Towards 6G UAV networks: experimental performance analysis

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dc.contributor.authorWarrier, Anirudh
dc.contributor.authorAl-Rubaye, Saba
dc.contributor.authorTsourdos, Antonios
dc.date.accessioned2025-01-06T15:13:50Z
dc.date.available2025-01-06T15:13:50Z
dc.date.freetoread2025-01-06
dc.date.issued2024-09-29
dc.date.pubOnline2024-11-15
dc.description.abstractUnmanned Aerial Vehicles (UAVs) are becoming increasingly prevalent across industries, from surveillance to delivery services, necessitating seamless handover between base stations for continuous operation and safety. Challenges arise due to the need to maintain connectivity and control as the UAV transitions between different access technologies, for Fifth Generation (5G) and beyond such as Sixth Generation (6G). Factors like altitude, mobility, and dynamic operation patterns pose hurdles to achieving smooth handovers critical for mission success. Traditional strategies often lack adaptability and efficiency, prompting the exploration of innovative approaches. To address these challenges, an experimental flight trial evaluates UAV handover performance in a heterogeneous network environment compared to simulation-level analysis. The trial involves UAV flight in an urban area with non-standalone (NSA) 6G connectivity, monitoring key performance indicators (KPIs) such as reference signal received power (RSRP), signal-to-noise interference ratio (SINR), throughput, and number of handovers. The system architecture encompasses an airborne measurement platform (DJI F450 UAV with XCAL mobile measurement tool and Pixhawk 4 Autopilot) and a ground-based counterpart interfacing through the core network. The analysis focuses on three key metrics: RSRP, RSRQ, and SINR, revealing temporary interruptions attributed to the UAV's exclusive connection to the wireless network. Insights from experimental trials highlight complexities and challenges associated with UAV handover performance, informing the design of improved protocols and communication systems. By addressing these challenges, the aim is to enhance operational reliability and mission success, unlocking the full potential of UAV technology across applications like surveillance, reconnaissance, delivery services, and more.
dc.description.conferencename2024 AIAA DATC/IEEE 43rd Digital Avionics Systems Conference (DASC)
dc.description.sponsorshipEngineering and Physical Sciences Research Council
dc.description.sponsorshipThis work is funded by the UKRI- EPSRC CHEDDAR Project - Communications Hub for Empowering Distributed Cloud Computing Applications and Research) under grant numbers EP/X040518/1 and EP/Y037421/1.
dc.identifier.citationWarrier A, Al-Rubaye S, Tsourdos A. (2024) Towards 6G UAV networks: experimental performance analysis. In: 2024 AIAA DATC/IEEE 43rd Digital Avionics Systems Conference (DASC), 29 September 2024 - 3 October 2024, San Diego, CA, USA
dc.identifier.eissn2155-7209
dc.identifier.elementsID559339
dc.identifier.issn2155-7195
dc.identifier.urihttps://doi.org/10.1109/dasc62030.2024.10749391
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/23321
dc.language.isoen
dc.publisherIEEE
dc.publisher.urihttps://ieeexplore.ieee.org/document/10749391
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject4605 Data Management and Data Science
dc.subject46 Information and Computing Sciences
dc.subject7 Affordable and Clean Energy
dc.titleTowards 6G UAV networks: experimental performance analysis
dc.typeConference paper
dcterms.coverageSan Deigo, CA. USA
dcterms.dateAccepted2024-03-22
dcterms.temporal.endDate3 Oct 2024
dcterms.temporal.startDate29 Sep 2024

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