电讯技术2017，Vol.57Issue(3)：257-262,6.DOI:10.3969/j.issn.1001-893x.2017.03.002
认知网络中协作感知吞吐量的优化
Throughput Optimization of Cooperative Spectrum Sensing in Cognitive Radio Networks
郭超 1张政保 2姚少林 3刘广凯2
作者信息
- 1. 解放军71777部队,济南250100
- 2. 军械工程学院 信息工程系,石家庄050003
- 3. 电子信息系统复杂电磁环境效应国家重点实验室,河南 洛阳471003
- 折叠
摘要
Abstract
In order to improve the throughput of secondary user ( SU ) in centralized cooperative spectrum sensing cognitive radio networks,a throughput optimization algorithm based on reliable data combing is pro-posed. The throughput is taken as the objective function and the fusion center uses double threshold to make final decision when the primary users are sufficiently protected. It is proved that the throughput is an increasing function of the missed detection probability. The throughput reaches its maximum value while the general missed probability is equal to threshold value. The Newton iteration method is proposed to cal-culate the probability of detection of a single node,and then traversal method is used to obtain the maxi-mum throughput. Simulation results show that the normalized throughput of SU fusion scheme algorithm is increased by 0 . 62 ,0 . 3 and 0 . 09 compared with that of"AND rule" "OR rule" and "K out of N rule"when singal-to-noise ratio( SNR) is -14 dB.关键词
认知无线电/协作频谱感知/融合策略/吞吐量优化Key words
cognitive radio/cooperative spectrum sensing/fusion scheme/throughput optimization分类
信息技术与安全科学引用本文复制引用
郭超,张政保,姚少林,刘广凯..认知网络中协作感知吞吐量的优化[J].电讯技术,2017,57(3):257-262,6.
