Open AccessOptimal sensing interval in cognitive radio networks with imperfect spectrum sensing
Author(s) -
Liu Boyang,
Li Zan,
Si Jiangbo,
Zhou Fuhui
Publication year - 2016
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2015.0671
Subject(s) - cognitive radio , computer science , throughput , underlay , interference (communication) , imperfect , rayleigh fading , interval (graph theory) , markov process , spectrum (functional analysis) , fading , energy consumption , mathematical optimization , algorithm , telecommunications , signal to noise ratio (imaging) , wireless , mathematics , statistics , electrical engineering , channel (broadcasting) , linguistics , philosophy , physics , engineering , combinatorics , quantum mechanics
Spectrum sensing is performed at the beginning of each time slot in traditional cognitive radio networks, which is unreasonable and needless since the presence or the absence of a primary user (PU) always lasts several time slots. A hidden Markov model is used to describe the imperfect spectrum sensing process over Rayleigh fading channels. On the basis of the sensing results, a hybrid interweave/underlay mode is exploited by the secondary user (SU) to achieve a higher throughput. To solve the tradeoff problem among the average energy consumption for spectrum sensing, the average throughput of SU and the average interference to the PU, an optimisation problem is proposed. The optimal sensing interval to determine when the next spectrum sensing should be performed is obtained by solving the optimisation problem. Numerical results are given to verify the authors’ analysis.