Joint wideband spectrum sensing in frequency overlapping cognitive radio networks using distributed compressive sensing

The emerging paradigm of open spectrum market calls for quick, efficient and dynamic approach for spectrum sensing. Conventional spectrum sensing methods for cognitive radios are capitalized over the narrow band sensing without addressing the wideband spectrum sensing. In wideband networks, one by one scanning of spectrum is unattractive because of its complexity, agility constraints, and data acquisition cost. Existing wideband spectrum sensing schemes do not exploit the gain of joint sparsity in the frequency overlapping networks. In this paper, wideband spectrum sensing for frequency overlapping cognitive radio networks using the emerging compressive sensing paradigm and joint reconstruction is proposed. Simulation results verify the effectiveness of proposed joint spectrum sensing approach in jointly sparse frequency overlapping cognitive radio networks.