Radio Spectrum Sensing Comparative Analysis For Multiple Primary User Transmitter Detection

A radio spectrum is a particular range of frequencies used to communicate information in arnwireless communication system. It is naturally available and scarce resource. Besides to, therndramatically increase of the wireless communication system is a critical issue and the studiesrnshow that a certain licensed spectrum are underutilized. To solve this problem the cognitivernradio is a key technology when there is a free spectrum band of the licensed users then therncognitive radio system permits that band for unlicensed or secondary users. In addition to thatrnthe cognitive radio system continuously monitors at the range of primary user transmission tornminimize the interference by the secondary user’s whole opportunistically occupies on thernlicensed bands. For this task the cognitive radio uses different spectrum sensing methods tornavoid the undesirable interfering and recognize the accessible radio spectrum band for secondaryrnusers (SUs).rnIn this thesis, the performance of the Spherical and John’s detector spectrum sensing methods inrnthe presence of one and two primary users by implementing it over the typical Rayleigh fadingrnchannel is investigated. The performance of probability of detection and Receiver OperatingrnCharacteristics (ROC) curves within low signal-to-noise ratio (SNR) range is compared. Usingrnthe MATLAB software with the Monte Carlo techniques are used to evaluate and analysis of thernperformance of this work.rnThe implementation part shows a detailed comparison between the Spherical detector (SD) usingrnGeneral Likelihood Ratio Test (GLRT) estimator and John’s detector (JD) using Locally BestrnInvariant Test (LBIT) estimator including a single and two primary user (PU) transmitted signalsrnof detection. The specific, result shows the performance efficiency of detection for both schemesrnwith a tolerable interference level under the fading channel.rnThe proposed system uses GLRT estimator for SD and LBIT estimator for JD. After doing thernexperiment, the result showed that JD provided the better detection performance over SD. Tornillustrate this, when two PUs are detected by four SUs in cooperative scheme using SD methodrnat SNR range of [-2, -1] dB, the result is found to be incremented from 99.7% to 99.8%. Thernsame experiment is done using JD method and the result shows that the detection performance isrnin the range of 99.9% and 100%.

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