A Mobile-to-Mobile Fading Channel Simulator Based on an Orthogonal Expansion

2008 ◽  
Author(s):  
Antonio Petrolino ◽  
Joao Gomes ◽  
Goncalo Tavares
Keyword(s):  
Fading Channel ◽  
Orthogonal Expansion ◽  
Fading Channel Simulator ◽  
Channel Simulator

FPGA Implementation of a Nakagami-m fading channel Simulator using Random Number Generator

2016 ◽  
Vol 4 (1) ◽  
pp. 133
Author(s):  
Santhosh Kumar B ◽  
K. Ayyappa Swamy
Keyword(s):  
Fading Channels ◽  
Fading Channel ◽  
Random Number ◽  
Random Number Generator ◽  
Rician Fading ◽  
Size Parameter ◽  
Rician Fading Channel ◽  
Signal Fading ◽  
Fading Channel Simulator ◽  
Channel Simulator

<p class="abstract">By realizing the concept of implementation of the radio propagation channels on simulators is the eminent intention of this work. Even though prototyping software simulators are effortless to design we prefer hardware simulators as they endeavors distinguishable quickness, compared to earlier. Prior to this work fading channels like Gaussian, Rayleigh and Rician fading channel simulators were executed on hard ware.(i.e. FPGA) The significant target  of this attempt is to implement Nakagami-m  fading channel on hardware as they preserved for  unsubstantial consideration. While differentiating with other fading channels  Nakagami-m fading channel acquires wide spread applications, as its capability of providing  appropriate fit for practical fading data, as this is flexible through its size parameter ‘m’, over which representation of signal fading conditions that vary  from serious to modest, to normal  fading or no fading is accomplished . The proposed hardware simulator can hatches complex Nakagami variates after it was implemented on XilinxSpartan-xc3s500e-4fg320 FPGA. This is operated at 50MHz.</p>

scholarly journals An Accurate Hardware Sum-of-Cisoids Fading Channel Simulator for Isotropic and Non-Isotropic Mobile Radio Environments

2012 ◽  
Vol 2012 ◽  
pp. 1-12 ◽  
Author(s):  
L. Vela-Garcia ◽  
J. Vázquez Castillo ◽  
R. Parra-Michel ◽  
Matthias Pätzold
Keyword(s):  
Fading Channel ◽  
Technological Development ◽  
Isotropic Scattering ◽  
Approximation Technique ◽  
Piecewise Polynomial Approximation ◽  
Power Spectral ◽  
Average Duration Of Fades ◽  
Doppler Power ◽  
Fading Channel Simulator ◽  
Channel Simulator

The rapid technological development in the field of wireless communications calls for devices capable of reproducing and simulating the behavior of the channel under realistic propagation conditions. This paper presents a hardware fading channel simulator that is able to generate stochastic processes characterized by symmetrical and asymmetrical Doppler power spectral densities (PSDs) depending on the assumption of isotropic or non-isotropic scattering. The concept of the proposed hardware simulator is based on an implementation of the sum-of-cisoids (SOC) method. The hardware simulator is capable of handling any configuration of the cisoid's amplitudes, frequencies, and phases. Each of the cisoids that constitutes the SOC model is implemented using a piecewise polynomial approximation technique. The investigation of the higher-order statistics of the generated fading processes, like the level-crossing rate (LCR) and the average duration of fades (ADF), shows that our design is able to reproduce accurately the key features of realistic channel models that are considered as candidates for the latest wireless communication standards.

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