ISSN: 2277-1891

International Journal of Advance Innovations, Thoughts & Ideas
Open Access

Our Group organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations
700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article

Dynamic Energy Detection Approach for Spectrum Sensing in Cognitive Radio Networks

Pulkit Sharma1,*, Naresh Kumar2

1ME (ECE), Electronics and Communication Engineering Branch, UIET, Panjab University, Chandigarh

2Assistant Professor,Electronics and Communication Engineering Branch, UIET, Panjab University, Chandigarh

*Corresponding Author:
Pulkit Sharma
ME (ECE), Electronics and Communication Engineering Branch
UIET, Panjab University
Chandigarh
E-mail: pulkitsharmay2k@gmail.com

Abstract

The current spectrum management scheme is leading to underutilization of spectrum. Cognitive Radio Networks solves the problem of spectrum scarcity by using dynamic spectrum management. Using dynamic spectrum management secondary users can use the licensed spectrum opportunistically. Cognitive Radio Networks can be implemented practically only after detecting those primary bands which are not used by licensed primary user. These free primary bands are technically called spectrum holes and detecting these spectrum holes is called spectrum sensing. New technique for detecting spectrum holes in primary band is proposed in this paper. Various techniques used for spectrum sensing are also described in this paper. Performance of the proposed spectrum sensing method is evaluated under different parameters. Spectrum sensing results for proposed method are compared with the spectrum sensing methods proposed previously. Simulation results shows that the spectrum sensing results for the proposed scheme are better than the previously proposed methods. 

Top