Cognitive Radios in Cooperative Environment: Detection, Sensing and Clustering of Spectral Bands
The cognitive radio allows spectrum sharing between licensed users (primary users) and many unlicensed users (secondary users). The secondary users are only allowed to use a licensed spectrum in the absence of its rightful owner. Thus, the ability to accurately sense the presence of the rightful owners is highly essential. In this paper, a novel Cooperative Spectrum Sensing (CSS) approach to efficiently sense a wideband spectrum is introduced. This paper addresses two specific issues in CSS. The first issue is on dynamic detection of primary user's bands. A Dynamic Band Clustering (DBC) algorithm that uses K-means clustering technique is proposed in this paper. The proposed algorithm reduces the number of erroneous narrow sub-bands resulting from spurious noise.