Abstract
Spectrum sensing (SS) is the important functions of cognitive radio networks (CRNs) which decides whether the band or sub-band of spectrum is available or not for secondary users (SUs), i.e., cognitive radios (CRs). In this paper, the authors considered the problem of the spectrum sensing, i.e., detection of the primary users under the case of unknown signal and noise levels. The detection method of primary user is based on blind eigenvalue, as well as multiple antenna system is considered for spectrum sensing. On the increment of one, more receivers gave the better performance of detection as compared to increasing thousands of received signal samples or increasing covariance variable for eigenvalue-based spectrum sensing.
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Verma, P.K., Kumar, R., Soni, S.K., Jain, P. (2018). Performance Analysis of Blind Eigenvalue with Multiple Antenna-Based Spectrum Sensing in Cognitive Radio. In: Perez, G., Tiwari, S., Trivedi, M., Mishra, K. (eds) Ambient Communications and Computer Systems. Advances in Intelligent Systems and Computing, vol 696. Springer, Singapore. https://doi.org/10.1007/978-981-10-7386-1_13
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DOI: https://doi.org/10.1007/978-981-10-7386-1_13
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