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

fYear

2010

fDate

June 29 2010-July 1 2010

Firstpage

2089

Lastpage

2093

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Information Technology (CIT), 2010 IEEE 10th International Conference on

Conference_Location

Bradford

Print_ISBN

978-1-4244-7547-6

Type

conf

DOI

10.1109/CIT.2010.355

Filename

5578381