Comparatative Analysis of Energy Detection Spectrum Sensing of Cognitive Radio Under Wireless Environment Using SEAMCAT

Abstract

Abstract-In the recent years, the Cognitive Radio technology imposed itself as a good solution to enhance the utilization of unused spectrum and globalized the radio environment for different band users that utilize or require different techniques for transmission. In this paper, the energy detection spectrum sensing technique that is used to detect the presence of unknown deterministic signal is studied under the non-time dispersive fading environment using the Hata propagation model for picocell communication systems. The different aspects of nontime dispersive fading regions over energy detection spectrum sensing and impact of changing a detection threshold of the secondary user Cognitive Radio on interference at primary user for non-cooperative spectrum access have been studied in the terms of probability of interference. The entire Comparatative Analysis of Spectrum Sensing in Cognitive radio has been carried out with the aid of SEAMCAT software platform.

Performance Evaluation of Prototype FBMC Cognitive Radio under Constraints of L Number of Sensing Samples at Variable SNR for AWGN and Rayleigh Fading Environment

“…Attempts should be made to develop newer models of CR on Lab View, System View within SNR range for Cognitive radio operation -5dB to +40dB [15][16][17].Radio Spectrum Management at Physical Layer CR still may not provide sufficient BW. The study can be extended to design algorithms that further improve coordination between the cells, higher coverage of network and higher interference reduction in a cognitive radio network [18][19][20][21][22][23].The present work done has its significant impact on the design and development of FBMC cognitive radio under ubiquitous and pervasive environment for the enhancement of FBMC under fading channels [24][25][26][27][28][29][30][31][32][33][34][35][36] …”

Design and Implementation of Efficient Analysis and Synthesis QMF Bank for Multicarrier Cognitive Radio Communication.

“…The present research work has its strong impact on the design of Multirate Filter banks for cognitive radio communication under ubiquitous, pervasive domain. The study can be extended to the wireless networks through the application of efficient filter banks which can be further helpful for analysis and design of future wireless radio technologies [32][33][34][35].…”