logo EDITE Ahlam BENCHEIKH
Identité
Ahlam BENCHEIKH
État académique
Thèse soutenue le 2016-12-12
Sujet: Gestion de mobilité dans les réseaux Femtocells
Direction de thèse:
Laboratoire:
Voisinage
Ellipse bleue: doctorant, ellipse jaune: docteur, rectangle vert: permanent, rectangle jaune: HDR. Trait vert: encadrant de thèse, trait bleu: directeur de thèse, pointillé: jury d'évaluation à mi-parcours ou jury de thèse.
Productions scientifiques
oai:tel.archives-ouvertes.fr:hal-01199686
Optimized Handoff with Mobility Prediction Scheme Using HMM for femtocell networks
International audience
In this paper, we propose a new approach for optimizing the handoff decision in femtocell networks using Hidden Markov Model. To do so, we formulate the handoff problem as an optimization problem whose objective is to find the best Femtocell Access Point (FAP) assignment strategy that minimizes the number of unnecessary handoffs while maintaining a good quality of wireless communications. We have used Hidden Markov Model prediction tools to predict the target FAP by observing the geographic positions of the mobile. To evaluate the effectiveness of our proposal, we conducted extensive simulations. Results show that our proposed approach minimizes the number of handoffs by up to 7 times and enhances the dwell time in the FAP by up to 42% in comparison with others handoff decision making strategies commonly used in related cellular modeling works.
2015 IEEE International Conference on Communications (ICC) https://hal.archives-ouvertes.fr/hal-01199686 2015 IEEE International Conference on Communications (ICC), Jun 2015, londres, United Kingdom. pp.3448 - 3453, <http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=7248858&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D7248858>. <10.1109/ICC.2015.7248858> http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=7248858&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D7248858ARRAY(0x7f54708fcd18) 2015-06-12
oai:hal.archives-ouvertes.fr:hal-01076578
Optimized handover algorithm for two-tier macro-femto cellular LTE networks
International audience
In the last few years, femtocells have gained a great deal of interest as an emerging wireless and mobile access technology to improve indoor coverage and network capacity. In such an environment, mobility management is one of the major concerns that may limit the wide deployment and adoption of such networks. In this paper, we investigate the handover procedure for the two-tier macro/femto LTE networks. An optimized handover algorithm with an efficient call admission control has been proposed and described. Our proposed scheme is mainly designed to reduce the number of unnecessary handovers and to maintain the communication quality during the handover. The choice of the femtocell target takes into account the direction of the mobile user, its velocity and the quality of the signal. Performance evaluation results show that our algorithm minimizes both the number of hand-in and the handover drop rate. Besides, the signal quality in terms of SINR after the hand-in is maintained higher than a fixed threshold, which maximizes the sojourn time of the mobile user within the selected femtocell.
Wimob IEEE 9th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), 2013 https://hal.archives-ouvertes.fr/hal-01076578 IEEE 9th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), 2013, Oct 2013, Lyon, France. 2013, <10.1109/WiMOB.2013.6673420>ARRAY(0x7f547096de60) 2013-10-07
oai:hal.archives-ouvertes.fr:hal-01380377
OHMP-CAC: Optimized handoff scheme based on Mobility Prediction and QoS constraints for femtocell networks
International audience
In this paper, we investigate intelligent handoff decisions in femtocell networks, with the goal of achieving a seamless femtocell-to-femtocell handoff procedure that minimizes unnecessary handoffs and provides a good quality of connection to mobile users. To this aim, we propose a promising handoff scheme called Optimized Handoff based on Mobility Prediction and Call Admission Control (OHMP-CAC). Our proposal is based on a next cell prediction module using an efficient Hidden Markov Model (HMM) predictor on one hand, and a Call Admission Control (CAC) algorithm with service differentiation for applications with and without QoS constraints, on the other hand. To gauge the effectiveness of our proposal, we conducted extensive simulations based on real human mobility traces. Results show that OHMP-CAC outperforms existing approaches in terms of the number of handoffs, the dwell time, and the handoff decision time, while providing a connection with excellent quality of signal to femtocell user equipments (UE).
2016 International Wireless Communications and Mobile Computing Conference (IWCMC) http://hal.upmc.fr/hal-01380377 2016 International Wireless Communications and Mobile Computing Conference (IWCMC), Sep 2016, Paphos, Cyprus. 2016, <10.1109>ARRAY(0x7f54709a1090) 2016-09-05
Soutenance
Thèse: Gestion de la mobilité dans les réseaux Femtocells
Soutenance: 2016-12-12
Rapporteurs: Lyes KHOUKHI    Sidi Mohammed SENOUCI