Analysis of spectrum utilization for ISM band cognitive Radio Sensor Networks

In this paper, an energy-based interference signal detection framework is proposed for the analysis of spectrum utilization in the ISM band cognitive Radio Sensor Networks (CRSNs). A hypothesis testing is used to derive the exact solution and approximate solution (with less computational complexity)...

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Bibliographic Details
Published in2016 8th IEEE International Conference on Communication Software and Networks (ICCSN) pp. 439 - 443
Main Authors Shensheng Tang, Chenghua Tang, Rong Yu, Xiaojiang Chen, Yi Xie
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2016
Subjects
Cognitive radio
cognitive radio sensor network
detection probability
Detectors
false alarm probability
IEEE 802.11 Standard
Interference
spectrum utilization
Wireless sensor networks
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Summary:In this paper, an energy-based interference signal detection framework is proposed for the analysis of spectrum utilization in the ISM band cognitive Radio Sensor Networks (CRSNs). A hypothesis testing is used to derive the exact solution and approximate solution (with less computational complexity) of the quality of detection (i.e., detection probability and false alarm probability), from which the metric of spectrum utilization is defined and analyzed. Numerical results are provided to validate the analysis. The proposed framework and analytic results are expected to be applied to the design of future CRSNs.
DOI:10.1109/ICCSN.2016.7587197