Owing to the advent of the 4 th industrial revolution, radio resources are facilitating the economic and social growth of technologies such as 5G mobile communication, self-driving cars, drones, and internet of things. However, although the demand for radio spectrum is growing exponentially, the supply of the available spectrum is limited. Therefore, governments must allocate new spectrums to new radio industries to maintain international competitiveness and re-deploy the spectrum of old declining services. To achieve these goals, major countries should aim to maximize the value of spectrums through statutory regulator and transparent decision-making processes.In this study, we analyze the radio spectrum management techniques of major countries and determine implications based on this analysis.
Spectrum sensing is of significance in shared spectrum bands. Traditional energy detectors are limited by the variance in background noise, which can reduce the sensing probability. Order statistics detectors, which are inherently protected against non-uniform background noise, can complement energy detectors. However, to date, the spectrum sensing performance of Nakagami-m fading signals has not been analyzed. In this paper, we fill this gap by analyzing the spectrum sensing performance of Nakagami-m fading signals and proposing a robust sensing method called the GOS-L-m detector for noise-uncertain environments. We derive the false alarm probability formula for the GOS-L-m detector, and calculate a threshold value to maintain a constant false alarm rate. Based on this, we obtain the detection probability in a noise-uncertain environment. Our analysis shows that the GOS-L-m sensing method achieves robust detection performance and maintains the desired constant false alarm rate if the coefficients of the GOS-L-m detector are correctly selected.
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