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BEZZINA Amira

PhD graduated
Team : Phare
Departure date : 12/25/2018
Supervision : Rami LANGAR
Co-supervision : SAIDANE Leila Azouz

Interference and Resource Allocation in Wireless Urban Network

Data traffic has been witnessing an incessant growth especially in urban wireless networks. Thus, operators need to provide high quality services with good coverage and low costs. Two interesting solutions can be considered to overcome this issue: the deployment of Multi-Radio Multi-Channel Wireless Mesh Networks or Smallcell deployment. New resource allocation and interference management schemes adapted for networks are proposed in this thesis. For MR-MC WMNs, we propose a new interference-aware game-theoretic algorithm called IGCA to manage the limited number of channels in order to alleviate the "a priori" interference between mesh routers by using a potential game. In the second part of this research work, we focus on resource allocation and power control problems in dense smallcell networks. Our ultimate goals are to alleviate the interference in downlink communications and make an efficient spectrum reuse when the urban mobile network is quite congested. The key idea is to find a trade-off between minimizing the transmit power of cells and maximizing the resource allocation with respect to an SINR threshold. To do so, we first propose a resource and power allocation algorithm called TCRPA that considers only smallcell users' demands. We formulate the optimization problem as a MILP and solve it using a cluster-based approach. Second, we extend this work to consider macro-users demands aside with the small-users ones in the defined optimization problem. We propose, TORPA, a new semi-centralized scheme, to solve the expanded MILP. Our simulation results show that our proposals succeed to meet our expectations.
Defence : 12/03/2018 - 09h45 - Site Jussieu 25-26/105
Jury members :
Nadjib Aitsaadi, Professeur, ESIEE Université Paris Est [Rapporteur]
Lyes Khoukhi, Professeur, Université de Technologie de Troyes (UTT) [Rapporteur]
Thi Mai Trang Nguyen, Maître de conférence, Sorbonnes Universités
Nadjib Achir, Maître de conférence ,Université de Paris 13
Ilham Fajjari, Ingénieur de recherche, Orange-Labs
Rami Langar, Professeur, Université Paris Est (UPEM) - Marne la valée
Leila Azouz Saidane, Professeur, ENSI- Université de la Manouba - Tunisie
Mouna Ayari, Maître de conférence Wisconsin-Madison - USA
Current position : -

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