Minimizing Ground Risk in Cellular-Connected Drone Corridors With mmWave Links

Singh, Simran; Sichitiu, Mihail L.; Güvenç, İsmail; Bhuyan, Arupjyoti

doi:10.1109/taes.2023.3301824

Minimizing Ground Risk in Cellular-Connected Drone Corridors With mmWave Links

Journal Article · Fri Aug 04 00:00:00 EDT 2023 · IEEE Transactions on Aerospace and Electronics Systems

DOI:https://doi.org/10.1109/taes.2023.3301824· OSTI ID:2479677

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North Carolina State University, Raleigh, NC (United States)
Idaho National Laboratory (INL), Idaho Falls, ID (United States)

Unmanned Aircraft Systems (UASs) have been receiving significant interest and support from academia, industry, and regulatory bodies over the past decade due to their various use cases. To safely integrate UAS operations into the national airspace, particularly overpopulated regions, the risk posed to ground users, buildings, and vehicles due to unmanned aerial vehicle (UAV) flight should be minimized. This risk can be represented by a numerical metric, which we refer to in this article as the “ground risk.” Many UAS applications also depend on the presence of a reliable wireless communication link between the UAV and a control station for the transmission of UAV position, surveillance video, UAV payload commands, and other mission-related data. Such wireless communication requirements also need to be considered in the design of UAS operations. In this article, we consider both these aspects and study the design of nonintersecting trajectories for UAS operations to minimize ground risk, subject to constraints on the wireless signal strength and geometry of the trajectory, specified in terms of: 1) an enclosing cylinder within which the trajectory must lie and 2) an integrated angular change along the UAV's trajectory. The performance of a computationally expensive optimal algorithm is compared with that of a computationally faster heuristic approach within the dense urban environment of Manhattan, NY, USA. Performance evaluation using ray-tracing simulations shows that the heuristic approach performs close to the optimal algorithm at a reduced computation cost. In conclusion, this research can be utilized to make UAS operations safe and reliable and accelerate their adoption.

View Accepted Manuscript (DOE)

Research Organization:: Idaho National Laboratory (INL), Idaho Falls, ID (United States)

Sponsoring Organization:: USDOE Laboratory Directed Research and Development (LDRD) Program; National Science Foundation (NSF)

Grant/Contract Number:: AC07-05ID14517

OSTI ID:: 2479677

Report Number(s):: INL/JOU-24-80952-Rev000

Journal Information:: IEEE Transactions on Aerospace and Electronics Systems, Journal Name: IEEE Transactions on Aerospace and Electronics Systems Journal Issue: 6 Vol. 59; ISSN 0018-9251

Publisher:: IEEECopyright Statement

Country of Publication:: United States

Language:: English

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