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Abstract <p>Satellite communication systems based on low Earth orbit satellites are becoming increasingly popular. In 2022, 3GPP published Release 17 specifications, which describe the extension of the fifth-generation cellular systems (5G) to support 5G Non-Terrestrial Networks (NTNs), including the possibility of using low Earth orbit satellites for data transmission. In one of the considered 5G NTN deployment scenarios, the satellite is a base station that performs all functions related to data transmission and network management, including executing algorithms for radio resource management and selecting transmission parameters. Note that, unlike terrestrial 5G systems, a 5G NTN base station will serve a much higher number of users (from hundreds to thousands), which significantly increases the execution time of algorithms on the satellite. Parallel computing devices (e.g., multi-core processors or graphics processing units) can be used to reduce algorithm execution time. The paper develops a model for estimating algorithm execution time on such devices. It is shown how to use the model to configure a satellite computing device (e.g., select the number of cores) to satisfy a given constraint on the algorithm execution time.</p>

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Estimation of Algorithm Execution Time on a Satellite in 5G NTN Systems

  • 期刊论文

  • 发表日期：

    2025年8月1日

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  • A. E. Shashin,
  • M. V. Susloparov,
  • A. N. Krasilov

摘要

Abstract

Satellite communication systems based on low Earth orbit satellites are becoming increasingly popular. In 2022, 3GPP published Release 17 specifications, which describe the extension of the fifth-generation cellular systems (5G) to support 5G Non-Terrestrial Networks (NTNs), including the possibility of using low Earth orbit satellites for data transmission. In one of the considered 5G NTN deployment scenarios, the satellite is a base station that performs all functions related to data transmission and network management, including executing algorithms for radio resource management and selecting transmission parameters. Note that, unlike terrestrial 5G systems, a 5G NTN base station will serve a much higher number of users (from hundreds to thousands), which significantly increases the execution time of algorithms on the satellite. Parallel computing devices (e.g., multi-core processors or graphics processing units) can be used to reduce algorithm execution time. The paper develops a model for estimating algorithm execution time on such devices. It is shown how to use the model to configure a satellite computing device (e.g., select the number of cores) to satisfy a given constraint on the algorithm execution time.