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PhD graduated
Team : Phare
Departure date : 12/16/2016

Supervision : Rami LANGAR

Co-supervision : AZOUZ SAIDANE Leila, AYARI Mouna

Gestion de la mobilité dans les réseaux Femtocells

Femtocell network are deployed in the macrocell’s coverage to provide extended services with better performances. Femtocells have a short-range and low power transmissions. Each FAP supports a few number of connected users. Owing to these inherent features, one of the most challenging issues for the femtocellular network deployment remains the mobility management. In this thesis, we propose new handovers algorithms adapted to the characteristics of femtocells network. As a first part, we consider the direction of mobile user as a key parameter for the handover decision.To do so, we propose a new handover algorithm called OHMF. Its main purpose is the optimization of the list of FAPs candidates based on signal quality as well as the mobile direction to better choose the FAP target. After that, we propose an algorithm called OHDP based on the direction prediction using the linear regression.The idea behind this is to predict the future position of mobile based on its current and previous position. As a second part, we focus on mobility prediction problem to make an efficient handover decision. We propose a novel handoff decision algorithm called OHMP that uses HMM as a predictor to accurately estimate the next FAP that a mobile UE would visit,given its current and historical movement information. In order to adapt our solution to the characteristics of femtocells network, we propose a handover algorithm called OHMP-CAC based on HMM tool as a predictor, a proposed CAC and the availability of resources of the predicted FAP, SINR and the traffic type. In order to assess the efficiency of our proposals, all underlying algorithms are evaluated through simulations and real mobility traces.

Defence : 12/12/2016 - 14h - Site Jussieu - Salle Gérard Noguez - 26-00/101

Jury members :

M. Sidi Mohamed Sennouci, Professeur, Université de Bourgogne, France [Rapporteur]
M. Lyes Khoukhi, Enseignant/chercheur-HDR, Université de Troyes, France [Rapporteur]
M. Steven Martin, Professeur, Université Paris 11, France
Mme. Hakima Chaouchi, Professeur, Telecom Sud-Paris, France
Mme. Brigitte Kervella, Maitre de Conférences HDR, UPMC, France
Mme. Mouna Ayari, Maitre Assistante, ISIMM, Tunisie
M. Rami Langar, Professeur, UPEM – France
Mme. Leila Azouz Saidane, Professeur, ENSI, Tunisie

2013-2016 Publications

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