NDLI: Based on neural network spectrum prediction of cognitive radio

Content Provider	IEEE Xplore Digital Library
Author	Zhao Jianli Wang Mingwei Yuan Jinsha
Copyright Year	2011
Description	Author affiliation: College of Electric Power and Electric Engineering, North China Electric Power University, Baoding, Hebei, China (Wang Mingwei) \|\| College of Electric Power and Electric Engineering North China Electric Power University Baoding, Hebei, China (Zhao Jianli; Yuan Jinsha)
Abstract	Cognitive radio technology enables unauthorized users to use the same spectrum in the absence of interference. And spectrum sensing for non-authorized users perceive the availability of the channel is a very important tool. But the perceived need to consume a large spectrum of energy, and this part of the energy can be reduced by perceive of the spectrum holes. The use of reliable prediction methods, non-authorized users will perceive only the channel idle, which will not only reduce energy consumption, but also spectrum efficiency can be increased. In this paper, we design a neural network prediction model of the spectrum, by simulation, spectrum occupancy state can be predicted.
Starting Page	762
Ending Page	765
File Size	218649
Page Count	4
File Format	PDF
ISBN	9781457703201
e-ISBN	9781457703218
DOI	10.1109/ICECC.2011.6066613
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-09
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neurons Hidden Markov models Prediction Predictive models Educational institutions Power systems Neural network Cognitive radio Biological neural networks
Content Type	Text
Resource Type	Article

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