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<p>In recent times, wireless communication focuses on enhancing power saving in High Altitude Platform Station (HAPS). A HAPS is a network element functioning at an altitude ranging approximately from 17 to 20&#xa0;kms within the stratosphere (Kurt et al. in IEEE Commun Surv Tutor 23(2):729–779, 2021). In this study, we utilizes a fluid queue model to illustrate HAPS Lithium Ion (Li-ion) battery reliability, depicting states corresponding to energy consumption. We investigate how activating a power-saving mode impacts the HAPS battery durability that undergoes randomly determined charging and discharging cycles based on availability of solar energy resources. To achieve this, we employ a two dimensional fluid queue model with a set threshold. Once the power level drops beneath this threshold (e.g., <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(15 \%\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mn>15</mn> <mo>%</mo> </mrow> </math></EquationSource> </InlineEquation> charge remaining), the device enters a power-saving mode, reducing the discharge rate. By analyzing this model, Cumulative Density Function (CDF) are derived based on their energy consumption. Furthermore, this method facilitates estimating the expected battery life and reliability within this model.</p>

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Stochastic fluid queue modelling and its analysis for power saving in high altitude platform station system: an analytical approach

  • 期刊论文

  • 发表日期：

    2025年4月15日

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  • Anupam Gautam,
  • Ishu Jain

摘要

In recent times, wireless communication focuses on enhancing power saving in High Altitude Platform Station (HAPS). A HAPS is a network element functioning at an altitude ranging approximately from 17 to 20 kms within the stratosphere (Kurt et al. in IEEE Commun Surv Tutor 23(2):729–779, 2021). In this study, we utilizes a fluid queue model to illustrate HAPS Lithium Ion (Li-ion) battery reliability, depicting states corresponding to energy consumption. We investigate how activating a power-saving mode impacts the HAPS battery durability that undergoes randomly determined charging and discharging cycles based on availability of solar energy resources. To achieve this, we employ a two dimensional fluid queue model with a set threshold. Once the power level drops beneath this threshold (e.g., \(15 \%\) 15 % charge remaining), the device enters a power-saving mode, reducing the discharge rate. By analyzing this model, Cumulative Density Function (CDF) are derived based on their energy consumption. Furthermore, this method facilitates estimating the expected battery life and reliability within this model.