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

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.

Authors
Козырев Д.В. (Kozyrev D.V.) 1 , Вишневский В.М. (Vishnevsky V.M.) 2 , Авраменко Ю.А. (Avramenko Yu.A.) 2 , Калмыков Н.С. (Kalmykov N.S.) 2 , Лашин М.В. (Lashin M.V.) 2
Publisher
International Institute for General Systems Studies
Issue number
25
Language
English
Pages
8-17
State
Published
Number
4
Year
2026
Organizations
  • 1 Peoples Friendship University of Russia named after Patrice Lumumba
  • 2 V.A.Trapeznikov Institute of Control Sciences of Russian Academy of Sciences
Keywords
hybrid computation approach; combination of simulation and ML methods; tethered drone; wireless network; stochastic polling
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