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<p>The advent of 6G wireless communication systems (WCS) has spurred research into new channel modeling that accurately calibrates the characteristics of fluctuation in high-frequency terahertz (THz) wireless channels due to their wide bandwidth and potential for high data transmission rates. The signal fluctuations profoundly caused by intrinsic and extrinsic factors, i.e., significant free-space path loss in THz communications and signal attenuation due to distance traveling, lead to the multipath fading phenomenon in WCS. This paper illustrates the procedure for generating synthetic signals through a stochastic differential equation (SDE) and brings the Markovian project using Euler-Maruyama’s discretized scheme up to <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(O(10^7)\)</EquationSource> </InlineEquation>. The gamma distribution envelope, a form of the Meijer G function, is obtained through the Fokker-Planck equation’s steady-state solution. Here, the paper investigates crucial performance measures of practical interests, viz., average channel capacity (CC), amount of fading (AoF), and outage probability (OP), corresponding to the proposed model. The statistical confidence of channel performance is demonstrated through the use of error bars and confidence intervals. Finally, theoretical performance metrics agree well with their corresponding Monte Carlo simulation of order <InlineEquation ID="IEq2"> <EquationSource Format="TEX">\(O(10^7)\)</EquationSource> </InlineEquation>.</p>

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Stochastic Performance Modeling of Gamma Fading Channels for 6G THz Communications

  • 期刊论文

  • 发表日期：

    2025年12月8日

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  • Laxmipriya Das,
  • Sasmita Dash,
  • Saket Kumar Choudhary,
  • Amit Kumar Singh,
  • Dilip Senapati

摘要

The advent of 6G wireless communication systems (WCS) has spurred research into new channel modeling that accurately calibrates the characteristics of fluctuation in high-frequency terahertz (THz) wireless channels due to their wide bandwidth and potential for high data transmission rates. The signal fluctuations profoundly caused by intrinsic and extrinsic factors, i.e., significant free-space path loss in THz communications and signal attenuation due to distance traveling, lead to the multipath fading phenomenon in WCS. This paper illustrates the procedure for generating synthetic signals through a stochastic differential equation (SDE) and brings the Markovian project using Euler-Maruyama’s discretized scheme up to \(O(10^7)\) . The gamma distribution envelope, a form of the Meijer G function, is obtained through the Fokker-Planck equation’s steady-state solution. Here, the paper investigates crucial performance measures of practical interests, viz., average channel capacity (CC), amount of fading (AoF), and outage probability (OP), corresponding to the proposed model. The statistical confidence of channel performance is demonstrated through the use of error bars and confidence intervals. Finally, theoretical performance metrics agree well with their corresponding Monte Carlo simulation of order \(O(10^7)\) .