A multi-criteria comparative analysis of different Rayleigh fading channel simulators

Skima, Mohamed Ali; Ghariani, Hamadi; Lahiani, Mongi

doi:10.1016/j.aeue.2014.01.001

Cited by 12 publications

(12 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This paper compares and analyzes the performance of the most accepted Rayleigh fading channel simulators, and it is a continuation of our previous work [11] with substantial novel contributions. Some important outcomes of [11] are reported here, to be further studied and discussed.…”

Section: Introductionmentioning

confidence: 99%

“…Some important outcomes of [11] are reported here, to be further studied and discussed. We will use three quantitative measures to investigate the accuracy of different Rayleigh fading generators in terms of both first-and second-order statistics.…”

Section: Introductionmentioning

confidence: 99%

“…The convergence of two of the most successful stochastic SOS-based models is checked here using the variance of time-averaged ACF. In addition, the first-order statistic probability density function (PDF) of the envelope is assessed with a more convenient measure than used in previous studies [11], [13]. Moreover, the complexity of the different models is tested based on the time of execution.…”

Section: Introductionmentioning

confidence: 99%

“…In [11], the quality of the second-order time-averaged autocorrelation function (ACF) is investigated using the power margin quality measures [12]. For the non-ergodic stochastic simulation models, this statistic varies from one simulation trial to another and a look into the convergence of these models is highly recommended which is missing in [11]. The convergence of two of the most successful stochastic SOS-based models is checked here using the variance of time-averaged ACF.…”

Section: Introductionmentioning

confidence: 99%

“…We will use three quantitative measures to investigate the accuracy of different Rayleigh fading generators in terms of both first-and second-order statistics. In [11], the quality of the second-order time-averaged autocorrelation function (ACF) is investigated using the power margin quality measures [12]. For the non-ergodic stochastic simulation models, this statistic varies from one simulation trial to another and a look into the convergence of these models is highly recommended which is missing in [11].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

On the Performance of Different Simulation Models for Rayleigh Fading Channels

Skima¹,

Boulaaba²,

Ghariani³

2015

IJCCE

Self Cite

View full text Add to dashboard Cite

Abstract:In this paper, we analyze and compare seven of the most accepted and approved simulation models for Rayleigh fading channels. These models cover the three popular methods for generating time-correlated Rayleigh fading processes: the inverse discrete Fourier transform (IDFT) method, the filtering white Gaussian noise (FWGN) method and the sum-of-sinusoids (SOS) method. Three quantitative measures are used for judicious assessment of the quality of generated processes. The study addresses firstand second-order statistics of the fading process. The variance of the autocorrelation function (ACF) of the fading process is used to investigate the convergence of the stochastic SOS-based models. An evaluation of the computational effort is additionally presented. The simulation results suggest that the recently published Wang's model is very attractive and it outperforms all SOS models. This study leads to several important conclusions about the accuracy, capability and efficiency of the different Rayleigh fading generators.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

On the Performance of Different Simulation Models for Rayleigh Fading Channels

Skima¹,

Boulaaba²,

Ghariani³

2015

IJCCE

Self Cite

View full text Add to dashboard Cite

show abstract

Performance evaluation of sum‐of‐cisoids Rice/Rayleigh fading channel simulators with respect to the bit error probability

Pätzold

Rafiq

2014

Radio Science

View full text Add to dashboard Cite

Sum‐of‐cisoids (SOC) processes provide an important framework for the modeling and simulation of multipath fading channels. In this paper, we analyze the performance of SOC Rice/Rayleigh narrowband fading channel simulators with respect to the bit error probability (BEP) of quadrature phase shift keying (QPSK) and differential phase shift keying (DPSK) systems with both coherent and noncoherent demodulation. For the BEP of coherent QPSK and DPSK, exact analytical expressions are derived, which provide insight into the influence of the number of propagation paths and the path gains on the system performance. It will be shown that at least 10 multipath components are required to guarantee that the absolute value of the relative error of the BEP is less than 5%. Regarding the BEP of noncoherent DPSK, we show analytically and by simulations that the system performance reacts very sensitively to the model error caused by an imperfect computation of the channel simulator's Doppler frequencies. Our study is not only important for the performance evaluation of SOC‐based channel simulators but also for the performance evaluation of QPSK and DPSK systems in the presence of a limited number of scatterers. Especially for a small number of propagation paths with unbalanced path gains, where the central limit theorem does not apply, the derived analytical expressions for the BEP reveal their full importance.

show abstract