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	"Soft decision" spectrum prediction based on back-propagation neural networks
	Bai, Suya (1) ; Zhou, Xin (1) ; Xu, Fanjiang (1)
	2014
会议名称	2014 IEEE International Conference on Computing, Management and Telecommunications, ComManTel 2014
会议日期	April 27, 2014 - April 29, 2014
会议地点	Da Nang, Viet nam
页码	128-133
中文摘要	In the cognitive radio system, spectrum prediction attracts more and more attention, which predicts future spectrum holes to save energy of spectrum sensing and to improve the efficiency of spectrum access. The current research on spectrum prediction is similar to the hard decision in the communication system. However, the hard decision loses amount of channel information during the process of obtaining channel statuses, which decreases the predictive accuracy of spectrum prediction. Therefore, we propose a "soft decision" model for spectrum prediction based on back-propagation neural networks. In the proposed model, the power values of frequency sampling point instead of the channel status are used as the inputs of the spectrum prediction model. Our experimental results demonstrate that the predictive accuracy of the proposed "soft decision" spectrum prediction model is better than the performance of conventional "hard decision". © 2014 IEEE.
英文摘要	In the cognitive radio system, spectrum prediction attracts more and more attention, which predicts future spectrum holes to save energy of spectrum sensing and to improve the efficiency of spectrum access. The current research on spectrum prediction is similar to the hard decision in the communication system. However, the hard decision loses amount of channel information during the process of obtaining channel statuses, which decreases the predictive accuracy of spectrum prediction. Therefore, we propose a "soft decision" model for spectrum prediction based on back-propagation neural networks. In the proposed model, the power values of frequency sampling point instead of the channel status are used as the inputs of the spectrum prediction model. Our experimental results demonstrate that the predictive accuracy of the proposed "soft decision" spectrum prediction model is better than the performance of conventional "hard decision". © 2014 IEEE.
收录类别	EI
会议录出版地	IEEE Computer Society
语种	英语
ISBN号	9781479929030
内容类型	会议论文
源URL	[http://ir.iscas.ac.cn/handle/311060/16638]
专题	软件研究所_软件所图书馆_会议论文
推荐引用方式 GB/T 7714	Bai, Suya ,Zhou, Xin ,Xu, Fanjiang . "Soft decision" spectrum prediction based on back-propagation neural networks[C]. 见:2014 IEEE International Conference on Computing, Management and Telecommunications, ComManTel 2014. Da Nang, Viet nam. April 27, 2014 - April 29, 2014.

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