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.
Links
Where it is published
- DOI doi.org/10.17034/32639607.v1 ↗
DOI / persistent id · from zivahub uct ac za
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from zivahub uct ac za
Topics
Provenance · 3 source records, 7 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ZivaHub | oai:figshare.com:article/32639607 | 13 d ago | JSON v1 |
| Deakin Research Online | oai:figshare.com:article/32639607 | 13 d ago | JSON v1 |
| DMU Figshare | oai:figshare.com:article/32639607 | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].local:field:earth-environmental | mapping · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · dro deakin edu au | connector:dro_deakin_edu_au@1.0.0 | |
| description | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/description |
| license_text | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| publication_date | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | |
| title | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/title |