DocumentCode
3535101
Title
Modeling quantized fading channels as uncertainty: A quasi-Signal-to-Noise-Ratio approach
Author
Xiang Chen ; Guoxiang Gu ; Li Qiu ; Yu Feng
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Windsor, Windsor, ON, Canada
fYear
2013
fDate
10-13 Dec. 2013
Firstpage
5282
Lastpage
5287
Abstract
In this paper, we propose a new approach to model the network communication channel broadly used in networked control systems, which normally carries a quantizer subject to multiplicative random noise (fading effect). This new modeling approach is robust control oriented which allows factorization of the quantized fading channels (QFC) into a disturbance path, involving both quantization and fading impacts, and a nominal dedicated path. A quasi-Signal-to-Noise-Ratio (qSNR) is introduced to characterize the QFC, mimicking the traditional characterization of a disturbance uncertainty set in the norm bound. Through an example, it is shown that this new modeling approach turns the stabilizing control problem for networked systems with QFC into a normal small-gain design issue and offers a nice physical interpretation of the communication channel when its impact is considered on the performance of networked control systems. It is also shown that this new channel model is comprehensive, providing an unified expression of QFCs with either relative-error or multiplicative-error quantization.
Keywords
fading channels; quantisation (signal); robust control; QFC characterization; QFC factorization; communication channel physical interpretation; disturbance path; disturbance uncertainty set; fading effect; fading impact; modeling approach; multiplicative random noise; multiplicative-error quantization; network communication channel; networked control systems; nominal dedicated path; norm bound; qSNR approach; quantization impact; quantized fading channel modeling; quasisignal-to-noise-ratio approach; relative-error quantization; robust control; small-gain design issue; stabilizing control problem; Abstracts;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location
Firenze
ISSN
0743-1546
Print_ISBN
978-1-4673-5714-2
Type
conf
DOI
10.1109/CDC.2013.6760720
Filename
6760720
Link To Document