Effect of noise uncertainty during spectrum sensing for cognitive radio ad hoc networks
by Debabrata Dansana; Prafulla Kumar Behera
International Journal of Data Analysis Techniques and Strategies (IJDATS), Vol. 15, No. 1/2, 2023

Abstract: Cognitive radio network is a technique where underutilised licensed spectrum allows opportunistic access to unlicensed secondary users. Different spectrum sensing algorithms are used to sense the presence or absence of primary licensed users in noisy and fading channel. This paper provides a comparative analysis of different spectrum sensing algorithms for cognitive radio network based on dynamic threshold and noise uncertainty. Spectrum sensing in cognitive radio network based on fixed threshold are sensitive to noise, therefore these are not efficient enough. The use of dynamic threshold improves performance of the spectrum detection without much computational complexity. Different computer simulations are provided for the dynamic threshold with and without noise uncertainty for spectrum sensing of cognitive radio network. The performance of the spectrum sensing techniques is evaluated by receiver operating characteristics (ROC) curves over additive white Gaussian noise (AWGN) and different fading channels (Rayleigh and Nakagami-m).

Online publication date: Fri, 28-Jul-2023

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Data Analysis Techniques and Strategies (IJDATS):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com