Title :
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
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;
Conference_Titel :
Communication Technology (ICCT), 2010 12th IEEE International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-6868-3
DOI :
10.1109/ICCT.2010.5688983
