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
Link To Document :
بازگشت