Performance analysis of hybrid ARQ for ultra-reliable low latency communications

Battistella Nadas, J. P., Onireti, O. , Souza, R. D., Alves, H., Brante, G. and Imran, M. A. (2019) Performance analysis of hybrid ARQ for ultra-reliable low latency communications. IEEE Sensors Journal, 19(9), pp. 3521-3531. (doi: 10.1109/JSEN.2019.2891221)

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Considering an ultra-reliable low latency communication scenario, we assess the trade-off in terms of energy consumption between achieving time diversity through retransmissions and having to communicate at a higher rate due to latency constraints. Our analysis considers Nakagami-m blockfading channels with Chase combining hybrid automatic repeat request. We derive a fixed-point equation to determine the best number of allowed transmission attempts considering the maximum possible energy spent, which yields insights into the system behavior. Furthermore, we compare the energy consumption of the proposed approach against direct transmission with frequency diversity. Results show substantial energy savings using retransmissions when selecting the maximum number of transmission attempts according to our approach. For instance, considering a Rayleigh channel and smart grid teleprotection applications, our approach uses around 8 times less energy per bit compared to a direct transmission with frequency diversity.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Imran, Professor Muhammad and Battistella Nadas, Joao and Onireti, Oluwakayode
Authors: Battistella Nadas, J. P., Onireti, O., Souza, R. D., Alves, H., Brante, G., and Imran, M. A.
College/School:College of Science and Engineering > School of Engineering > Systems Power and Energy
Journal Name:IEEE Sensors Journal
ISSN (Online):1558-1748
Published Online:07 January 2019
Copyright Holders:Copyright © 2018 IEEE
First Published:First published in IEEE Sensors Journal 19(9):3521-3531
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
3007250Distributed Autonomous Resilient Emergency Management System (DARE)Muhammad ImranEngineering and Physical Sciences Research Council (EPSRC)EP/P028764/1ENG - Systems Power & Energy