UAV selection for high-speed train communication using OTFS modulation
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 un...
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Nature Portfolio
2025-01-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-024-84354-8 |
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| author | Ehab Mahmoud Mohamed Sherief Hashima |
| author_facet | Ehab Mahmoud Mohamed Sherief Hashima |
| author_sort | Ehab Mahmoud Mohamed |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-736c7ece2ca24c7894591fc14339069a |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-736c7ece2ca24c7894591fc14339069a2025-02-02T12:21:23ZengNature PortfolioScientific Reports2045-23222025-01-0115111710.1038/s41598-024-84354-8UAV selection for high-speed train communication using OTFS modulationEhab Mahmoud Mohamed0Sherief Hashima1Department of Electrical Engineering, College of Engineering in Wadi Addawasir, Prince Sattam Bin Abdulaziz UniversityComputational Learning Theory Team, RIKEN-Advanced Intelligence ProjectAbstract 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.https://doi.org/10.1038/s41598-024-84354-8 |
| spellingShingle | Ehab Mahmoud Mohamed Sherief Hashima UAV selection for high-speed train communication using OTFS modulation Scientific Reports |
| title | UAV selection for high-speed train communication using OTFS modulation |
| title_full | UAV selection for high-speed train communication using OTFS modulation |
| title_fullStr | UAV selection for high-speed train communication using OTFS modulation |
| title_full_unstemmed | UAV selection for high-speed train communication using OTFS modulation |
| title_short | UAV selection for high-speed train communication using OTFS modulation |
| title_sort | uav selection for high speed train communication using otfs modulation |
| url | https://doi.org/10.1038/s41598-024-84354-8 |
| work_keys_str_mv | AT ehabmahmoudmohamed uavselectionforhighspeedtraincommunicationusingotfsmodulation AT sheriefhashima uavselectionforhighspeedtraincommunicationusingotfsmodulation |