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The $\alpha$-$\eta$-$\kappa$-$\mu$ Fading Model: An Exact Statistical Representation

Information Theory 2023-06-13 v2 Signal Processing math.IT

Abstract

The α\alpha-η\eta-κ\kappa-μ\mu is one of the most generalized and flexible channel models having an excellent fit to experimental data from diverse propagation environments. The existing statistical results on the envelope of α\alpha-η\eta-κ\kappa-μ\mu model contain an infinite series involving regularized hypergeometric function and generalized Laguerre polynomial, prohibiting its widespread application in the performance analysis of wireless systems. In this paper, we employ a novel approach to derive density and distribution functions of the envelope of the α\alpha-η\eta-κ\kappa-μ\mu fading channel without an infinite series approximation. The derived statistical results are presented using a single Fox's H-function for tractable performance analysis and efficient numerical computations, especially for high-frequency mmWave and terahertz wireless transmissions. To gain insight into the distribution of channel envelope, we develop an asymptotic analysis using a more straightforward Gamma function converging to the exact within a reasonable range of channel parameters. To further substantiate the proposed analysis, we present the exact outage probability and average bit-error-rate (BER) performance of a wireless link subjected to the α\alpha-η\eta-κ\kappa-μ\mu fading model using a single tri-variate Fox's H-function. We obtain the diversity order of the system by analyzing the outage probability at a high signal-to-noise (SNR) ratio. We use numerical and simulation analysis to demonstrate the significance of the developed statistical results compared with the existing infinite series representation for the envelope of the α\alpha-η\eta-κ\kappa-μ\mu model.

Keywords

Cite

@article{arxiv.2211.07432,
  title  = {The $\alpha$-$\eta$-$\kappa$-$\mu$ Fading Model: An Exact Statistical Representation},
  author = {Pranay Bhardwaj and Eesha Santosh Karnawat and S. M. Zafaruddin},
  journal= {arXiv preprint arXiv:2211.07432},
  year   = {2023}
}

Comments

This work has been submitted to the IEEE for possible publication