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DOI: 10.14569/IJACSA.2013.040709
PDF

Collaborative Spectrum Sensing under Suburban Environments

Author 1: Aamir Zeb Shaikh
Author 2: Dr. Talat Altaf

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 4 Issue 7, 2013.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: Collaborative spectrum sensing for detection of white spaces helps in realizing reliable and efficient spectrum sensing algorithms, which results in efficient usage of primary spectrum in secondary fashion. Collaboration among cognitive radios improves probability of detecting a spectral hole as well as sensing time. Available literature, in this domain, uses Gudmundson’s exponential correlation model for correlated lognormal shadowing under both urban and suburban environments. However, empirical measurements verify that the suburban environment can better be modeled through double exponential correlation model under suburban environments in comparison to Gudmundson’s exponential correlation model. Collaboration among independent sensors provides diversity gains. Asymptotic detection probability for collaborating users under suburban environments using double exponential correlation model has been derived. Also, the Region of Convergence performance of collaborative detection is presented which agrees well with analytical derivations.

Keywords: collaborative spectrum sensing; suburban environment; asymptotic analysis; cognitive radio; opportunistic access

Aamir Zeb Shaikh and Dr. Talat Altaf, “Collaborative Spectrum Sensing under Suburban Environments” International Journal of Advanced Computer Science and Applications(IJACSA), 4(7), 2013. http://dx.doi.org/10.14569/IJACSA.2013.040709

@article{Shaikh2013,
title = {Collaborative Spectrum Sensing under Suburban Environments},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2013.040709},
url = {http://dx.doi.org/10.14569/IJACSA.2013.040709},
year = {2013},
publisher = {The Science and Information Organization},
volume = {4},
number = {7},
author = {Aamir Zeb Shaikh and Dr. Talat Altaf}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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