Software Systems Lab
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Project Title: Learning for Cognitive Wireless Users

Cognitive Radio Networks (CRN) provide new horizons to the next generation of wireless communications. The CRN can adapt to the environment and act intelligently within the boundaries of the previously defined knowledge. In order to adapt to new situations it needs to modify its behavior in response to new situations. For that purpuse the CRN must learn. Learning requires some method for assessing the performance of the Cognitive Engine and, based on that assessment, the knowledge should be modified. In this project we modeled the learning mechanism of the CRN and proved its effectiveness.
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