Big dAta aNalYtics for radio Access Networks

Project Information

BANYAN

Grant agreement ID: 860239

DOI 10.3030/860239

Project closed

EC signature date 27 November 2019

Start date 1 December 2019

End date 30 April 2024

Funded under

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Total cost € 1 360 393,92

EU contribution € 1 360 393,92

Coordinated by

RANPLAN WIRELESS NETWORK DESIGN LTD
United Kingdom

Deliverables

Documents, reports (4)

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

Advertising vacancies

The ESR posts will have been advertised

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

Publications

Conference proceedings (9)

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

Author(s): Bütün, Beyza; Akem, Aristide Tanyi-Jong; Gucciardo, Michele; Fiore, Marco
Published in: Crossref, Issue 1, 2023
Publisher: 2023 IEEE International Conference on Metaverse Computing, Networking and Applications
DOI: 10.1109/metacom57706.2023.00067

Showcasing In-Switch Machine Learning Inference

Author(s): Akem Aritside; Bütün, Beyza; Gucciardo, Michele; Fiore, Marco
Published in: Crossref, Issue 3, 2022
Publisher: 1st International Workshop on Native Network Intelligence
DOI: 10.1109/netsoft57336.2023.10175464

Demonstrating Flow-Level In-Switch Inference

Author(s): Gucciardo, Michele; Akem, Aristide Tanyi-Jong; Bütün, Beyza; Fiore, Marco
Published in: Crossref, Issue 2, 2023
Publisher: INFOCOM 2023
DOI: 10.1109/infocomwkshps57453.2023.10225967

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

Author(s): André Felipe Zanella; Antonio Bazco-Nogueras; Cezary Ziemlicki; Marco Fiore
Published in: Crossref, Issue 2, 2023
Publisher: Internet Measurement Conference. 2023
DOI: 10.1145/3618257.3624825

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

Author(s): Bakirtzis, Stefanos; Wassell, Ian; Fiore, Marco; Zhang, Jie
Published in: Crossref, Issue 5, 2022
Publisher: 2022 Globecom
DOI: 10.1109/globecom48099.2022.10001717

DeepRay: Deep Learning Meets Ray-Tracing

Author(s): Bakirtzis, S; Qiu, K; Zhang, J; Wassell, I
Published in: Crossref, Issue 10, 2022
Publisher: 16th European Conference on Antennas and Propagation
DOI: 10.23919/eucap53622.2022.9769203

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

Author(s): Akem Aristide Tanyi-Jong; Michele Gucciardo; Marco Fiore
Published in: Crossref, Issue 6, 2023
Publisher: INFOCOM 2023
DOI: 10.1109/infocom53939.2023.10229100

Ray-Tracing Meets Deep Learning

Author(s): Stefanos Bakirtzis, Kehai Qiu, Jie Zhang, Ian Wassell
Published in: 2022
Publisher: EUCAP

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

Author(s): A.F. Zanella, O.E. Martínez-Durive, S. Mishra, Z. Smoreda and M. Fiore
Published in: 2022
Publisher: IEEE INFOCOM

Peer reviewed articles (4)

Spatial and Temporal Exploratory Factor Analysis of Urban Mobile Data Traffic

Author(s): Angelo Furno; André Felipe Zanella; Razvan Stanica; Marco Fiore
Published in: Crossref, Issue 1, 2024, ISSN 2948-135X
Publisher: Data Science for Transportation
DOI: 10.1007/s42421-024-00089-y

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

Author(s): Bakirtzis, S; Qiu, K; Wassell, I; Fiore, M; Zhang, J
Published in: instname:, Issue 4, 2022, ISSN 2327-4662
Publisher: 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

Author(s): Ferreira; Gabriel O.; Ravazzi; Chiara; Dabbene; Fabrizio; Calafiore; Giuseppe C.; Fiore; Marco
Published 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, Issue 1, 2023, ISSN 2169-3536
Publisher: 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

Author(s): Bakirtzis, S; Chen, J; Qiu, K; Zhang, J; Wassell, I
Published in: Crossref, Issue 4, 2022, ISSN 1558-2221
Publisher: IEEE Transactions on Antennas and Propagation
DOI: 10.1109/tap.2022.3172221

Other (2)

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

Author(s): Jie Zhang; Ian Wassell; Marco Fiore; Stefanos Bakirtzis
Published in: Crossref, Issue 3, 2024
Publisher: IEEE Networks
DOI: 10.36227/techrxiv.22682650.v1

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

Author(s): Qiu, K; Bakirtzis, S; Song, H; Zhang, J; Wassell, I
Published in: Crossref, Issue 8, 2022
Publisher: IEEE Wireless Communications Letters
DOI: 10.1109/lwc.2022.3175091