A Sensing Duration Optimization Algorithm in Cognitive Radio

被引：1
|
作者：
Liu, Yuexuan [1 ]
Liang, Shujian [1 ]
Zhang, Xiao [1 ]
机构：
[1] PLAGSD, Commun Training Base, Zhangjiakou 075100, Hebei, Peoples R China
来源：
FIFTH INTERNATIONAL CONFERENCE ON MACHINE VISION (ICMV 2012): ALGORITHMS, PATTERN RECOGNITION AND BASIC TECHNOLOGIES | 2013年 / 8784卷
关键词：
Cognitive radio; State transition probability; OPPORTUNISTIC SPECTRUM ACCESS; NETWORKS; THROUGHPUT; MAC;
D O I：
10.1117/12.2014013
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
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页数：9
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