Accurate estimation of primary user traffic based on periodic spectrum sensing

Al-Tahmeesschi, Ahmed; López-Benítez, Miguel; Lehtomäki, Janne; Umebayashi, Kenta (2018-06-11)
 
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https://doi.org/10.1109/WCNC.2018.8377169

Al-Tahmeesschi, Ahmed
López-Benítez, Miguel
Lehtomäki, Janne
Umebayashi, Kenta
Institute of Electrical and Electronics Engineers
11.06.2018

A. Al-Tahmeesschi, M. López-Benítez, J. Lehtomäki and K. Umebayashi, "Accurate estimation of primary user traffic based on periodic spectrum sensing," 2018 IEEE Wireless Communications and Networking Conference (WCNC), Barcelona, 2018, pp. 1-6. doi: 10.1109/WCNC.2018.8377169

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doi:https://doi.org/10.1109/WCNC.2018.8377169
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Abstract

An accurate estimation of the primary statistics is essential for Cognitive Radio (CR) systems. This knowledge can be exploited to enhance CR performance and reduce the interference with the primary users. In this work, we propose a method based on the Method of Moments (MoM) to improve the distribution estimation. A Modified Method of Moments (MMoM) with a correction factor is proposed to improve the estimation of moments and thus the resulting primary distribution. The simulation and experimental results show that the MMoM approach is notably more accurate. Finally, we study the importance of having a sufficiently large sample space and the effect of sample size on the moments and the primary distribution estimation.

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