SHC Prediction Scheme based on BP Neural Network for Cognitive Radio
Xiang Ya-na · Communications technology · 2015
To implement the tracking jam in CR( cognitive radio)communication,it is necessary to predict the target channel—SHC( Suspicious Hopping Channel)—that CR may hop to after suffering a certain interference,so as to track and jam it in SHC.A spectrum model with multiple channels and multiple users is proposed,in which the CR user can intelligently select and access the appropriate channel from the sensed idle channels.Then the algorithm based on BP neural network is used to predict the SHC.In order to measure the prediction effect,two reference standards—handoff accuracy and precession are proposed.Finally,Simulation results verify the feasibility of this prediction algorithm.