NDLI: Optimal sensing interval in cognitive radio networks with imperfect spectrum sensing

Content Provider	IET Digital Library
Author	Liu, Boyang Li, Zan Si, Jiangbo Zhou, Fuhui
Abstract	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.
Starting Page	189
Ending Page	198
Page Count	10
ISSN	17518628
Volume Number	10
e-ISSN	17518636
Issue Number	Issue 2, Jan (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/10/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2015.0671
Journal	IET Communications
Publisher Date	2016-01-21
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Cognitive Radio Cognitive Radio Network Energy Consumption Hidden Markov Model HMM Hybrid Interweave Mode Imperfect Spectrum Sensing Process Markov Processes Optimal Sensing Interval Optimisation Optimisation Problem Optimisation Technique Primary User PU Radio Link And Equipment Rayleigh Channel Rayleigh Fading Channel Secondary User Solve Underlay Mode
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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