Unlicensed Technology Assessment for Uas Communications

Kuroda, Vanessa; Egorov, Maxim; Munn, Steven; Evans, Antony

doi:10.1109/icns50378.2020.9222903

Cited by 5 publications

(3 citation statements)

References 3 publications

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“…Our work focuses on the broadcast-based modality, as network-based Remote ID operates in a fundamentally different manner [18]. Our planar setup of ground station receivers and broadcast drone trajectories align with previous work in [19] and [17]; for [19], an analysis of Bluetooth and Wi-Fi coverage in one hub-and-spoke network topology was performed using simulations. Our work complements and extends [19] via an analytical derivation of expected coverage proportions, as well as realistic, random Remote ID receiver placements within a realistic UAM operating geography.…”

Section: B Related Literaturementioning

confidence: 99%

“…For our idealized analysis, we assumed specific geometries and overlaps between the coverage area and the environment. Furthermore, for both the idealized analysis and the urban case study, we made simplifying assumptions regarding drone dynamics as well as the reception capabilities of the Remote ID receiver (e.g., [19] focuses on communication bandwidth in Remote ID setups). Readily-available extensions include performing the coverage characterization using different city geographies, such as New York City and Los Angeles (see…”

Section: A Limitations and Future Workmentioning

confidence: 99%

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Remote Identification Trajectory Coverage in Urban Air Mobility Applications

Huang¹,

Mazotti²,

Kim³

et al. 2023

Preprint

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As Urban Air Mobility (UAM) and Advanced Air Mobility (AAM) continue to mature, a safety-critical system that will need to be implemented in tandem is Remote Identification (Remote ID) for uncrewed aircraft systems (UAS). To ensure successful and efficient deployment (e.g., maximal surveillance of UAS trajectories), as well as to better understand secondary impacts (e.g., consumer privacy risks in collecting real-time UAS trajectory information), the coverage of broadcast-receive Remote ID architectures needs to be characterized. Motivated by this need, we examine theoretical and empirical trajectory coverage of several common Remote ID technologies (e.g., Bluetooth, Wi-Fi) deployed for urban package delivery missions, a commonly-cited use case for UAM and AAM. We derive methods to explicitly compute expected coverage proportions under idealized geometries, as well as conduct case studies with realistic city geographies and UAS path planning algorithms. An example of results include approximate magnitudes of Remote ID receivers needed (approximately 500-5000 receivers needed to achieve 50-95% coverage for Bluetooth Legacy, and approximately 10-40 receivers needed for the same coverage range for Wi-Fi NAN/Beacon, assuming a cruise altitude of 200 feet) to achieve specific trajectory coverage proportions for San Francisco, California. Our analyses, combined with complementary works related to Remote ID bandwidth and deployment topologies, can help guide municipal authorities and AAM stakeholders in future Remote ID system deployments and upkeep.

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Section: B Related Literaturementioning

confidence: 99%

Section: A Limitations and Future Workmentioning

confidence: 99%

Remote Identification Trajectory Coverage in Urban Air Mobility Applications

Huang¹,

Mazotti²,

Kim³

et al. 2023

Preprint

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show abstract

“…This publication explained the simulation used to assess the Bluetooth and Wi-Fi performance, to broadcast the Remote ID protocol. It found that to avoid saturation, a significant number of ground antennas will be required to support high-density traffic [63]. It is related to the small coverage area of Remote ID broadcast.…”

Section: Remote Id Researchmentioning

confidence: 99%

UAS Traffic Management Communications: The Legacy of ADS-B, New Establishment of Remote ID, or Leverage of ADS-B-Like Systems?

Ruseno

Lin

Chang

2022

Drones

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Unmanned aerial system (UAS) traffic management (UTM) requires each UAS to communicate with each other and to other stakeholders involved in the operation. In practice, there are two types of wireless communication systems established in the UAS community: automatic dependent surveillance broadcast (ADS-B) and remote identification (Remote ID). In between these two systems, there is ADS-B-like communication which leverages using other types of communications available in the market for the purpose of UTM. This review aims to provide an insight into those three systems, based on the published standard documents and latest research development. It also suggests how to construct a feasible communication architecture. The integrative approach is used in this literature review. The review categorization includes definition, data format, technology used, and research applications, and any remaining issues are discussed. The similarities and differences of each system are elaborated, covering practical findings. In addition, the SWOT analysis is conducted based on the findings. Lastly, multi-channel communication for UTM is proposed as a feasible solution in the UTM operation.

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Survey on Worldwide Implementation of Remote Identification and Discussion on Drone Identification in China

He¹,

Tan²

2021

2021 IEEE 3rd International Conference on Civil Aviation Safety and Information Technology (ICCASIT)

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Unlicensed Technology Assessment for Uas Communications

Cited by 5 publications

References 3 publications

Remote Identification Trajectory Coverage in Urban Air Mobility Applications

Remote Identification Trajectory Coverage in Urban Air Mobility Applications

UAS Traffic Management Communications: The Legacy of ADS-B, New Establishment of Remote ID, or Leverage of ADS-B-Like Systems?

Survey on Worldwide Implementation of Remote Identification and Discussion on Drone Identification in China

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