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Paper ID:IJSREM66652

Rayleigh Fading in Wireless Communication: A Comprehensive Study

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM66652

Volume:

10 |

8 |

Aug 2026

Pages:

1-5

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM66652

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

FF

FLOWERY FRANCIS

Statistics

Sri. C. Achutha Menon Government College, Thrissur

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JJ

JEENA JOSEPH

Statistics

St. Thomas College (Autonomous), Thrissur

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Abstract

The Rayleigh distribution has come to occupy a central position in the statistical modelling of wireless communication, particularly in the characterization of fading channels. This paper reviews the application of the Rayleigh distribution in wireless communication systems, focusing largely on channel modelling under different fading environments. The work outlines the major developments, the methodologies employed, and the analytical insights obtained, emphasising the utility of the model in optimising network performance and system reliability. The theoretical discussion is supported by graphical analyses of system performance, illustrating the behaviour of the distribution under distinct scenarios. The findings reflect the importance of statistical modelling in addressing the complexities of the wireless channel, and lay a foundation for further developments.

KEYWORDS

Rayleigh Fading Wireless Communication Signal-to-Noise Ratio Bit Error Rate Channel Modelling Fading Channels Diversity Techniques Adaptive Modulation.

Cite This Article

FLOWERY FRANCIS, JEENA JOSEPH, "Rayleigh Fading in Wireless Communication: A Comprehensive Study," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 8, pp. 1-5, Aug 2026. https://doi.org/10.55041/IJSREM66652

Full Article/Conclusion

The Rayleigh distribution continues to hold a vital position in the field of wireless communication, particularly in the modelling and analysis of fading channels under Non-Line-Of-Sight (NLOS) conditions. Through this study, the theoretical foundations and the practical implications of Rayleigh fading have been examined in detail. The simulation results and graphical analyses have confirmed that Rayleigh fading significantly impacts both the reliability and the efficiency of wireless communication systems. High bit error rates (BER) at low SNR levels, and limited channel capacity growth at higher SNR, highlight the challenges posed by such fading environments. Without a dominant line-of-sight component, signals suffer from severe multipath effects, leading to performance degradation if not properly addressed. In addition, the comparison between Rayleigh and Rician fading scenarios has further shown that Rayleigh environments are more demanding, requiring advanced system designs to preserve an acceptable quality of service. Techniques such as diversity methods, adaptive modulation, and robust error control strategies are essential in order to offset the effects of severe fading. This review not only illustrates the enduring relevance of Rayleigh fading in current communication technologies but also points towards its continued significance in emerging areas such as 5G, vehicular networks, and the Internet of Things (IoT). As wireless networks become denser and more complex, understanding and mitigating Rayleigh fading will be critical for ensuring system reliability, efficiency, and user satisfaction. In conclusion, the Rayleigh fading model remains a cornerstone of wireless communication research and system design. The insights gained through the theoretical analysis and simulations in this study can serve as a valuable reference for engineers, researchers, and system designers working to develop the next generation of robust and efficient wireless communication systems.

References

1.       Agrawal, R., Karmeshu, & Sehgal, A. (2022). Composite channel model for wireless propagation with wide-range signal variation using Rayleigh–generalized inverse Gaussian distribution. Iranian Journal of Science and Technology, Transactions of Electrical Engineering, 46(1), 25–36. Springer. 2.       Babu, A. S., & Rao, K. V. S. (2011). Evaluation of BER for AWGN, Rayleigh and Rician fading channels under various modulation schemes. International Journal of Computer Applications, 26(9), 23–28. 3.       Elmusrati, M., Tarhuni, N., & Jäntti, R. (2009). Performance analysis of random uniform power allocation for wireless networks in Rayleigh fading channels. European Transactions on Telecommunications, 20(4), 457–462. Wiley. 4.       Frolik, J. (2007). A case for considering hyper-Rayleigh fading channels. IEEE Transactions on Wireless Communications, 6(4), 1235–1239. IEEE. 5.       Gómez-Déniz, E., & Gómez-Déniz, L. (2013). A generalisation of the Rayleigh distribution with applications in wireless fading channels. Wireless Communications and Mobile Computing, 13(1), 85–94. Wiley. 6.       Gutiérrez, C. A., Jaime-Rodríguez, J. J., Luna-Rivera, J. M., Campos-Delgado, D. U., & Vázquez Castillo, J. (2017). Modeling of non-WSSUS double-Rayleigh fading channels for vehicular communications. Wireless Communications and Mobile Computing, 2017, 1–15. 7.       Haenggi, M. (2005). On routing in random Rayleigh fading networks. IEEE Transactions on Wireless Communications, 4(4), 1553–1562. IEEE. 8.       Hajri, N., Youssef, N., Kawabata, T., Pätzold, M., & Dahech, W. (2018). Statistical properties of double Hoyt fading with applications to the performance analysis of wireless communication systems. IEEE Access, 6, 19597–19609. IEEE. 9.       Haneche, H., Ouahabi, A., & Boudraa, B. (2019). New mobile communication system design for Rayleigh environments based on compressed sensing–source coding. IET Communications, 13(15), 2375–2385. Wiley. 10.    Krstić, D., Stefanović, M., Minić, S., & Perić, M. (2018). Analysis of ratio of one and product of two Rayleigh random variables and its application in telecommunications. International Journal of Communications, 3, 32–38.

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Publication Date

8/10/2026

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