Paper Info
Title
A robust radio access technology classification scheme with practical considerations
Abstract
This paper presents a robust radio access technology (RAT) classification framework for acquiring comprehensive knowledge on multiple types of coexisting wireless systems. It is built upon the combination of a group of RAT-specific feature metrics using maximum likelihood estimation (MIE) based decision rules. The classification scheme is enhanced by our proposed dimension cancellation (DIC) method for mitigating the noise uncertainty in practical receivers. Based on this framework, a signal classifier for TV white space (TVWS) is designed and implemented which is capable of detecting and classifying DVB-T, 3GPP LTE, IEEE 802.22, ECMA-392 and wireless microphone signals. The classifier is validated by both simulation and real-world experiment using a spectrum sensing testbed. The simulation and experiment performances agree with each other well, which confirms the effectiveness and robustness of the proposed classification scheme. The proposed classification framework will be further applied to our on-going projects kogLTE and ABSOLUTE in which the LTE network is enhanced with cognitive radio for operating in complex radio environment.
Year
DOI
Venue
2013
10.1109/PIMRCW.2013.6707832
PIMRC Workshops
Keywords
Field
DocType
mie based decision rules,dic method,koglte,radio access networks,maximum likelihood estimation,cognitive radio,tv white space,maximum likelihood estimation based decision rules,ieee 802.22,wireless systems,spectrum sensing testbed,absolute,dimension cancellation method,dvb-t,lte network,complex radio environment,robust radio access technology classification scheme,signal classification,digital video broadcasting,signal classifier,long term evolution,ofdm,tvws,ecma-392,3gpp lte,spectrum sensing,rat classification framework,signal detection,lte,wireless microphone signals
Radio resource management,White spaces,Detection theory,Computer science,Testbed,Computer network,Real-time computing,Robustness (computer science),Wireless microphone,Radio access technology,Cognitive radio
Conference
Citations 
PageRank 
References 
0
0.34
6
Authors
5
Name
Order
Citations
PageRank
Hanwen Cao1399.96
Wei Jiang222022.56
Michael Wiemeler3142.66
Thomas Kaiser415327.01
Jürgen Peissig5409.80