Big dAta aNalYtics for radio Access Networks

Risultati finali

Report on mobile traffic demand multi-scale analytics

The report will describe the output of Task 12 Multiscale analytics for mobile service demands Details of T12 can be found in WP1 description

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Report on mobile traffic demand baseline analytics

The report will describe the output of Task 11 Basic analytics for regular and irregular structures in macroscopic mobile service demands Details of T11 can be found in WP1 description

Report on algorithms to geo-localise traffic to buildings

The report will describe the output of Task 21 Develop algorithms to geolocate in which building a UE is Details of T21 can be found in WP2 description

Pubblicazioni

Fast Detection of Cyberattacks on the Metaverse through User-plane Inference

Autori: Bütün, Beyza; Akem, Aristide Tanyi-Jong; Gucciardo, Michele; Fiore, Marco
Pubblicato in: Crossref, Numero 1, 2023
Editore: 2023 IEEE International Conference on Metaverse Computing, Networking and Applications
DOI: 10.1109/metacom57706.2023.00067

Showcasing In-Switch Machine Learning Inference

Autori: Akem Aritside; Bütün, Beyza; Gucciardo, Michele; Fiore, Marco
Pubblicato in: Crossref, Numero 3, 2022
Editore: 1st International Workshop on Native Network Intelligence
DOI: 10.1109/netsoft57336.2023.10175464

Demonstrating Flow-Level In-Switch Inference

Autori: Gucciardo, Michele; Akem, Aristide Tanyi-Jong; Bütün, Beyza; Fiore, Marco
Pubblicato in: Crossref, Numero 2, 2023
Editore: INFOCOM 2023
DOI: 10.1109/infocomwkshps57453.2023.10225967

Characterizing and Modeling Session-Level Mobile Traffic Demands from Large-Scale Measurements

Autori: André Felipe Zanella; Antonio Bazco-Nogueras; Cezary Ziemlicki; Marco Fiore
Pubblicato in: Crossref, Numero 2, 2023
Editore: Internet Measurement Conference. 2023
DOI: 10.1145/3618257.3624825

Stochastic Evaluation of Indoor Wireless Network Performance with Data-Driven Propagation Models

Autori: Bakirtzis, Stefanos; Wassell, Ian; Fiore, Marco; Zhang, Jie
Pubblicato in: Crossref, Numero 5, 2022
Editore: 2022 Globecom
DOI: 10.1109/globecom48099.2022.10001717

DeepRay: Deep Learning Meets Ray-Tracing

Autori: Bakirtzis, S; Qiu, K; Zhang, J; Wassell, I
Pubblicato in: Crossref, Numero 10, 2022
Editore: 16th European Conference on Antennas and Propagation
DOI: 10.23919/eucap53622.2022.9769203

Flowrest: Practical Flow-Level Inference in Programmable Switches with Random Forests

Autori: Akem Aristide Tanyi-Jong; Michele Gucciardo; Marco Fiore
Pubblicato in: Crossref, Numero 6, 2023
Editore: INFOCOM 2023
DOI: 10.1109/infocom53939.2023.10229100

Ray-Tracing Meets Deep Learning

Autori: Stefanos Bakirtzis, Kehai Qiu, Jie Zhang, Ian Wassell
Pubblicato in: 2022
Editore: EUCAP

Impact of Later-Stages COVID-19 Response Measures on Spatiotemporal Mobile Service Usage

Autori: A.F. Zanella, O.E. Martínez-Durive, S. Mishra, Z. Smoreda and M. Fiore
Pubblicato in: 2022
Editore: IEEE INFOCOM

Spatial and Temporal Exploratory Factor Analysis of Urban Mobile Data Traffic

Autori: Angelo Furno; André Felipe Zanella; Razvan Stanica; Marco Fiore
Pubblicato in: Crossref, Numero 1, 2024, ISSN 2948-135X
Editore: Data Science for Transportation
DOI: 10.1007/s42421-024-00089-y

Deep-Learning-Based Multivariate Time-Series Classification for Indoor/Outdoor Detection

Autori: Bakirtzis, S; Qiu, K; Wassell, I; Fiore, M; Zhang, J
Pubblicato in: instname:, Numero 4, 2022, ISSN 2327-4662
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/jiot.2022.3190555

Forecasting Network Traffic: A Survey and Tutorial With Open-Source Comparative Evaluation

Autori: Ferreira; Gabriel O.; Ravazzi; Chiara; Dabbene; Fabrizio; Calafiore; Giuseppe C.; Fiore; Marco
Pubblicato in: info:cnr-pdr/source/autori:Ferreira, Gabriel O. and Ravazzi, Chiara and Dabbene, Fabrizio and Calafiore, Giuseppe C. and Fiore, Marco/titolo:Forecasting Network Traffic: A Survey and Tutorial With Open-Source Comparative Evaluation/doi:10.1109%2FACCESS.2023.3236261/rivista:IEEE access/anno:2023/pagina_da:6018/pagina_a:6044/intervallo_pagine:6018–6044/volume:11, Numero 1, 2023, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2023.3236261

EM DeepRay: An Expedient, Generalizable, and Realistic Data-Driven Indoor Propagation Model

Autori: Bakirtzis, S; Chen, J; Qiu, K; Zhang, J; Wassell, I
Pubblicato in: Crossref, Numero 4, 2022, ISSN 1558-2221
Editore: IEEE Transactions on Antennas and Propagation
DOI: 10.1109/tap.2022.3172221

Expedient AI-assisted Indoor Wireless Network Planning with Data-Driven Propagation Models

Autori: Jie Zhang; Ian Wassell; Marco Fiore; Stefanos Bakirtzis
Pubblicato in: Crossref, Numero 3, 2024
Editore: IEEE Networks
DOI: 10.36227/techrxiv.22682650.v1

Pseudo Ray-Tracing: Deep Leaning Assisted Outdoor mm-Wave Path Loss Prediction

Autori: Qiu, K; Bakirtzis, S; Song, H; Zhang, J; Wassell, I
Pubblicato in: Crossref, Numero 8, 2022
Editore: IEEE Wireless Communications Letters
DOI: 10.1109/lwc.2022.3175091

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