DocumentCode
2997114
Title
Arbitrary Distribution Random Variable Generator for Channel Emulators
Author
Zarate-Martínez, R. ; Peña-Campos, F. ; Castillo, J. Vazquez ; Parra-Michel, R.
Author_Institution
Telecommun. Dept., Centro de Investig. y de Estudios Av. del I. P. N., Zapopan, Mexico
fYear
2011
fDate
Nov. 30 2011-Dec. 2 2011
Firstpage
339
Lastpage
344
Abstract
Channel emulation is a fundamental part in designing, testing and validation of wireless communication systems. It brings the possibility of modeling certain channel characteristics without the necessity of performing field tests. In standards, channel models are specified in terms of several power spectral distributions that require the generation of random variables with predefined statistics. However, current emulator approaches consider different generators for each specific distribution. In this work it is presented an efficient hardware architecture for arbitrary random variable generation that can be used for all the distributions of a wireless channel emulator. The proposed architecture is based on the inversion method implemented via piecewise polynomial approximation. The architecture was validated under the WiMAX standardas the parameters generator of the channel´s temporal variations. Implementation results show that this single module can produce all random parameters for current communication standards.
Keywords
WiMax; telecommunication channels; WiMAX standard; arbitrary distribution random variable generator; arbitrary random variable generation; channel emulation; channel emulators; power spectral distributions; wireless channel emulator; wireless communication systems; Computer architecture; Generators; Least squares approximation; OFDM; Polynomials; Random access memory; Channel emulation; WiMAX emulation; inversion method; piecewise polynomial approximation; random variable generation;
fLanguage
English
Publisher
ieee
Conference_Titel
Reconfigurable Computing and FPGAs (ReConFig), 2011 International Conference on
Conference_Location
Cancun
Print_ISBN
978-1-4577-1734-5
Type
conf
DOI
10.1109/ReConFig.2011.14
Filename
6128600
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