State transition probability based sensing duration optimization algorithm in cognitive radio

The sensing duration to use is a trade-off between sensing performance and system efficiencies. The relationship between sensing duration and state transition probability was analyzed when the licensed channel stays in the idle and busy states respectively, based on which, a state transition probabi...

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Vydáno v:Tongxin Xuebao Ročník 32; číslo 8; s. 72 - 80
Hlavní autoři: Zhang, Xiao, Wang, Jin-Long, Wu, Qi-Hui
Médium: Journal Article
Jazyk:čínština
Vydáno: Editorial Department of Journal on Communications 01.08.2011
Témata:
Algorithms
Channels
cognitive radio;state transition probability;sensing duration;periodic sensing framework
Detection
Energy use
Optimization
Tradeoffs
Transition probabilities
Transmission
ISSN:1000-436X
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Abstract The sensing duration to use is a trade-off between sensing performance and system efficiencies. The relationship between sensing duration and state transition probability was analyzed when the licensed channel stays in the idle and busy states respectively, based on which, a state transition probability prediction based sensing duration optimization algorithm was proposed. 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.
AbstractList The sensing duration to use is a trade-off between sensing performance and system efficiencies. The relationship between sensing duration and state transition probability was analyzed when the licensed channel stays in the idle and busy states respectively, based on which, a state transition probability prediction based sensing duration optimization algorithm was proposed. 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.
The sensing duration to use is a trade-off between sensing performance and system efficiencies.The relation-ship between sensing duration and state transition probability was analyzed when the licensed channel stays in the idle and busy states respectively,based on which,a state transition probability prediction based sensing duration optimization algorithm was proposed.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.
Author Zhang, Xiao
Wu, Qi-Hui
Wang, Jin-Long
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Snippet The sensing duration to use is a trade-off between sensing performance and system efficiencies. The relationship between sensing duration and state transition...
The sensing duration to use is a trade-off between sensing performance and system efficiencies.The relation-ship between sensing duration and state transition...
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SubjectTerms Algorithms
Channels
cognitive radio;state transition probability;sensing duration;periodic sensing framework
Detection
Energy use
Optimization
Tradeoffs
Transition probabilities
Transmission
Title State transition probability based sensing duration optimization algorithm in cognitive radio
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