Urban Air Mobility (UAM) is envisioned as a key component of next-generation transportation systems, requiring highly reliable, low-latency, and high-throughput wireless connectivity to ensure safe and efficient aerial operations. Leveraging existing terrestrial mobile networks represents a cost-effective and scalable solution to support these demanding communication needs, offering flexible infrastructure, wide coverage, and seamless integration with future 6G technologies. This paper investigates the feasibility and advantages of employing mobile networks for UAM connectivity, with a particular focus on RAN-level optimization through vehicular-traffic awareness. By integrating information about planned trajectories and urban vehicle traffic conditions into the radio access decision process, the proposed approach aims to enhance link reliability and improve overall spectral efficiency, demonstrating the potential of mobile networks as a reliable enabler for large-scale and performance-critical UAM deployments.
6G Vehicular-Aware Ran Strategies for Urban Air Mobility Communications
Piccioni, Alex
;Marotta, Andrea;Battisti, Graziano;Cassioli, Dajana;Graziosi, Fabio
2026-01-01
Abstract
Urban Air Mobility (UAM) is envisioned as a key component of next-generation transportation systems, requiring highly reliable, low-latency, and high-throughput wireless connectivity to ensure safe and efficient aerial operations. Leveraging existing terrestrial mobile networks represents a cost-effective and scalable solution to support these demanding communication needs, offering flexible infrastructure, wide coverage, and seamless integration with future 6G technologies. This paper investigates the feasibility and advantages of employing mobile networks for UAM connectivity, with a particular focus on RAN-level optimization through vehicular-traffic awareness. By integrating information about planned trajectories and urban vehicle traffic conditions into the radio access decision process, the proposed approach aims to enhance link reliability and improve overall spectral efficiency, demonstrating the potential of mobile networks as a reliable enabler for large-scale and performance-critical UAM deployments.Pubblicazioni consigliate
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