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Actualités de l'école

13/04/2017

Doctorate thesis defense of Rahma BOURAOUI




Doctorate thesis defense on April 13th 2017 at 09H00 AM ,in Amphi I, Sup’Com.


Entitled :Spectrum Sensing and Resource Allocation in Cognitive Radio Networks

Presented by : Rahma BOURAOUI 





Committee


Chair

Mr. Ridha BOUALLEGUE

Professor at Sup'Com, Tunisia

 

 

 

Examiner

Mr. Sofiane CHERIF

Professor at SUP'COM, Tunisia

   

Reviewers

Ms. Monia TURKI

Professor at ENIT, Tunisia

 

Mr. Slimane BEN SLIMANE

Professor at KTH Royal Institute of Technology, Sweden

 

Supervisor

Mr. Hichem BESBES

Professor at SUP'COM, Tunisia

 

Abstract


Cognitive radio has been proposed to solve the spectrum under-utilization issue and to promote efficient use of the latter. This technology enables users called secondary users to, opportunistically, access to the spectrum used by licensed users. Among the challenges that arise during the implementation of this concept is determining the spectrum availability based on spectrum sensing techniques and defining resource allocation algorithms in order to maximize the total throughput of the cognitive system while avoiding to generate harmful interference to the primary users. In this thesis, we have, first, studied different spectrum sensing techniques and we have proposed to improve the accuracy of detection using cooperative approaches based on censored energy detection. Besides, we proposed a new fusion rule that improves the detection accuracy based on users’ diversity. As well, several detection thresholds selection schemes are defined for more spectrum sensing reliability. Finally, a resource allocation algorithm is proposed to solve the spectrum access issue under various constraints most essential of which are the limitation of generated interference and consideration of an imperfect information about the spectrum availability.


Keywords


cognitive radio, cooperative spectrum sensing, censored energy detection, fusion rules, detection thresholds, resource allocation, interference threshold.