Luigi Fabiano
A Deep Learning Analysis of Internet Traffic Datasets for 5G MEC Dimensioning.
Rel. Claudio Ettore Casetti. Politecnico di Torino, Corso di laurea magistrale in Communications And Computer Networks Engineering (Ingegneria Telematica E Delle Comunicazioni), 2020
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Abstract: |
This thesis work consists in studying Deep Learning models in order to predict, as well as possible, the Internet traffic in a mobile network environment and use them in the 5G context for MEC (Multi-access Edge Computing) dimensioning. In particular, the first chapter gives a brief introduction about AI and Machine Learning. Basic concepts needed to understand the mechanism behind Deep Learning are provided through the second chapter. Third chapter supplies a description of used dataset. Analysis and results of DL models are presented in chapter four. Finally, the last chapter shows an application of the whole study for MEC dimensioning. |
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Relators: | Claudio Ettore Casetti |
Academic year: | 2019/20 |
Publication type: | Electronic |
Number of Pages: | 88 |
Subjects: | |
Corso di laurea: | Corso di laurea magistrale in Communications And Computer Networks Engineering (Ingegneria Telematica E Delle Comunicazioni) |
Classe di laurea: | New organization > Master science > LM-27 - TELECOMMUNICATIONS ENGINEERING |
Aziende collaboratrici: | UNSPECIFIED |
URI: | http://webthesis.biblio.polito.it/id/eprint/14396 |
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