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Proceedings Paper

A sensing duration optimization algorithm in cognitive radio
Author(s): Yuexuan Liu; Shujian Liang; Xiao Zhang
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Paper Abstract

In a periodic spectrum sensing framework where each frame consists of a sensing duration and a data transmitting duration, the sensing duration to use is a trade-off between sensing performance and system efficiencies. The relationships between sensing duration and state transition probability are analyzed firstly, when the licensed channel stays in the idle and busy states respectively. Then a state transition probability based sensing duration optimization algorithm is proposed, which can dynamically optimize the sensing duration of each frame. Analysis and simulation results reveal that the proposed algorithm can use as little sensing duration in each frame as possible to satisfy the sensing performance constraints so as to maximize the energy and transmitting efficiencies of the cognitive networks.

Paper Details

Date Published: 13 March 2013
PDF: 9 pages
Proc. SPIE 8784, Fifth International Conference on Machine Vision (ICMV 2012): Algorithms, Pattern Recognition, and Basic Technologies, 878417 (13 March 2013); doi: 10.1117/12.2014013
Show Author Affiliations
Yuexuan Liu, Communication Training Base of PLAGSD (China)
Shujian Liang, Communication Training Base of PLAGSD (China)
Xiao Zhang, Communication Training Base of PLAGSD (China)


Published in SPIE Proceedings Vol. 8784:
Fifth International Conference on Machine Vision (ICMV 2012): Algorithms, Pattern Recognition, and Basic Technologies
Yulin Wang; Liansheng Tan; Jianhong Zhou, Editor(s)

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