author = {E. Beck and C. Bockelmann and A. Dekorsy},
  year = {2018},
  month = {Sep},
  title = {Compressed Edge Spectrum Sensing for Wideband Cognitive Radios},
  volume = {26},
  publisher = {IEEE},
  pages = {1705-1709},
  URL = {https://new.eurasip.org/Proceedings/Eusipco/Eusipco2018/index.html},
  address={Rome, Italy},
  abstract={Free licensed spectral bands have become rare dueto the increasing number of wireless users and their demand forhigh data rates. Likewise, the static allocation of these bandsresults in an under-utilization of the spectrum. Cognitive Radio(CR) has emerged as a promising solution to the dilemma byallowing opportunistic users to transmit in the absence of licensedusers. Spectrum sensing is therefore the key component of CRand coexistence management in general. In order to detect asmuch transmission opportunities as possible, a large bandwidthhas to be monitored which according to Shannon-Nyquist ne-cessitates high sampling rates. For fast and accurate spectrumestimation, we propose a novel approach called CompressedEdge Spectrum Sensing (CESS) which exploits the sparsity ofpower spectrum edges and allows for sampling down to 6% ofNyquist without losses in the detection accuracy of occupied andunoccupied spectrum regions.},
  booktitle={26th European Signal Processing Conference (EUSIPCO 2018)}