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Approximating Shadowed Rician Model to Other Simpler Models

Approximating Shadowed Rician Model to Other Simpler Models

Wassim Yassin Aljuneidi, Yasser M. Jaamour, Khaldoun Khorzom
Copyright: © 2016 |Volume: 7 |Issue: 1 |Pages: 29
ISSN: 1947-3176|EISSN: 1947-3184|EISBN13: 9781466692046|DOI: 10.4018/IJERTCS.2016010101
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MLA

Aljuneidi, Wassim Yassin, et al. "Approximating Shadowed Rician Model to Other Simpler Models." IJERTCS vol.7, no.1 2016: pp.1-29. http://doi.org/10.4018/IJERTCS.2016010101

APA

Aljuneidi, W. Y., Jaamour, Y. M., & Khorzom, K. (2016). Approximating Shadowed Rician Model to Other Simpler Models. International Journal of Embedded and Real-Time Communication Systems (IJERTCS), 7(1), 1-29. http://doi.org/10.4018/IJERTCS.2016010101

Chicago

Aljuneidi, Wassim Yassin, Yasser M. Jaamour, and Khaldoun Khorzom. "Approximating Shadowed Rician Model to Other Simpler Models," International Journal of Embedded and Real-Time Communication Systems (IJERTCS) 7, no.1: 1-29. http://doi.org/10.4018/IJERTCS.2016010101

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Abstract

Shadowed Rician model is considered to be the most appropriate that is used to characterize the impairments seen in wireless channels, which suffer Line-Of-Sight (LOS) shadowing and small-scale fading. In this model, the Probability Density Function (PDF) of the Signal to Noise Ratio (SNR) per symbol needs numerical solutions to be evaluated. More than that, for some values of the fading parameters, the numerical solution converging too slowly, and so needs too much time to be evaluated. This is considered as a problem in real time applications where delay is a critical issue. In this paper, the authors present and prove approximations for Shadowed Rician model according to the values of the fading parameters, which are the Rice factor and the Shadowing standard deviation. With the proposed approximation, the required PDF could be written in intervals which make it easier to calculate at parameters values that causes slow converging.

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