Optimized Survival Mode to Guarantee QoS for Time-critical Services

Olav Tirkkonen, Saeed R. Khosravirad, Paolo Baracca, Liang Zhou, Ulo Parts, Dani Korpi, Mikko A. Uusitalo

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

6 Citations (Scopus)
67 Downloads (Pure)


We consider time critical transmissions for wireless industrial IoT services, where information should not be older than a survival time in the millisecond order, and extreme service availability is targeted. With non-zero survival time, a feedback based survival mode is possible, where the network incorporates additional robustness if the previous transmission was not received. We consider the tradeoff between reliability of normal mode and survival mode transmission, and analyze the effect of feedback errors on these. We formulate an optimization to minimize average resource usage, guaranteeing time critical quality of service (QoS), and show numerical results in scenarios with typical system assumptions. For a user with a Rayleigh fading channel, average signal-to-noise ratio 10 dB, and control channel error probability 10-3, optimization based on judiciously choosing survival and normal mode reliability targets can reduce resource usage needed to guarantee QoS with a factor of 30.

Original languageEnglish
Title of host publication2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021 - Proceedings
Number of pages6
ISBN (Electronic)978-1-7281-9441-7
ISBN (Print)978-1-7281-9442-4
Publication statusPublished - Jul 2021
MoE publication typeA4 Conference publication
EventIEEE International Conference on Communications Workshops - Virtual, Montreal, Canada
Duration: 14 Jun 202123 Jun 2021

Publication series

NameIEEE international conference on communications workshops
ISSN (Electronic)2694-2941


ConferenceIEEE International Conference on Communications Workshops
Abbreviated titleICC Workshops
Internet address


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