Title :
A Learning Spectrum Hole Prediction Model for Cognitive Radio Systems
Author :
Zhigang Wen ; Chunxiao Fan ; Xiaoying Zhang ; Yuexin Wu ; Junwei Zou ; Jie Liu
Author_Institution :
Sch. of Electron. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China
fDate :
June 29 2010-July 1 2010
Abstract :
In this paper, we present a new spectrum-hole prediction model for cognitive radio (CR) systems based on the IEEE 802.11 wireless local areas networks. We have also analyzed the distribution of interval between two consecutive packets (ITCP) based on a simple two-user network. For multiuser networks, we have investigated the distribution of ITCP and study its characteristics using Bayesian inference. The effectiveness of the presented prediction model is validated by MATLAB simulation programs.
Keywords :
Bayes methods; cognitive radio; statistical distributions; telecommunication standards; wireless LAN; Bayesian inference; IEEE 802.11 wireless local areas networks; ITCP distribution; MATLAB simulation programs; cognitive radio systems; learning spectrum hole prediction model; multiuser networks; spectrum-hole prediction model; two-user network; Chromium; Cognitive radio; Computational modeling; Mathematical model; Predictive models; Probability density function; Sensors; Cognitive Radio; ITCP; Prediction Probability; Probability Density Function;
Conference_Titel :
Computer and Information Technology (CIT), 2010 IEEE 10th International Conference on
Conference_Location :
Bradford
Print_ISBN :
978-1-4244-7547-6
DOI :
10.1109/CIT.2010.355
