UAV selection for high-speed train communication using OTFS modulation

Providing continuous wireless connectivity for high-speed trains (HSTs) is challenging due to their high speeds, making installing numerous ground base stations (BSs) along the HST route an expensive solution, particularly in rural and wilderness areas. This paper proposes using multiple unmanned aerial vehicles (UAVs) to deliver high data rate wireless connectivity for HSTs, taking advantage of their ability to fly, hover, and maneuver at low altitudes. However, autonomously selecting the optimal UAV by the HST is challenging. The chosen UAV should maximize the HST's achievable data rate and provide an extended HST coverage period to minimize frequent UAV handovers constrained by the UAV's limited battery capacity. The optimization challenge arises from accurately estimating each UAV's expected coverage period for the HST, given both are moving at high speeds and the UAV's flying altitude is unknown to the HST. This paper utilizes the estimated HST-UAV channel parameters in the delay-doppler (DD) domain, employing orthogonal time frequency space (OTFS) modulation, to estimate the relative speeds between the HST and UAVs, as well as the UAVs' flying altitudes. Based on these estimates, HST can predict the maximum coverage period each UAV provides, allowing for selecting the best UAV while considering their remaining battery capacities. Numerical analysis demonstrates the effectiveness of the proposed approach compared to other benchmarks in various scenarios.

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Publication Details

Journal
Scientific Reports
Published
2025-01-27
DOI
https://doi.org/10.1038/s41598-024-84354-8
Citations
2
Primary Topic
PAPR reduction in OFDM
Type
article
Field-Weighted Citation Impact
1.46

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article

UAV selection for high-speed train communication using OTFS modulation

Sherief Hashima, Ehab Mahmoud Mohamed
2 citations
Scientific Reports
PAPR reduction in OFDM
1.46
article

UAV selection for high-speed train communication using OTFS modulation

Sherief Hashima, Ehab Mahmoud Mohamed
article en
2 citations

Abstract

Providing continuous wireless connectivity for high-speed trains (HSTs) is challenging due to their high speeds, making installing numerous ground base stations (BSs) along the HST route an expensive solution, particularly in rural and wilderness areas. This paper proposes using multiple unmanned aerial vehicles (UAVs) to deliver high data rate wireless connectivity for HSTs, taking advantage of their ability to fly, hover, and maneuver at low altitudes. However, autonomously selecting the optimal UAV by the HST is challenging. The chosen UAV should maximize the HST's achievable data rate and provide an extended HST coverage period to minimize frequent UAV handovers constrained by the UAV's limited battery capacity. The optimization challenge arises from accurately estimating each UAV's expected coverage period for the HST, given both are moving at high speeds and the UAV's flying altitude is unknown to the HST. This paper utilizes the estimated HST-UAV channel parameters in the delay-doppler (DD) domain, employing orthogonal time frequency space (OTFS) modulation, to estimate the relative speeds between the HST and UAVs, as well as the UAVs' flying altitudes. Based on these estimates, HST can predict the maximum coverage period each UAV provides, allowing for selecting the best UAV while considering their remaining battery capacities. Numerical analysis demonstrates the effectiveness of the proposed approach compared to other benchmarks in various scenarios.

Scientific ReportsVol. 15(1)
Prince Sattam Bin Abdulaziz University (SA), Egyptian Atomic Energy Authority (EG), RIKEN Center for Advanced Intelligence Project (JP)
Prince Sattam bin Abdulaziz University, Japan Society for the Promotion of Science
Affordable and clean energy
Openalex Percentile: Top 20%
PAPR reduction in OFDM
1.46
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