Leveraging the Gaussian Q-Function Approximation for Error Metrics Assessment of Digital Modulation Schemes in α–κ–μ Fading Channel
Leveraging the Gaussian Q-Function Approximation for Error Metrics Assessment of Digital Modulation Schemes in α–κ–μ Fading Channel |
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| © 2024 by IJETT Journal | ||
| Volume-72 Issue-7 |
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| Year of Publication : 2024 | ||
| Author : Jyoti Gupta, Ashish Goel |
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| DOI : 10.14445/22315381/IJETT-V72I7P132 | ||
How to Cite?
Jyoti Gupta, Ashish Goel, "Leveraging the Gaussian Q-Function Approximation for Error Metrics Assessment of Digital Modulation Schemes in α–κ–μ Fading Channel," International Journal of Engineering Trends and Technology, vol. 72, no. 7, pp. 296-301, 2024. Crossref, https://doi.org/10.14445/22315381/IJETT-V72I7P132
Abstract
This research includes the application of a Gaussian Q-function approximation for the error metrics analysis of communication systems. The Bit Error Rate (BER) and Symbol Error Probability (SEP) are paramount metrics for assessing wireless communication systems. The inherent fluctuation in signal intensity induced by fading effects necessitates a thorough analysis of error performance. The Gaussian Q-function appears to be an effective mathematical tool for calculating error probability in the context of random changes in channel strength. The Gaussian Q-function approximation is crucial for dealing with fading channels in communication systems. Leveraging the Gaussian Q-function approximations simplifies computations, boosting the utility of the proposed methodology in real-world communication scenarios. The present work generates a more accurate and simple approximate solution for error rate analysis for numerous modulation techniques. In this paper, we used popular digital modulation techniques for the application of Gaussian Q-function approximation in α–κ–μ fading distribution. Monte-Carlo simulations validated the analytical results and accuracy of the proposed closed-form expression for various digital modulation schemes.
Keywords
Error metrics, α–κ–μ fading, Gaussian Q-function and Digital modulation schemes.
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