Hybrid neural network training algorithm for spectrum sensing in cognitive radio networks
by P. Pavithra Roy; Mahankali Muralidhar
International Journal of Mobile Network Design and Innovation (IJMNDI), Vol. 6, No. 3, 2016

Abstract: Spectrum sensing in the cognitive radio networks has emerged as a highly gifted technique which has riveted the eagle eyes of the enthusiastic experimenters for the last few years. In the novel method, the Levenberg-Marquardt-based neural network is integrated with the most modern optimisation technique, known as the gravitational search algorithm with an eye on perking up the proficiency in sensing of the channel. The user data is communicated by means of the redundant or vacant channels presently in the system by the deft deployment of the Levenberg-Marquardt-based neural network (GS-LM) approach, where the channel is located; in accordance with the channel state forecast outcomes. The relative evaluation is performed by assessing and contrasting the outcomes of the innovative approach to those of the HMM, LM-based NN and arbitrary technique. The maximum SU and SUimp values attained by the novel method are approximately 0.58 and 0.41 correspondingly.

Online publication date: Mon, 05-Sep-2016

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 Mobile Network Design and Innovation (IJMNDI):
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