Where are the (cellular) data?
New generations of cellular networks are data oriented, targeting the integration of machine
learning and artificial intelligence solutions. Data availability, required to train and compare …
learning and artificial intelligence solutions. Data availability, required to train and compare …
Characterizing and modeling mobile networks user traffic at millisecond level
PF Pérez, C Fiandrino, J Widmer - … of the 17th ACM Workshop on …, 2023 - dl.acm.org
The availability of datasets has been instrumental to drive advances in several disciplines
like computer vision, image processing, and natural language processing. However, in the …
like computer vision, image processing, and natural language processing. However, in the …
Unveiling local patterns of child pornography consumption in France using Tor
Child pornography—better known as child sexual abuse material (CSAM)—represents a
severe form of exploitation and victimization of children, leaving the victims with emotional …
severe form of exploitation and victimization of children, leaving the victims with emotional …
A Zero Auxiliary Knowledge Membership Inference Attack on Aggregate Location Data
Location data is frequently collected from populations and shared in aggregate form to guide
policy and decision making. However, the prevalence of aggregated data also raises the …
policy and decision making. However, the prevalence of aggregated data also raises the …
FLEXIBLE: Forecasting Cellular Traffic by Leveraging Explicit Inductive Graph-Based Learning
From a telecommunication standpoint, the surge in users and services challenges next-
generation networks with escalating traffic demands and limited resources. Accurate traffic …
generation networks with escalating traffic demands and limited resources. Accurate traffic …
Modelling daily mobility using mobile data traffic at fine spatiotemporal scale
P Christidis, MV Gonzalo, M Radics - arXiv preprint arXiv:2311.09683, 2023 - arxiv.org
We applied a data-driven approach that explores the usability of the NetMob 2023 dataset in
modelling mobility patterns within an urban context. We combined the data with a highly …
modelling mobility patterns within an urban context. We combined the data with a highly …
Going Green in RAN Slicing
Network slicing is essential for transforming future telecommunication networks into versatile
service platforms, but it also presents challenges for sustainable network operations. While …
service platforms, but it also presents challenges for sustainable network operations. While …
FLEXIBLE: Forecasting Cellular Traffic by Leveraging Explicit Inductive Graph-Based Learning
From a telecommunication standpoint, the surge in users and services challenges next-
generation networks with escalating traffic demands and limited resources. Accurate traffic …
generation networks with escalating traffic demands and limited resources. Accurate traffic …
ANOVA Simultaneous Component Analysis for the Efficient Exploration of Massive Network Traffic
J Camacho - NOMS 2024-2024 IEEE Network Operations and …, 2024 - ieeexplore.ieee.org
The notion of network observability has been behind network monitoring and management
practices from the early times. In the era of Big Data, observability is not only a matter of …
practices from the early times. In the era of Big Data, observability is not only a matter of …
[PDF][PDF] Graph Neural Network-based Models for Mobile Network Traffic Prediction
From the perspective of telecommunication, next-generation networks will face several
challenges of a growing number of users and services, resulting in high-traffic generation …
challenges of a growing number of users and services, resulting in high-traffic generation …