S
Soumaya Cherkaoui
Researcher at Université de Sherbrooke
Publications - 175
Citations - 2146
Soumaya Cherkaoui is an academic researcher from Université de Sherbrooke. The author has contributed to research in topics: Vehicular ad hoc network & Computer science. The author has an hindex of 18, co-authored 158 publications receiving 1338 citations. Previous affiliations of Soumaya Cherkaoui include École nationale de l'aviation civile.
Papers
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Proceedings ArticleDOI
Electrical Load Forecasting Using Edge Computing and Federated Learning
Afaf Taïk,Soumaya Cherkaoui +1 more
TL;DR: This paper reports the first use of federated learning for household load forecasting and achieves promising results, using Tensorflow Federated on the data from 200 houses from Texas, USA.
Journal ArticleDOI
A Game Theory Based Efficient Computation Offloading in an UAV Network
TL;DR: This work provides a comprehensive proof for the existence of a Nash equilibrium and implements accordingly a distributed algorithm that converges to such an equilibrium and outperforms all the three approaches.
Journal ArticleDOI
Multi-Access Edge Computing: A Survey
TL;DR: The integration of MEC into a current mobile networks’ architecture as well as the transition mechanisms to migrate into a standard 5G network architecture are illustrated and an architectural framework for a MEC-NFV environment based on the standard SDN architecture is proposed.
Proceedings ArticleDOI
Queuing model for EVs charging at public supply stations
TL;DR: A model where vehicles communicate beforehand with the grid to convey information about their charging status, and a mathematical model of handling requests for charging vehicles at public charging station based on queuing theory are proposed.
Journal ArticleDOI
On 5G-V2X Use Cases and Enabling Technologies: A Comprehensive Survey
TL;DR: In this article, the authors provide a survey of the latest V2X use cases including requirements, and various 5G enabling technologies under consideration for vehicular communications, and provide an interesting mapping between the three 5G pillars and vehicle-to-everything use case groups.