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Doctorate thesis defense of Kawther Hassine

Doctorate thesis defense on Janury 12th 2017 at 13H00 AM ,in Amphi I, Sup’Com.

Entitled :Performance Study of Future Wireless Networks IEEE 802.11 xy

Presented by :  Kawther Hassine 



Prof. Sihem Guemara

Sup’Com (Tunisia)




Reviewers :

Prof. YeQion Song

Université de Lorraine (France)


Prof. Kaouther Sethom

ENI Carthage (Tunisia)


Examiner :

Prof. Zied Choukair

Sup’Com (Tunisia)


Thesis Director :

Prof. Mounir Frikha

Sup’Com (Tunisia)


Guest :

Prof. Tijani Chahed

Télécom-Sud Paris (France)



The main objective of this dissertation is to provide network operators better ways to manage available resources in the context of a Wireless Local Area Network (WLAN). Whether radio or backhaul access is concerned, our purpose is to optimize resource allocation between different nodes of the same network.

At the MAC level, we proposed a new approach for frame aggregation in the context of VoIP traffic. This solution, based on the A-MPDU scheme, implies proper sizing of the aggregate frame. First, we fixed statically the aggregate frame size and we displayed network response in terms of delay and MAC efficiency. Related results opened the way for a dynamic aggregation scheme, where the aggregate frame size evolves with network occupancy. Measured results illustrated better delays and higher network efficiency compared to the static frame aggregation.

At the backhaul access level, we proposed a game theoretic approach for Available Backhaul Resource (ABR) allocation strategy. To do so, we split our APs into two categories: providers with spared backhaul capacity and beneficiaries in need of it. We modeled our system as a matching game. Then, we adopted the Deferred Acceptance (DA) algorithm as a solution for the matching problem. Such an approach ensured optimal and stable matching between both sides of APs along with higher throughput gain, balanced load and better spectral efficiency.

Ultimately, simulations results showed interesting contributions in terms of transmission rate, access speed compared to actual performance of wireless networks. In radio and backhaul levels, these solutions for optimized resource management led to better accessibility, coverage and reliability when it comes to end-to-end service quality.


AP backhaul aggregation, Deferred acceptance, MAC frame aggregation, Matching game, Network delay, Network efficiency, Throughput gain