2007
DOI: 10.1109/vetecs.2007.121
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Efficient Simulation of Mobile-To-Mobile Rayleigh Fading using Gaussian Quadrature

Abstract: Abstract-The Gaussian quadrature rules (GQRs) are used to construct a wireless fading simulator based on the popular sum of sinusoids (SoS) method. The general statistics of the proposed simulator are given. This simulator is also shown to perform well for important design parameters. An extension of the GQRs is employed to build uncorrelated simulators, which are important in frequency selective and MIMO simulators. These simulation techniques are then applied to the Mobile-to-Mobile (MtM) spectrum and are co… Show more

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Cited by 7 publications
(5 citation statements)
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“…The experiments that used the emulator are very diverse. Classes of experiments include the characterization of wireless links [9,10] and devices [11], analyzing real world wireless behavior [12], comparing and evaluating wireless protocols [13,14,15], physical layer experiments [16], and course projects and assignments.…”
Section: Emulator Overviewmentioning
confidence: 99%
“…The experiments that used the emulator are very diverse. Classes of experiments include the characterization of wireless links [9,10] and devices [11], analyzing real world wireless behavior [12], comparing and evaluating wireless protocols [13,14,15], physical layer experiments [16], and course projects and assignments.…”
Section: Emulator Overviewmentioning
confidence: 99%
“…This model is called Rayleigh channel. The model is applied when there is no LOS (Zajic et al 2006, Borries et al 2007. Rice and Rayleigh models are quite accurate describing communication conditions, when the wave path number is high (Xiao et al 2003).…”
Section: Communication Channel Modelmentioning
confidence: 99%
“…The simulator proposed in [25] is based on Kullback-Leibler divergence which is compared with inverse fast Fourier transform (IFFT)-based approach of simulator design. Borries and Stancil [26] uses Gaussian quadrature rules for simulator design. Zaji and Stuber [27] proposes an efficient SOS-based approach for V2V simulator design.…”
Section: Introductionmentioning
confidence: 99%