Age of Information Based URLLC-enabled UAV Wireless Communications System
Abstract
This paper considers an unmanned aerial vehicles (UAV) communication network, where UAV operate as an aerial mobile relay between a source and a destination of the network. To capture the “timelines” of the received information at the destination node, a new performance metric named age of information (AoI) is considered. In addition, a short packet communication scheme maintains low latency in the proposed UAV wireless communication system. The finite block-length theory investigates the performances of short packet communications scheme in the UAV-assisted wireless communications system. In this paper, the Average Age of Information (AAoI) is estimated by applying the Stochastic Hybrid Systems (SHS) model. The SHS model comprises discrete states represents events that reset the AoI process and continuously dynamics that represent linearly growing age processes. Finally, a closed-form expression for the AAoI of the proposed UAV wireless communication system is derived and it can be used to estimate the optimal altitude, block length and other parameters.
Main Authors
Format
Articles
Research article
Published
2022
Series
Subjects
Publication in research information system
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-202112025873Use this for linking
Review status
Peer reviewed
ISSN
2372-2541
DOI
https://doi.org/10.1109/JIOT.2021.3123431
Language
English
Published in
IEEE Internet of Things Journal
Citation
- Basnayaka, C. M. W., Jayakody, D. N., & Chang, Z. (2022). Age of Information Based URLLC-enabled UAV Wireless Communications System. IEEE Internet of Things Journal, 9(12), 10212-10223. https://doi.org/10.1109/JIOT.2021.3123431
Funder(s)
Research Council of Finland
Funding program(s)
Researcher mobility Funding, AoF
Tutkijaliikkuvuusrahoitus, SA

Additional information about funding
This work was supported in part by the Academy of Finland under Grant 343390, and in part by the Framework of Competitiveness Enhancement Program of the National Research Tomsk Polytechnic University, Russia.
Copyright© IEEE, 2021