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Moment-Based Parameter Estimation for the Γ-Parameterized TWDP Model.

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An Alternative Statistical Characterization of TWDP Fading Model.

Almir Maric1, Enio Kaljic1, Pamela Njemcevic1

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Summary

This study introduces a physically justified Two-Wave with Diffuse Power (TWDP) model for 5G and wireless sensor networks. It provides exact mathematical expressions for performance analysis, improving system evaluation in various fading conditions.

Keywords:
ASEPM-ary PSKMGFTWDP fading channel

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Area of Science:

  • Wireless communication systems
  • Signal processing
  • Statistical modeling

Background:

  • Two-Wave with Diffuse Power (TWDP) is crucial for modeling fading in 5G mmWave and wireless sensor networks.
  • Existing TWDP statistical characterizations have physical and mathematical limitations, hindering accurate system performance evaluation.

Purpose of the Study:

  • To propose a physically justified parameterization for the TWDP model.
  • To derive exact mathematical expressions for TWDP statistical properties (PDF, CDF, MGF).
  • To enable accurate system performance analysis, particularly for average symbol error probability (ASEP).

Main Methods:

  • Developed a physically justified TWDP parameterization.
  • Introduced exact infinite-series expressions for Probability Density Function (PDF) and Cumulative Distribution Function (CDF).
  • Derived the exact Moment Generating Function (MGF) of the Signal-to-Noise Ratio (SNR) and validated with Monte Carlo simulations.

Main Results:

  • Established a new, physically consistent TWDP parameterization.
  • Derived exact, mathematically tractable infinite-series PDF and CDF expressions.
  • Obtained an exact MGF suitable for performance analysis, leading to an exact ASEP for M-ary PSK, including a simplified asymptotic form for high SNR.

Conclusions:

  • The proposed TWDP parameterization and derived exact expressions overcome limitations of previous models.
  • The new framework allows for accurate system performance evaluation across diverse fading scenarios.
  • The findings are crucial for optimizing wireless communication systems employing the TWDP model.