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Based on the vast and elastic cloud computing resource, a cloud-based cognitive radio access networking (C<sup>2</sup>-RAN) service model is studied in this work. Integrating the cross-layer C<sup>2</sup>-RAN functions of computing and spectrum resource sharing, channel and power allocation, as well as user scheduling and medium access control in a public(More)
A Cognitive Radio Cloud Network (CRCN) model is proposed for wireless communications in TV White Spaces (TVWS). Making use of the flexible and vast computing capacity of the Cloud, a database and a sparse Bayesian learning (SBL) algorithm are developed for cooperative spectrum sensing (CSS) and implemented on Microsoft's Windows Azure Cloud platform. A(More)
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