Research of spectrum holes detection algorithms for cognitive radio

Author

Chunli, Dong ; Zhen, Yang ; Hui, Zhang ; Feng, Tian ; Li, Wang

Author_Institution

Coll. of Commun. & Inf. Eng., Nanjing Univ. of Posts & Telecommun., Nanjing, China

fYear

2010

fDate

11-14 Nov. 2010

Firstpage

1449

Lastpage

1452

Abstract

The experience of ubiquitous and seamless access to heterogeneous mobile communication networks is one of the core issues of today´s research. One important issue is the reliable detection of spectrum holes. in this paper, we address three important spectrum holes detection algorithms in cognitive wireless networks: MTM-SVD based spectrum holes detection algorithm, Kalman filtering Predictor and Particle filtering predictor. A detailed analysis and the specific steps are given.

Keywords

Kalman filters; cognitive radio; mobile communication; spectral analysers; ubiquitous computing; Kalman filtering; cognitive radio; cognitive wireless networks; heterogeneous mobile communication networks; reliable detection; seamless access; spectrum holes detection algorithms; ubiquitous access; Adaptation model; Computational modeling; Detection algorithms; Filtering; Filtering algorithms; Prediction algorithms; Wireless networks; Cognitive Radio; Kalman filtering; MTM-SVD algorithm; Particle filtering;

fLanguage

English

Publisher

ieee

Conference_Titel

Communication Technology (ICCT), 2010 12th IEEE International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4244-6868-3

Type

conf

DOI

10.1109/ICCT.2010.5688983

Filename

5688983