Communication
Bushra T. Hashim; Hadi T. Ziboon; Sinan M. Abdulsatar
Abstract
A new technique called cognitive radio seeks to utilize the available spectrum.. Spectrum sensing is the fundamental cognitive radio component. There are many types of sensing spectrums, one of which is The Two Thresholds Based on Covariance Absolute Values (TTCAV) method. This method's confused region, ...
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A new technique called cognitive radio seeks to utilize the available spectrum.. Spectrum sensing is the fundamental cognitive radio component. There are many types of sensing spectrums, one of which is The Two Thresholds Based on Covariance Absolute Values (TTCAV) method. This method's confused region, which is unsure whether it is a signal or noise, is one of its drawbacks. To solve this problem proposed two techniques, a 2-bit quantization technique and a 3-bit quantization technique. Both techniques use an adaptive threshold. The experimental results conducted using python version 3.7 and Jetson Nano kit show an improvement in the detection probability values after using the techniques. where the value of 𝑷𝒅= 80.2% for a 2-bit technique, 𝑷𝒅=90.3% for a 3-bit quantization technique,at SNR=-20 under smoothing factor L=3. The Monte Carlo was used to determine the effectiveness of the proposed techniques, and Binary Phase Shift Keying modulation BPSK. According to the experiment, the results after using the proposed techniques are better than before.
Hikmat N. Abdullah; Nuha Sh. Baker; Musab T. S. Al-Kaltakchi
Abstract
Cognitive Radio (CR) is a communication technology developed to solve theproblem of spectrum scarcity. One way to improve the throughput of CR is the use ofefficient decision rules of the fusion center to combine the collected information fromcooperative sensors and produce the right final decision. ...
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Cognitive Radio (CR) is a communication technology developed to solve theproblem of spectrum scarcity. One way to improve the throughput of CR is the use ofefficient decision rules of the fusion center to combine the collected information fromcooperative sensors and produce the right final decision. For this purpose, hard decisionrules like AND and OR and soft decision rules like Square Law Combination (SLC) andMaximum Ratio Combination (MRC) can be combined to optimize the throughputperformance. In this paper, three decision rules, each consist of two decision stages (hardand soft) are proposed to improve the throughput of CR in cooperative scenario. Thesimulation results showed that the proposed rules enhance the throughput as comparedwith traditional ones. They demonstrated that the first proposed rule enhances thethroughput by 106% and 58.9% at SNR equals -10 dB in Rayleigh fading channel over theclassical OR-SLC and the AND-SLC rules, respectively. Under the same simulationconditions, the second proposed rule enhanced the throughput by 163% and 97.5%, whilethe third proposed method enhances throughput by 210% and 135%, respectively.
