Enhanced In-Flight Connectivity for Urban Air Mobility via LEO Satellite Networks
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866910482106941440 |
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| author | Biswas, Karnika Ghazzai, Hakim Khanfor, Abdullah Sboui, Lokman |
| author_facet | Biswas, Karnika Ghazzai, Hakim Khanfor, Abdullah Sboui, Lokman |
| contents | Urban Air Mobility (UAM) is the envisioned future of inter-city aerial transportation. This paper presents a novel, in-flight connectivity link allocation method for UAM, which dynamically switches between terrestrial cellular and Low Earth Orbit (LEO) satellite networks based on real-time conditions. Our approach prefers cellular networks for cost efficiency, switching to LEO satellites under poor cellular conditions to ensure continuous UAM connectivity. By integrating real-time metrics like signal strength, network congestion, and flight trajectory into the selection process, our algorithm effectively balances cost, minimum data rate requirements, and continuity of communication. Numerical results validate minimization of data-loss while ensuring an optimal selection from the set of available above-threshold data rates at every time sample. Furthermore, insights derived from our study emphasize the importance of hybrid connectivity solutions in ensuring seamless, uninterrupted communication for future urban aerial vehicles. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_07298 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Enhanced In-Flight Connectivity for Urban Air Mobility via LEO Satellite Networks Biswas, Karnika Ghazzai, Hakim Khanfor, Abdullah Sboui, Lokman Emerging Technologies Signal Processing Urban Air Mobility (UAM) is the envisioned future of inter-city aerial transportation. This paper presents a novel, in-flight connectivity link allocation method for UAM, which dynamically switches between terrestrial cellular and Low Earth Orbit (LEO) satellite networks based on real-time conditions. Our approach prefers cellular networks for cost efficiency, switching to LEO satellites under poor cellular conditions to ensure continuous UAM connectivity. By integrating real-time metrics like signal strength, network congestion, and flight trajectory into the selection process, our algorithm effectively balances cost, minimum data rate requirements, and continuity of communication. Numerical results validate minimization of data-loss while ensuring an optimal selection from the set of available above-threshold data rates at every time sample. Furthermore, insights derived from our study emphasize the importance of hybrid connectivity solutions in ensuring seamless, uninterrupted communication for future urban aerial vehicles. |
| title | Enhanced In-Flight Connectivity for Urban Air Mobility via LEO Satellite Networks |
| topic | Emerging Technologies Signal Processing |
| url | https://arxiv.org/abs/2406.07298 |