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Data · dataset · 2026

Ultra-reliable and low-latency communications for unmanned aerial vehicles networks

Listed in ZivaHub and Deakin Research Online and DMU Figshare — shown once because both records carry DOI 10.17034/32639607.v1

Unmanned aerial vehicles (UAVs) and ultra-reliable low-latency communication (URLLC) represent transformative advancements in modern technology.

Description

UAVs offer unprecedented flexibility and reach in various applications, from surveillance to delivery services. URLLC, a key component of 5G networks, ensures highly reliable and rapid data transmission, crucial for critical applications like autonomous driving and industrial automation.<br><br>This thesis explores the application of UAVs in URLLC networks.

Chapter 3 proposes an aerial reconfigurable intelligent surface system with UAVs for enhancing URLLC, employing zero-forcing beamforming and time division multiplexing access (TDMA). Chapter 4 introduces a digital twin framework for Internet-of-things (IoT) networks using UAVs as mobile edge computing servers, optimising communication and computation for low latency. Chapter 5 investigates multi-agent UAV systems with mobile edge computing for intelligent transport, aiming to improve quality-of-service and minimise energy consumption.

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The thesis demonstrates innovative UAV applications in URLLC environments, contributing a new insight into the field of wireless communication.<br><br>Overall, the thesis has integrated advanced UAV technologies with URLLC and mobile edge computing (MEC), emphasizing energy efficiency, latency reduction, and enhanced communication reliability. The combined use of artificial intelligence like deep neural network (DNN), and emerging techniques such as reconfigurable intelligent surface (RIS) and digital twin (DT), this study represents a new step forward in the application of UAV technologies in IoT networks.

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Provenance · 3 source records, 7 field assertions
SourceKeyLast seenRaw
ZivaHuboai:figshare.com:article/3263960713 d agoJSON v1
Deakin Research Onlineoai:figshare.com:article/3263960713 d agoJSON v1
DMU Figshareoai:figshare.com:article/3263960713 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].local:field:earth-environmentalmapping · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0
concepts[field].local:field:earth-environmentalmapping · figshare dmu ac ukconnector:figshare_dmu_ac_uk@1.0.0
concepts[field].local:field:earth-environmentalmapping · dro deakin edu auconnector:dro_deakin_edu_au@1.0.0
descriptionsource · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0/metadata/dc/description
license_textsource · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0
publication_datesource · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0
titlesource · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0/metadata/dc/title