International Journal of Advanced Computing and Communication Systems

Proposed Model for Efficient Spectrum Sensing Techniques in Cognitive Radio Network using Compressive Sensing and Interference Temperature Model

Janaki R, Rajeshwari P and Subashini V, ECE/AP Sri Sai Ram Institute of Technology, Chennai, TamilNadu, India.

International Journal of Advanced Computing and Communication Systems

ISSN (Online) : 2347 - 9299

ISSN (Print) : 2347 - 9280

Received On :

Revised On :

Accepted On :

Published On :

Volume 04, Issue 01

Page No : 012-017

Abstract

The demand of wireless communication in utilizing the RF spectrum in an efficient way is met out with CR networks which act as secondary user to occupy the unused licensed spectrum of the primary user. A Cognitive radio is an intelligent radio with dynamically programmable and reconfigurable capabilities. The primary objective of CR is efficient utilization of wireless spectrum and reliable communication without affecting the primary user. This can be made achieved by continuously monitoring, sensing and using the vacant spectrum (spectrum holes) without disrupting the primary user. Its transceiver is designed to use best wireless channel in its vicinity. The detection of available channel by the intelligent radio is based on compressive sensing. Compressive sensing is used to calculate the energy of licensed signal whereas ITM is used for the coexistence of secondary and primary user with minimum interference. This paper focuses on effective spectrum sensing using compressive sensing with ITM in CR networks.

Keywords

CR networks, Spectrum sensing, Compressive sensing, Interference Temperature Model.

Cite this Article

Janaki R, Rajeshwari P and Subashini V, “Proposed Model for Efficient Spectrum Sensing Techniques in Cognitive Radio Network using Compressive Sensing and Interference Temperature Model, ”International Journal of Advanced Computing and Communication Systems, pp. 012-017, March, 2017.

Copyright

© 2017 Janaki R, Rajeshwari P and Subashini V. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.