Hybrid Computation Approach for Performance Evaluation of Broadband Wireless Networks based on Tethered High-Altitude Unmanned Platforms

Authors

  • Vladimir Vishnevsky V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, Moscow, Russia
  • Dmitry Kozyrev Peoples’ Friendship University of Russia (RUDN University), Moscow, Russia; V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, Moscow, Russia
  • Yurii Avramenko V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, Moscow, Russia
  • Nikita Kalmykov V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, Moscow, Russia
  • Mikhail Lashin V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, Moscow, Russia

DOI:

https://doi.org/10.25728/assa.2025.25.4.1964

Keywords:

hybrid computation approach, combination of simulation and ML methods, tethered drone, wireless network, stochastic polling

Abstract

This paper discusses the advantages of implementation of a broadband wireless network based on a tethered drone, and describes a novel hybrid approach based on a combination of analytical modeling, simulation and machine learning to the computation of its performance characteristics. The paper presents the calculation results for the increase in the telecommunications coverage area (line-of-sight zone) and the parameters of the communication channel between the base station (BS) located on the drone and the ground station (GS) within line-of-sight. A stochastic polling model with batch packet servicing is proposed to evaluate the network performance. A description is given of the interaction protocol between the BS and the GS for obtaining initial data for carrying out numerical calculations.

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Published

2026-01-10

How to Cite

Hybrid Computation Approach for Performance Evaluation of Broadband Wireless Networks based on Tethered High-Altitude Unmanned Platforms. (2026). Advances in Systems Science and Applications, 25(4), 8-17. https://doi.org/10.25728/assa.2025.25.4.1964