Abstract:

Objective- In this paper, for cognitive radio networks (CRN) the detection range over different fading channels has been detected which is the key parameter for the better performance of intelligent wireless communication systems. For efficient communication system, the impact of fading medium should be examined on the detection range. Analytical expression for the probability of missed detection and detection range over Rayleigh, Weibull and Laplace fading channels with superimposed lognormal shadowing in cognitive radio network has been derived. Analysis has been done for path loss and detection range to design more effective wireless cognitive radio network.

Design / Methodology/ Approach-The present research paper has analytical approach to reduce fading in cognitive radio network using MATLAB software for different fading channels.

Findings- In this paper detection range has been found to minimize the path loss over increasing distance for wireless cognitive radio network. Investigation of detection range for different fading channels derive new exact and approximated closed-form expressions for average detection probability and average false alarm probability for different fading channels.

Limitations-Present research is based on mathematical calculation for detection range using a defined threshold value; research could have been more authenticated if the threshold value is more accurate for different fading channels and changing rest of the parameters like transmitted power, distance, etc..

Practical implications- This research can help to transmit data from transmitter to receiver having a large distance between them with minimum path loss and transmitted power.

Originality/Value- The paper includes graphical representation of detection range versus path loss exponent which shows the results of decrease in path loss with increase in distance for different fading channels.

Keywords: Cognitive radio network; detection range.

Rayleigh fading; Laplace fading