Dynamic Compressive Spectrum Sensing for Cognitive Radio Networks
dc.contributor.author | Yin, Wotao | |
dc.contributor.author | Wen, Zaiwen | |
dc.contributor.author | Li, Shuyi | |
dc.contributor.author | Meng, Jia (Jasmine) | |
dc.contributor.author | Han, Zhu | |
dc.date.accessioned | 2018-06-19T17:46:42Z | |
dc.date.available | 2018-06-19T17:46:42Z | |
dc.date.issued | 2011-01 | |
dc.date.note | January 2011 | |
dc.description.abstract | In the recently proposed collaborative compressive sensing, the cognitive radios (CRs) sense the occupied spectrum channels by measuring linear combinations of channel powers, instead of sweeping a set of channels sequentially. The measurements are reported to the fusion center, where the occupied channels are recovered by compressive sensing algorithms. In this paper, we study a method of dynamic compressive sensing, which continuously measures channel powers and recovers the occupied channels in a dynamic environment. While standard compressive sensing algorithms must recover multiple occupied channels, a dynamic algorithm only needs to recover the recent change, which is either a newly occupied channel or a released one. On the other hand, the dynamic algorithm must recover the change just in time. Therefore, we propose a least-squared based algorithm, which is equivalent to l0 minimization. We demonstrate its fast speed and robustness to noise. Simulation results demonstrate effectiveness of the proposed scheme. | |
dc.format.extent | 6 pp | |
dc.identifier.citation | Yin, Wotao, Wen, Zaiwen, Li, Shuyi, et al.. "Dynamic Compressive Spectrum Sensing for Cognitive Radio Networks." (2011) <a href="https://hdl.handle.net/1911/102179">https://hdl.handle.net/1911/102179</a>. | |
dc.identifier.digital | TR11-04 | |
dc.identifier.uri | https://hdl.handle.net/1911/102179 | |
dc.language.iso | eng | |
dc.title | Dynamic Compressive Spectrum Sensing for Cognitive Radio Networks | |
dc.type | Technical report | |
dc.type.dcmi | Text |
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