Unmanned air vehicle operational framework for public safety communications

Date published

2024-09-29

Free to read from

2025-01-06

Supervisor/s

Journal Title

Journal ISSN

Volume Title

Publisher

IEEE

Department

Type

Conference paper

ISSN

2155-7195

Format

Citation

Subasu S, Al-Rubaye S, Warrier A, Whitworth H. (2024) Unmanned air vehicle operational framework for public safety communications. In: 2024 AIAA DATC/IEEE 43rd Digital Avionics Systems Conference (DASC), 29 September 2024 - 3 October 2024, San Diego, CA, USA

Abstract

The aviation and air mobility sector are experiencing a profound evolution, fuelled by swift technological progress and escalating requirements for effective, secure, and dependable airborne communication frameworks. The integration of Unmanned Aerial Systems (UAS), such as drones, into commercial and logistical activities is revolutionizing traditional concepts of air mobility. Integrating the Carrier Sense Multiple Access/Collision Avoidance (CSMA/CA) protocol into UAS communication networks enhances safety and reliability by preventing collisions. CSMA/CA allows UAS to sense the communication medium's availability before transmitting data, minimizing the risk of collisions and ensuring efficient data transmission, cru-cial for scenarios where safety is paramount. Sixth-Generation (6G) technology coupled with CSMA/CA protocol integration strengthens reliability and effectiveness in ensuring safe and efficient UAS operations. Simulation analysis using MATLAB helps understand signal quality and latency variations with distance from the UAV to the receiver, essential for safety communications analysis. Analyzing handover procedures is crucial for public safety, especially in scenarios where UAS encounter situations requiring a change from one base transceiver station (BTS) to another. Vertical handovers, particularly relevant in the context of evolving Unmanned Traffic Management (UTM) and Air Traffic Management (ATM) architectures, may become more prevalent due to the significant altitude variations inherent in UAS operations.

Description

Software Description

Software Language

Github

Keywords

4605 Data Management and Data Science, 46 Information and Computing Sciences, 40 Engineering, 11 Sustainable Cities and Communities

DOI

Rights

Attribution 4.0 International

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Relationships

Resources

Funder/s

Engineering and Physical Sciences Research Council
This research partially funded by the UKRI DSIT/EPSRC project CHEDDAR - Communications Hub for Empowering Distributed Cloud Computing Applications and Research under grants EP/X040518/1 and EP/Y037421/1.