Abstract
Spectrum sensing helps cognitive wireless users to gather RF information regarding presence or absence of spectral holes. These spectral holes are not permanent in nature. These are exploited by cognitive users in secondary fashion in such a way that they do not create harmful interference for primary users (PU). Thus, on sudden arrival of a PU, secondary user must vacate those bands for PU because they are high priority users in comparison to cognitive users. The receiver circuit of cognitive radio estimates the received signal and noise parameters and computes a test statistic. This statistic is compared with a pre-set threshold. However, under realistic scenarios, wireless communication channels behave as time-varying entities. Hence, received signal as well as noise varies significantly. The variation in estimated receiver parameters results in deteriorated detection performance for fixed-threshold sensors. In this paper, it is assumed that there are Gaussian estimation errors in received signal. Under this case, an adaptive threshold based testing rule is applied to explore the performance of spectrum sensing radios under adaptive threshold rule. The results clearly recommend the use of proposed algorithm for received signal with Gaussian channel estimation errors. The results show that the proposed method significantly improves the detection performance of the considered cognitive radio i.e. for a false alarm rate of 0.1, the detection probability of the proposed system improves more than 3 times in comparison to the classic cognitive radio under Gaussian Channel estimation errors. The proposed technique can be utilized for future intelligent radios for 5G wireless networks.
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Acknowledgment
The authors would like to thank the Administration of NED University of Engineering & Technology, Karachi, Pakistan for providing resources to complete this research. Part of this paper was submitted towards final year project of principal author at NED University of Engg. & Technology, Karachi, Pakistan. Additionally, Usama Bin Ali at Affiniti, TRG Pakistan, Fizza Irfan and Namra Saleem for their valuable discussions with the first author of the paper.
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Naqvi, S.A.R., Shaikh, A.Z., Khatri, K.L., Mugheri, A.A., Ahmed, S. (2018). Adaptive Threshold Technique for Spectrum Sensing Cognitive Radios Under Gaussian Channel Estimation Errors. In: Miraz, M., Excell, P., Ware, A., Soomro, S., Ali, M. (eds) Emerging Technologies in Computing. iCETiC 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 200. Springer, Cham. https://doi.org/10.1007/978-3-319-95450-9_15
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