Spectragan: Spectrum based generation of city scale spatiotemporal mobile network traffic data

K Xu, R Singh, M Fiore, MK Marina, H Bilen… - Proceedings of the 17th …, 2021 - dl.acm.org
City-scale spatiotemporal mobile network traffic data can support numerous applications in
and beyond networking. However, operators are very reluctant to share their data, which is …

TransMUSE: Transferable traffic prediction in multi-service edge networks

L Xu, H Liu, J Song, R Li, Y Hu, X Zhou, P Patras - Computer Networks, 2023 - Elsevier
The Covid-19 pandemic has forced the workforce to switch to working from home, which has
put significant burdens on the management of broadband networks and called for intelligent …

Identifying common periodicities in mobile service demands with spectral analysis

C Marquez, M Gramaglia, M Fiore… - 2020 Mediterranean …, 2020 - ieeexplore.ieee.org
In this paper, we investigate the existence and prevalence of comparable dynamics in the
temporal fluctuations for the traffic demands generated by mobile applications. To this end …

Predicting Socio-Economic Well-being Using Mobile Apps Data: A Case Study of France

R Goel, A Furno, R Sharma - arXiv preprint arXiv:2301.09986, 2023 - arxiv.org
Socio-economic indicators provide context for assessing a country's overall condition. These
indicators contain information about education, gender, poverty, employment, and other …

Mimu: Mobile wifi usage inference by mining diverse user behaviors

Z Qin, Y Xian, F Zhang, D Zhang - Proceedings of the ACM on Interactive …, 2020 - dl.acm.org
Mobile WiFi is a newly emerging service in recent years, which provides convenience for
users to access online resources and increases revenues for operators via services such as …

Appshot: a conditional deep generative model for synthesizing service-level mobile traffic snapshots at city scale

C Sun, K Xu, M Fiore, MK Marina… - … on Network and …, 2022 - ieeexplore.ieee.org
Service-level mobile traffic data enables research studies and innovative applications with a
potential to shape future service-oriented communication systems and beyond. However …

Mapping mobile service usage diversity in cities

M Lenormand - arXiv preprint arXiv:2311.06269, 2023 - arxiv.org
The growing accessibility to mobile phone data, including Internet traffic information, has
enabled us over the past ten years to explore human behaviors and cities' structures and …

Spatial and Temporal Exploratory Factor Analysis of Urban Mobile Data Traffic

A Furno, AF Zanella, R Stanica, M Fiore - Data Science for Transportation, 2024 - Springer
Mobile data traffic is characterized by complex spatiotemporal fluctuations that are linked in
entangled ways to the mobility and diverse activities of the mobile network subscribers …

Characterizing human mobility patterns during covid-19 using cellular network data

N Ayan, NL Damasceno, S Chaskar… - 2021 IEEE 46th …, 2021 - ieeexplore.ieee.org
In this paper, our goal is to analyze and compare cellular network usage data from pre-
lockdown, during lock-down, and post-lockdown phases surrounding the COVID-19 …

[PDF][PDF] Deep Generative Models for Network Data Synthesis and Monitoring

C Sun - 2024 - core.ac.uk
Measurement and monitoring are fundamental tasks in all networks, enabling the
downstream management and optimization of the network. Although networks inherently …