Abstract:

A new dynamic spectrum access technology based on weighted multi-feature model clustering is presented to improve transmission quality for different users for cognitive wireless network.Once the weighted multi-feature model of channels is extracted, these channels suitable for the cognitive users are clustered into different spectrum pools with a multi-objective clustering algorithm.These channels in white pooling are priority to be accessed for cognitive users according to their services.Multiple feature combinations and dynamic spectrum simulations are completed to verify the efficiency of the proposed method.Analysis and simulation show that the channels can be classified according to performance more efficiently, and the access efficiency of channels can be improved.

Key words: cognitive radio, dynamic spectrum access, weighted multi-feature model, multi-objective clustering