A Machine Learning framework for Sleeping Cell Detection in a Smart-city IoT Telecommunications Infrastructure

no code implementations • 2 Oct 2019 • Orestes Manzanilla-Salazar, Filippo Malandra, Hakim Mellah, Constant Wette, Brunilde Sanso

To detect this kind of failure, we propose a Machine Learning (ML) framework based on the use of Key Performance Indicator (KPI) statistics from the BS under study, as well as those of the neighboring BSs with propensity to have their performance affected by the failure.

BIG-bench Machine Learning Binary Classification +1

Privacy-preserving classifiers recognize shared mobility behaviours from WiFi network imperfect data

no code implementations • 17 Jul 2018 • Orestes Manzanilla-Salazar, Brunilde Sansò

This paper proves the concept that it is feasible to accurately recognize specific human mobility shared patterns, based solely on the connection logs between portable devices and WiFi Access Points (APs), while preserving user's privacy.

Privacy Preserving