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)
- 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:
https://lup.lub.lu.se/record/3193703
- author
- Butt, Naveed
LU
and Jakobsson, Andreas
LU
- organization
- publishing date
- 2012
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- cognitive radios, sparsity, spectrum sensing, non-uniform sampling, DC programming
- host publication
- 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)
- conference location
- San Francisco, California, United States
- conference dates
- 2012-06-25
- external identifiers
-
- scopus:84866393166
- ISBN
- 978-1-4673-1239-4 (online)
- DOI
- 10.1109/WoWMoM.2012.6263757
- language
- English
- LU publication?
- yes
- additional info
- The workshop IEEE CORAL 2012 was held in conjunction with the 2012 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) held in San Francisco, June 25-28, 2012.
- id
- 46057551-8919-4d11-b029-fbe9580b5eba (old id 3193703)
- date added to LUP
- 2016-04-04 11:13:26
- date last changed
- 2022-03-23 17:16:34
@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)}},
keywords = {{cognitive radios; sparsity; spectrum sensing; non-uniform sampling; DC programming}},
language = {{eng}},
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}},
doi = {{10.1109/WoWMoM.2012.6263757}},
year = {{2012}},
}