Exploiting Simu5G for generating datasets for training and testing AI models for 5G/6G network applications-Reference-Cited by-同舟云学术

Exploiting Simu5G for generating datasets for training and testing AI models for 5G/6G network applications

Published:2023-02 Issue: Volume:21 Page:101320
ISSN:2352-7110
Container-title:SoftwareX
language:en
Short-container-title:SoftwareX

Author:

Nardini Giovanni^ORCID,Noferi Alessandro,Ducange Pietro,Stea Giovanni

Funder

Horizon 2020 Framework Programme

Horizon 2020

European Commission

Ministero dell’Istruzione, dell’Università e della Ricerca

Publisher

Elsevier BV

Subject

Computer Science Applications,Software

Reference23 articles.

1. Corcuera Bárcena JL, Ducange P, Marcelloni F, Nardini G, Noferi A, Renda A, et al. Towards Trustworthy AI for QoE prediction in B5G/6G Networks. In: First international workshop on artificial intelligence in beyond 5G and 6G wireless networks. Padua, IT; 2022, p. 18–23.

2. Federated learning of explainable AI models in 6G systems: Towards secure and automated vehicle networking;Renda;Information,2022

3. Hexa-X project,2023

4. ETSI white paper (28) MEC in 5G networks,2018

5. Simu5G–an OMNeT++ library for end-to-end performance evaluation of 5G networks;Nardini;IEEE Access,2020

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