Kesik, C. Gordy
Publicado en: "Wireless World Research Forum Meeting 49 (WWRF #49)", 2023
Editor: WWRF

Expanding Edge Computing deeper into Beyond 5G Radio Access Networks

Autores: I. Vilà, O. Sallent, J. Pérez-Romero
Publicado en: 9th IEEE Conference on Network Softwarization - 2nd International Workshop on Edge Network Softwarization (ENS), 2023, ISSN 2693-9789
Editor: IEEE
DOI: 10.1109/NetSoft57336.2023.10175479

A Flexible, Efficient and Robust Method for AI-driven Power Control in D-MIMO

Autores: Ö. F. Tuna, F. E. Kadan
Publicado en: 2023 IEEE International Mediterranean Conference on Communications and Networking (MeditCom), 2023, ISBN 979-8-3503-3373-2
Editor: IEEE
DOI: 10.1109/MeditCom58224.2023.10266651

Causal Policy Gradient for End-to-End Communication Systems

Autores: S. Shirodkar, S. Banerjee
Publicado en: IEEE 16th International Conference on COMmunication Systems & NETworkS (COMSNETS), 2024, ISSN 2155-2509
Editor: IEEE
DOI: 10.1109/COMSNETS59351.2024.10426936

On the use of Probabilistic Forecasting for Network Analysis in Open RAN

Autores: V. Kasuluru, L. Blanco, E. Zeydan
Publicado en: 2023 IEEE International Mediterranean Conference on Communications and Networking (MeditCom), 2023, ISBN 979-8-3503-3373-2
Editor: IEEE
DOI: 10.1109/MeditCom58224.2023.10266607

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