Use of LoRa for UAV Remote ID with Multi-User Interference and Different Spreading Factors

Mujumdar, Omkar; Celebi, Haluk; Güvenç, İsmail; Sichitiu, Mihail L.; Hwang, Seung-won; Kang, Kicheon

doi:10.1109/vtc2021-spring51267.2021.9448804

Cited by 11 publications

(6 citation statements)

References 16 publications

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“…Its physical layer employs a private Chirp Spread Spectrum (CSS), with LoRaWAN as its MAC layer [222]. Within the framework of UAVs, the identifier of a UAV is transmitted with real-time status tracking through LoRa [223], as well as other data concerning cases of environmental disasters [224]. From a different perspective, LoRa is utilized along with UAV-embedded IoT devices to track merchandise and increase their location accuracy in [225], whereas in [226], LoRa was employed to link a UAV with air pollution monitoring stations.…”

Section: Communicationmentioning

confidence: 99%

Comprehensive Investigation of Unmanned Aerial Vehicles (UAVs): An In-Depth Analysis of Avionics Systems

Osmani,

Schulz

2024

Sensors

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The evolving technologies regarding Unmanned Aerial Vehicles (UAVs) have led to their extended applicability in diverse domains, including surveillance, commerce, military, and smart electric grid monitoring. Modern UAV avionics enable precise aircraft operations through autonomous navigation, obstacle identification, and collision prevention. The structures of avionics are generally complex, and thorough hierarchies and intricate connections exist in between. For a comprehensive understanding of a UAV design, this paper aims to assess and critically review the purpose-classified electronics hardware inside UAVs, each with the corresponding performance metrics thoroughly analyzed. This review includes an exploration of different algorithms used for data processing, flight control, surveillance, navigation, protection, and communication. Consequently, this paper enriches the knowledge base of UAVs, offering an informative background on various UAV design processes, particularly those related to electric smart grid applications. As a future work recommendation, an actual relevant project is openly discussed.

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Section: Communicationmentioning

confidence: 99%

Comprehensive Investigation of Unmanned Aerial Vehicles (UAVs): An In-Depth Analysis of Avionics Systems

Osmani,

Schulz

2024

Sensors

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“…Broadcast-based Remote ID utilizes individual ground receiver modules which receive Remote ID broadcasts from active drones and UAS [16]. In addition to Bluetooth and Wi-Fi, long-range (LoRA) radio has also been explored for broadcast-based Remote ID [17]. Our work focuses on the broadcast-based modality, as network-based Remote ID operates in a fundamentally different manner [18].…”

Section: B Related Literaturementioning

confidence: 99%

“…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%

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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“…Omkar et al present a study investigating the reliability and range of the LoRa to broadcast the remote ID [77]. This study quantifies the bit error rate performance and the spreading factors caused by two different interference scenarios to explore the impact on the reliability and coverage of the RID system based on the LoRa technology.…”

Section: ) Power Performance and Other Aspectsmentioning

confidence: 99%

Unmanned Aerial Vehicles’ Remote Identification: A Tutorial and Survey

et al. 2022

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UAV remote identification is an emerging technology that allows ground observers to identify a drone in the airspace and obtain information about it and its operator. The goal is to enhance safe operation over people and at night and protect public privacy. Two modes are known for remote identification: broadcast-based and network-based. Although the technical implementation of both modes seems to be straightforward, remote identification is challenging because it includes multiple agents that follow different interests such as safety, security, privacy, and businesses. Currently, enormous efforts for regulation, standardization, design, implementation, and testing are being made to put this technology forward. This paper aims to outline the landscape of these activities as a survey and tutorial to inform regulators, standardization organizations, industry, and researchers about the state of the art in this technology and to highlight its opportunities and challenges.

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Use of LoRa for UAV Remote ID with Multi-User Interference and Different Spreading Factors

Cited by 11 publications

References 16 publications

Comprehensive Investigation of Unmanned Aerial Vehicles (UAVs): An In-Depth Analysis of Avionics Systems

Comprehensive Investigation of Unmanned Aerial Vehicles (UAVs): An In-Depth Analysis of Avionics Systems

Remote Identification Trajectory Coverage in Urban Air Mobility Applications

Unmanned Aerial Vehicles’ Remote Identification: A Tutorial and Survey

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