Age of Information in a SWIPT and URLLC enabled Wireless Communications System
Basnayaka, C. M. W., Jayakody, D. N. K., Perera, T. D. P., Hämäläinen, T. T., & Marques da Silva, M. (2022). Age of Information in a SWIPT and URLLC enabled Wireless Communications System. In 2022 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) (pp. 302-307). IEEE. International Symposium on Advanced Networks and Telecommunication Systems. https://doi.org/10.1109/ants56424.2022.10227762
Authors
Date
2022Discipline
TekniikkaTietotekniikkaSecure Communications Engineering and Signal ProcessingEngineeringMathematical Information TechnologySecure Communications Engineering and Signal ProcessingCopyright
© 2022, IEEE
This paper estimates the freshness of the information in a wireless relay communication system that employs simultaneous wireless information and power transfer (SWIPT) operating under ultra-reliable low-latency communication (URLLC) constraints. The Age of Information (AoI) metric calculates the time difference between the current time and the timestamp of the most recent update received by the receiver is used here to estimate the freshness of information. The short packet communication scheme is used to fulfil the reliability and latency requirements of the proposed wireless network and its performance is analysed using finite block length theory. In addition, by utilising novel approximation approaches, expressions for the average AoI (AAoI) of the proposed system are derived. Finally, numerical analysis is used to evaluate and validate derived results.
Publisher
IEEEParent publication ISBN
978-1-6654-7341-5Conference
IEEE International Conference on Advanced Networks and Telecommunications SystemsIs part of publication
2022 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)ISSN Search the Publication Forum
2153-1676Keywords
Publication in research information system
https://converis.jyu.fi/converis/portal/detail/Publication/176908702
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Additional information about funding
This work is funded by the CEU-Cooperativa de Ensino Universitario, Portugal and the FCT - Fundação para a Ciência e Tecnologia under 2022.03897.PTDC.License
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