Asymptotic Performance Analysis of Diversity-Enabled Finite-Block length Systems over the Family of Single and Double Shadowed κ-μ Fading Channels

Authors

  • Ankit Jain Department of ECE, Integral University, Lucknow, India.
  • Imran Ullah Khan Department of ECE, Integral University, Lucknow, India.
  • Puspraj Singh Chauhan Department of ECE, Pranveer Singh Institute of Technology, Kanpur, India.
  • Utkarsh Pandey Department of ECE, Pranveer Singh Institute of Technology, Kanpur, India.
  • Vimal Bhatia Department of Electrical Engineering, IIT, Indore, India.

DOI:

https://doi.org/10.70917/ijcisim-2026-4601

Keywords:

Bit Error Rate, Diversity, Fading, Gaussian Noise

Abstract

The analytical complexity inherent in the family of κ−μ/shadowed fading family often restricts its practical applicability in diversity-based systems and complicates the direct interpretation of performance metrics for wireless communication systems. To overcome these challenges, this work proposes a unified and simplified asymptotic framework for the family of κ−μ/shadowed fading models, accommodating both single and double shadowing scenarios with diversity. Initially, we derive the fundamental probability density function expressions for single-input and single-output (SISO) system than extended it with employing selection combining (SC) schemes. Building on this, asymptotic analysis of short-packet communication performance metrics, specifically average block error rate and delay outage rate, is presented. The framework is further extended to quantify diversity and signal-to-noise ratio (SNR) gains. At last, we validated the analytical finding with Monte-Carlo simulations and found these results to be in close-agreement, confirming the accuracy of the provided formulations.

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Published

2026-08-12

How to Cite

Ankit Jain, Imran Ullah Khan, Puspraj Singh Chauhan, Utkarsh Pandey, & Vimal Bhatia. (2026). Asymptotic Performance Analysis of Diversity-Enabled Finite-Block length Systems over the Family of Single and Double Shadowed κ-μ Fading Channels. International Journal of Computer Information Systems and Industrial Management Applications, 18(16s), 707–719. https://doi.org/10.70917/ijcisim-2026-4601

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Section

Original Articles