| Title | Efficient Sparse Spectrum Estimation for Cognitive Radios |
| Authors | Naveed Butt, Andreas Jakobsson |
| Alternative Location | http://dx.doi.org/10.1109/W..., Restricted Access |
| Publication | 2012 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), Proceedings of |
| Year | 2012 |
| Pages | 4 |
| Document type | Conference paper |
| Conference name | First IEEE International Workshop on Emerging Cognitive Radio Applications and algorithms (IEEE CORAL 2012) |
| Conference Date | 2012-06-25 |
| Conference Location | San Francisco, California,USA |
| Status | Published |
| Quality controlled | Yes |
| Language | eng |
| Publisher | IEEE |
| Abstract English | The emerging concept of cognitive radios offers a<br> way to use the limited radio-spectrum more efficiently by allowing<br> networks and nodes to adaptively vary their parameters. An<br> important element in the successful implementation of cognitive<br> radios is the ability to estimate the varying state of spectrum<br> usage in a wide-band channel quickly and at minimum cost.<br> In this work, we utilize a powerful non-convex optimization<br> approach to provide sparse and unbiased estimates of the<br> spectrum from limited non-uniformly sampled data. Simulation<br> results for a wide-band communication scenario show that<br> the noise floor is significantly reduced compared to other<br> commonly used approaches. This should help in reducing<br> the miss-identification of occupied and vacant sub-bands of<br> the spectrum, being a key requirement in spectrum sensing<br> cognitive radios. |
| Keywords | cognitive radios, sparsity, spectrum sensing, non-uniform sampling, DC programming, |
| ISBN/ISSN/Other | ISBN: 978-1-4673-1239-4 (online) |
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