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Coverage Analysis for High-Speed Railway Communications with Narrow-Strip-Shaped Cells over Suzuki Fading Channels.

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High-speed railway (HSR) communication requires narrow-strip cell coverage. Ignoring small-scale fading in HSR coverage analysis leads to inaccurate results, as this study demonstrates its significant impact.

Keywords:
Suzuki fadingcoverage performanceedge coverage probabilityhigh-speed railway communicationsnarrow-strip-shaped cellpercentage of cell coverage area

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Area of Science:

  • Wireless Communications
  • Telecommunications Engineering
  • Signal Processing

Background:

  • Traditional mobile communications use circular cells, unsuitable for high-speed railway (HSR) environments.
  • Existing HSR coverage analyses often neglect small-scale fading, leading to performance underestimation.
  • Accurate coverage analysis is crucial for reliable HSR communication systems.

Purpose of the Study:

  • To analyze the coverage performance of narrow-strip-shaped cells in HSR communications.
  • To develop analytical expressions for edge coverage probability (ECP) and cell coverage area (CCA) under Suzuki fading.
  • To quantify the impact of small-scale fading on HSR communication coverage.

Main Methods:

  • Modeling the HSR channel with path loss, lognormal shadowing, and Rayleigh small-scale fading (Suzuki channel).
  • Deriving statistical characteristics of the received signal-to-noise ratio (SNR).
  • Obtaining analytical expressions for ECP and CCA, and verifying them via Monte Carlo simulations.

Main Results:

  • Analytical expressions for ECP and CCA were derived for HSR narrow-strip cells.
  • The study established a link between edge and average coverage performance.
  • Small-scale fading significantly impacts HSR coverage and cannot be disregarded.

Conclusions:

  • The derived analytical expressions accurately predict HSR coverage performance.
  • Small-scale fading is a critical factor in HSR communication coverage analysis.
  • Understanding the influence of various parameters is essential for optimizing HSR network design.