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Ehab Mahmoud Mohamed1, Sherief Hashima2,3

  • 1Department of Electrical Engineering, College of Engineering in Wadi Addawasir, Prince Sattam Bin Abdulaziz University, 11991, Wadi Addawasir, Saudi Arabia. ehab_mahmoud@aswu.edu.eg.

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This study uses unmanned aerial vehicles (UAVs) for high-speed train (HST) wireless connectivity. It enables HSTs to estimate UAV altitude and speed for optimal connection, improving data rates and reducing handovers.

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Area of Science:

  • Wireless Communications
  • Aerial Networks
  • Signal Processing

Background:

  • High-speed trains (HSTs) require reliable wireless connectivity, but ground base stations are costly, especially in remote areas.
  • Unmanned aerial vehicles (UAVs) offer a flexible solution for providing wireless coverage to moving platforms like HSTs.

Purpose of the Study:

  • To develop a method for HSTs to autonomously select the optimal UAV for maximizing data rates and coverage duration.
  • To address the challenge of estimating UAV parameters (altitude, speed) for effective UAV selection.

Main Methods:

  • Utilizing channel parameters in the delay-Doppler (DD) domain with Orthogonal Time Frequency Space (OTFS) modulation.
  • Estimating relative speeds between HST and UAVs, and UAV flying altitudes based on DD domain channel characteristics.

Main Results:

  • Accurate estimation of UAV altitudes and relative speeds is achieved.
  • HSTs can predict UAV coverage periods, enabling informed selection of the best UAV based on remaining battery capacity.

Conclusions:

  • The proposed method effectively enhances wireless connectivity for HSTs using UAVs.
  • This approach optimizes UAV selection for improved data rates and reduced handover frequency, outperforming benchmarks.