Collaborative Spectrum Sensing from Sparse Observations in Cognitive Radio Networks



Journal Title

Journal ISSN

Volume Title


IEEE Journal on Selected Areas in Communications


Spectrum sensing, which aims at detecting spectrum holes, is the precondition for the implementation of cognitive radio (CR). Collaborative spectrum sensing among the cognitive radio nodes is expected to improve the ability of checking complete spectrum usage. Due to hardware limitations, each cognitive radio node can only sense a relatively narrow band of radio spectrum. Consequently, the available channel sensing information is far from being sufficient for precisely recognizing the wide range of unoccupied channels. Aiming at breaking this bottleneck, we propose to apply matrix completion and joint sparsity recovery to reduce sensing and transmission requirements and improve sensing results. Specifically, equipped with a frequency selective filter, each cognitive radio node senses linear combinations of multiple channel information and reports them to the fusion center, where occupied channels are then decoded from the reports by using novel matrix completion and joint sparsity recovery algorithms. As a result, the number of reports sent from the CRs to the fusion center is significantly reduced. We propose two decoding approaches, one based on matrix completion and the other based on joint sparsity recovery, both of which allow exact recovery from incomplete reports. The numerical results validate the effectiveness and robustness of our approaches. In particular, in small-scale networks, the matrix completion approach achieves exact channel detection with a number of samples no more than 50% of the number of channels in the network, while joint sparsity recovery achieves similar performance in large-scale networks.



Collaborative spectrum sensing, matrix completion, compressive sensing, joint sparsity recovery


Copyright 2011 IEEE Journal on Selected Areas in Communications. This is a pre-print version of a published paper that is available at: Recommended citation: Meng, Jia Jasmine, Wotao Yin, Husheng Li, Ekram Hossain, and Zhu Han. "Collaborative spectrum sensing from sparse observations in cognitive radio networks." IEEE Journal on Selected Areas in Communications 29, no. 2 (2011): 327-337. doi: 10.1109/JSAC.2011.110206. This item has been deposited in accordance with publisher copyright and licensing terms and with the author's permission.