Research Article
Optimizing Spectrum Sensing for Cognitive Radio Networks to Limit Interference on Primary User
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 123 - Issue 12 |
| Published: August 2015 |
| Authors: Ramez Moh. Elaskary, Yasmine Fahmy |
10.5120/ijca2015903658
|
Ramez Moh. Elaskary, Yasmine Fahmy . Optimizing Spectrum Sensing for Cognitive Radio Networks to Limit Interference on Primary User. International Journal of Computer Applications. 123, 12 (August 2015), 1-6. DOI=10.5120/ijca2015903658
@article{ 10.5120/ijca2015903658,
author = { Ramez Moh. Elaskary,Yasmine Fahmy },
title = { Optimizing Spectrum Sensing for Cognitive Radio Networks to Limit Interference on Primary User },
journal = { International Journal of Computer Applications },
year = { 2015 },
volume = { 123 },
number = { 12 },
pages = { 1-6 },
doi = { 10.5120/ijca2015903658 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2015
%A Ramez Moh. Elaskary
%A Yasmine Fahmy
%T Optimizing Spectrum Sensing for Cognitive Radio Networks to Limit Interference on Primary User%T
%J International Journal of Computer Applications
%V 123
%N 12
%P 1-6
%R 10.5120/ijca2015903658
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Cognitive radio (CR) is an effective way to improve the utilization of spectrum resource. Spectrum sensing is playing an important role for finding free channels to be used by CR. One of the most critical issues in spectrum sensing is the interference on primary user (PU). In this work, a general optimal voting rule is studied to minimize the Bayes risk function in cooperative spectrum sensing. Furthermore, an algorithm to optimize the energy detection threshold for the CR users for any fusion rule is presented. On the other hand, an algorithm that determines the optimum fusion rule and optimum threshold that minimizes the false alarm probability while the missing probability is under constraint (bounded) is suggested.
References
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