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Efficient Sparse Spectrum Estimation for Cognitive Radios

Butt, Naveed LU and Jakobsson, Andreas LU (2012) First IEEE International Workshop on Emerging Cognitive Radio Applications and algorithms (IEEE CORAL 2012) In 2012 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), Proceedings of
Abstract
The emerging concept of cognitive radios offers a

way to use the limited radio-spectrum more efficiently by allowing

networks and nodes to adaptively vary their parameters. An

important element in the successful implementation of cognitive

radios is the ability to estimate the varying state of spectrum

usage in a wide-band channel quickly and at minimum cost.

In this work, we utilize a powerful non-convex optimization

approach to provide sparse and unbiased estimates of the

spectrum from limited non-uniformly sampled data. Simulation

results for a wide-band communication scenario show that

the noise floor is significantly reduced compared to... (More)
The emerging concept of cognitive radios offers a

way to use the limited radio-spectrum more efficiently by allowing

networks and nodes to adaptively vary their parameters. An

important element in the successful implementation of cognitive

radios is the ability to estimate the varying state of spectrum

usage in a wide-band channel quickly and at minimum cost.

In this work, we utilize a powerful non-convex optimization

approach to provide sparse and unbiased estimates of the

spectrum from limited non-uniformly sampled data. Simulation

results for a wide-band communication scenario show that

the noise floor is significantly reduced compared to other

commonly used approaches. This should help in reducing

the miss-identification of occupied and vacant sub-bands of

the spectrum, being a key requirement in spectrum sensing

cognitive radios. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
cognitive radios, sparsity, spectrum sensing, non-uniform sampling, DC programming
in
2012 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), Proceedings of
pages
4 pages
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
First IEEE International Workshop on Emerging Cognitive Radio Applications and algorithms (IEEE CORAL 2012)
external identifiers
  • scopus:84866393166
ISBN
978-1-4673-1239-4 (online)
DOI
10.1109/WoWMoM.2012.6263757
language
English
LU publication?
yes
id
46057551-8919-4d11-b029-fbe9580b5eba (old id 3193703)
date added to LUP
2013-01-29 20:10:52
date last changed
2017-04-16 04:29:38
@inproceedings{46057551-8919-4d11-b029-fbe9580b5eba,
  abstract     = {The emerging concept of cognitive radios offers a<br/><br>
way to use the limited radio-spectrum more efficiently by allowing<br/><br>
networks and nodes to adaptively vary their parameters. An<br/><br>
important element in the successful implementation of cognitive<br/><br>
radios is the ability to estimate the varying state of spectrum<br/><br>
usage in a wide-band channel quickly and at minimum cost.<br/><br>
In this work, we utilize a powerful non-convex optimization<br/><br>
approach to provide sparse and unbiased estimates of the<br/><br>
spectrum from limited non-uniformly sampled data. Simulation<br/><br>
results for a wide-band communication scenario show that<br/><br>
the noise floor is significantly reduced compared to other<br/><br>
commonly used approaches. This should help in reducing<br/><br>
the miss-identification of occupied and vacant sub-bands of<br/><br>
the spectrum, being a key requirement in spectrum sensing<br/><br>
cognitive radios.},
  author       = {Butt, Naveed and Jakobsson, Andreas},
  booktitle    = {2012 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), Proceedings of},
  isbn         = {978-1-4673-1239-4 (online)},
  keyword      = {cognitive radios,sparsity,spectrum sensing,non-uniform sampling,DC programming},
  language     = {eng},
  pages        = {4},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {Efficient Sparse Spectrum Estimation for Cognitive Radios},
  url          = {http://dx.doi.org/10.1109/WoWMoM.2012.6263757},
  year         = {2012},
}