Spectrum sensing interval optimization and power control for energy efficient cognitive radio networks

Energy efficient cognitive radio networks can simultaneously improve spectrum efficiency (SE) and energy efficiency (EE) of wireless communication networks. This paper studies energy efficient spectrum sensing interval, spectrum sensing energy and transmit power allocation scheme of the secondary us...

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Bibliographic Details
Published inInternational Conference on Wireless Communications and Signal Processing pp. 1 - 6
Main Authors Boyang Liu, Guangyue Lu, Zan Li, Fuhui Zhou
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2017
Subjects
Cognitive radio
energy efficiency
Interference constraints
Optimization
power control
Receivers
sensing energy optimization
sensing interval optimization
Sensors
spectrum efficiency
Throughput
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Summary:Energy efficient cognitive radio networks can simultaneously improve spectrum efficiency (SE) and energy efficiency (EE) of wireless communication networks. This paper studies energy efficient spectrum sensing interval, spectrum sensing energy and transmit power allocation scheme of the secondary user (SU) in CR networks. The EE maximization problem subject to the transmit power constraint and average primary user (PU) interference constraint is formulated as a non-convex optimization problem. Based on the quasiconcave property of the optimization problem, the original problem is transformed into an equivalent concave problem and a Dinkelbach's method based iterative algorithm is used to solve the problem. As a special case, the throughput maximization problem is also investigated. Through simulation results, the impact of transmit power constraint and PU interference constraint on the EE and throughput of the SU are analyzed.
ISSN:2472-7628
DOI:10.1109/WCSP.2017.8171169