PERFORMANCE ANALYSIS OF COGNITIVE RADIO SPECTRUM SENSING TECHNIQUES OVER A RAYLEIGH FADING CHANNEL
The purpose of this project is to analyse the performance of cognitive radio spectrum sensing techniques over a Rayleigh fading channel. The main aim of the project is to explore the use of GSM900 frequencies on a Cognitive Radio Wireless Sensor Network (CR-WSN) in a typical Central Business District (CBD). As such, the primary signal should use GSM900 centre frequency, for example the signal can use ARFCN 5 at 936MHz. This project analyses the performance of three transmitter based methods namely Energy detection, Cyclostationary feature and Matched Filter detection for a primary user on a GSM900 signal over a Rayleigh Fading channel. In addition, the project will also simulate and analyze the performance of the co-operative sensing technique using different numbers of secondary users, and review how it seeks to solve the hidden node problem.
Design Process
A primary signal with GSM900 center frequency (for example 936MHz given in section 1). The code should also include a plot of this signal in time domain and its FFT.
ROC curve for the Energy Detection Method over a Rayleigh channel for the signal mentioned above.
A plot of the Probability of Detection vs SNR for Energy detection Method.
ROC curve for the Cyclostationary Feature detection Method over a Rayleigh channel for the signal mentioned above.
A plot of the Probability of Detection vs SNR for Cyclostationary feature detection Method.
ROC curve for the Matched Filter detection Method over a Rayleigh channel for the signal mentioned above.
A plot of the Probability of Detection vs SNR for Matched Filter Detection Method.
ROC curve for the Co-operative Spectrum sensing Method over a Rayleigh channel for the signal mentioned above.
A plot of the Probability of Detection vs SNR for Co-operative spectrum sensing Method.
Evaluation of performance is expected to be mainly based on ROC curves for the subject spectrum sensing techniques. The propagation channel considered is Rayleigh Fading channel.
Reference Paper-1: Performance Analysis of Spectrum Sensing of Cognitive Radio under Different Fading Environment
Author’s Name: Ravi Yadav and Sandeep Kumar Agrawal
Source: IEEE-International Conference on Computational Intelligence and Communication Networks (CICN)
Year:2015
Reference Paper-2: Performance evaluation of energy based spectrum sensing in multipath fading channel for cognitive radio system
Author’s Name: Rajalekshmi Kishore, C.K. Ramesha, Viren Sharma and Roopal Joshi
Source: IEEE National Conference on Communication, Signal Processing and Networking (NCCSN)
Year:2014
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SIMULATION VIDEO DEMO
