-In recent years, the professional wireless audio transmission systems such as Program Making andSpecial Event (PMSE) devices have been risen causing the need for a higher spectrum efficiency. Cognitive radio (CR) paradigm has been proposed to maximize the audio quality and ensuring interference free operation all the time. The motivation to a reliable spectrum sensing (SS) technique for the detection of PMSE devices has been considered, e.g. the detection of ProfessionalWireless Microphone Systems (PWMS). In this paper, anovel threshold estimation technique for the spectrum sensing (SS) using stochastic approach for energy detection (ED) has been presented. The performance of stochastic threshold estimation approach under noise uncertainty environment has been tested. Under noise uncertainty and obeying the 802.22 standard, our stochastic thresholdhas achieved comparable results and even outperform the doublethreshold in a low signal to noise ratio (SNR).
Rabie Mohamed, A., Yousry, H., & Al-Saeed Abd Al-Aleem Bayomy, M. (2015). Stochastic Threshold for Spectrum Sensing of Professional Wireless Microphone Systems. IJCSN International Journal of Computer Science and Network, 4(4), 2277–5420. Retrieved from www.IJCSN.org