My *idea* is to create a *separate toolbox* for the research community inclined towards Software defined Radio ( *Cognitive Radio *).
The main focus of this toolbox will be towards enhancement of Quality of Experience of CR users (secondary or unlicensed users) through Machine Learning based efficient *Dynamic Spectrum Access (DSA).* I intend to develop a *comprehensive Learning based DSA library* including - Artificial Neural Networks - Support Vector Machines - Recurrent Neural Networks - Unsupervised learning like K-means clustering This would help the CR research community to immediately design systems using blocks which would be provided like - Spectrum prediction - Spectrum modeling - Spectrum characterization This a short version of my idea for GSoC. It would be of utmost help if I could be guided as to how can I modify this idea to give it a final shape for my proposal. I know it is a bit early, but I would rather prepare from now onwards. Sincerely Sushil Iyer
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