TY - JOUR
T1 - Minimizing Ground Risk in Cellular-Connected Drone Corridors with mmWave Links
AU - Singh, Simran
AU - Sichitiu, Mihail L.
AU - Güvenç, İsmail
AU - Bhuyan, Arupjyoti
N1 - DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.
PY - 2023/12
Y1 - 2023/12
N2 - 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. This research can be utilized to make UAS operations safe and reliable and accelerate their adoption.
AB - 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. This research can be utilized to make UAS operations safe and reliable and accelerate their adoption.
KW - 5G mobile communication
KW - A search
KW - Autonomous aerial vehicles
KW - Drones
KW - Internet of Things
KW - Millimeter wave communication
KW - Trajectory
KW - UTM
KW - Wireless communication
KW - beamforming
KW - conflict-based search (CBS)
KW - drone corridor
KW - ground risk
KW - mmWave
KW - multi-agent path finding (MAPF)
KW - unmanned aircraft system (UAS)
UR - https://ieeexplore.ieee.org/document/10209247/
UR - http://www.scopus.com/inward/record.url?scp=85166750507&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/f3fc97f1-d02d-3d1c-9006-26e5837eb15b/
U2 - 10.1109/TAES.2023.3301824
DO - 10.1109/TAES.2023.3301824
M3 - Article
SN - 2371-9877
VL - 59
SP - 7923
EP - 7937
JO - IEEE Transactions on Aerospace and Electronic Systems
JF - IEEE Transactions on Aerospace and Electronic Systems
IS - 6
M1 - 6
ER -