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Study of solutions against security threats in the context of cognitive radios

Details

Promotor:Scheers, Bart
Funding:TUN
Involved staff: Bart SCHEERS, Feten SLIMENI,
Start date:01 Sep 2015
Duration:48 months
Research unit:Radio Networks

Description

This thesis studies jamming and anti-jamming tactics using cognitive radio technology. This research is mainly based on Q-learning artificial intelligence algorithm and game theory models to deal with diverse jamming tactics. A Software Defined Radio/Cognitive Radio test bed architecture is used to develop, test and validate the proposed algorithm.