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Updated: Feb 26, 2026

Quasi-light Storage for Optical Data Packets

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Published on: February 6, 2014

Análisis de rendimiento sobre canales de desvanecimiento q-Weibull para la evaluación de la probabilidad de error de

Sarbeswar Samal¹, Sujata Chakravarty¹, Tanmay Mukherjee²

¹Department of Computer Science and Engineering, Centurion University of Technology and Management, Jatni, Bhubaneswar, Odisha, 752050, India.

Scientific reports

|February 24, 2026

Abstract:

This research presents a tight and closed technique towards approximating the Gaussian Q-function for evaluating a critical performance metric, the symbol error probability (SEP), across wireless fading environments. The Gauss-Legendre four-point rule is employed to derive the exponential-type approximation, exhibiting a higher degree of agreement compared to other approximation techniques currently used in SEP computation. Considering the entire low-to-high range of input signal-to-noise ratio (SNR), this approximation provides a tighter fit throughout the range. In addition, this approximation technique is employed to achieve an analytical solution for SEP integrals over the q-Weibull fading channel, which introduces the entropic index q originating from Tsallis' entropy. By adjusting the range of the entropic index q, this single-statistic fading distribution exhibits adaptive behavior and provides a tighter fit over the synthetic signal than the commonly used composite Weibull-Lognormal distribution. In this context, it is valuable to obtain the analytical solution of the SEP over this fading model for different values of the parameter q and the shape parameter λ. Further, performance measures viz., Level Crossing Rate (LCR) and Average Fade Duration (AFD) are also obtained over the q-Weibull fading model.

Palabras clave:

distribución q-Weibull aproximación de tipo exponencial función Q gaussiana evaluación de rendimiento probabilidad de error de símbolo desvanecimiento inalámbrico

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