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

doi:10.1109/ICCWorkshops50388.2021.9473635

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

Communications Theory

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

6 Citations (Scopus)

85 Downloads (Pure)

Abstract

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 language	English
Title of host publication	2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021 - Proceedings
Publisher	IEEE
Number of pages	6
ISBN (Electronic)	978-1-7281-9441-7
ISBN (Print)	978-1-7281-9442-4
DOIs	https://doi.org/10.1109/ICCWorkshops50388.2021.9473635
Publication status	Published - Jul 2021
MoE publication type	A4 Conference publication
Event	IEEE International Conference on Communications Workshops - Online, Montreal, Canada Duration: 14 Jun 2021 → 23 Jun 2021 https://icc2021.ieee-icc.org/

Publication series

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

Conference

Conference	IEEE International Conference on Communications Workshops
Abbreviated title	ICC Workshops
Country/Territory	Canada
City	Montreal
Period	14/06/2021 → 23/06/2021
Internet address	https://icc2021.ieee-icc.org/

Funding

This work was supported in part by Business Finland funding for the project 5G VIIMA.

Access to Document

10.1109/ICCWorkshops50388.2021.9473635

ELEC_Tirkkonen_etal_Optimized_Survival_Mode_to_Quarantee_QoS_ICC_Workshops_2021Accepted author manuscript, 537 KB

Cite this

Tirkkonen, O., Khosravirad, S. R., Baracca, P., Zhou, L., Parts, U., Korpi, D., & Uusitalo, M. A. (2021). Optimized Survival Mode to Guarantee QoS for Time-critical Services. In 2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021 - Proceedings Article 9473635 (IEEE international conference on communications workshops). IEEE. https://doi.org/10.1109/ICCWorkshops50388.2021.9473635

@inproceedings{242f2970cd614cfeb64c94ed9d22c5da,

title = "Optimized Survival Mode to Guarantee QoS for Time-critical Services",

abstract = "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.",

author = "Olav Tirkkonen and Khosravirad, \{Saeed R.\} and Paolo Baracca and Liang Zhou and Ulo Parts and Dani Korpi and Uusitalo, \{Mikko A.\}",

note = "Funding Information: This work was supported in part by Business Finland funding for the project 5G VIIMA. Publisher Copyright: {\textcopyright} 2021 IEEE.; IEEE International Conference on Communications Workshops, ICC Workshops ; Conference date: 14-06-2021 Through 23-06-2021",

year = "2021",

month = jul,

doi = "10.1109/ICCWorkshops50388.2021.9473635",

language = "English",

isbn = "978-1-7281-9442-4",

series = "IEEE international conference on communications workshops",

publisher = "IEEE",

booktitle = "2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021 - Proceedings",

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Tirkkonen, O, Khosravirad, SR, Baracca, P, Zhou, L, Parts, U, Korpi, D & Uusitalo, MA 2021, Optimized Survival Mode to Guarantee QoS for Time-critical Services. in 2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021 - Proceedings., 9473635, IEEE international conference on communications workshops, IEEE, IEEE International Conference on Communications Workshops, Montreal, Canada, 14/06/2021. https://doi.org/10.1109/ICCWorkshops50388.2021.9473635

Optimized Survival Mode to Guarantee QoS for Time-critical Services. / Tirkkonen, Olav; Khosravirad, Saeed R.; Baracca, Paolo et al.
2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021 - Proceedings. IEEE, 2021. 9473635 (IEEE international conference on communications workshops).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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T1 - Optimized Survival Mode to Guarantee QoS for Time-critical Services

AU - Tirkkonen, Olav

AU - Khosravirad, Saeed R.

AU - Baracca, Paolo

AU - Zhou, Liang

AU - Parts, Ulo

AU - Korpi, Dani

AU - Uusitalo, Mikko A.

PY - 2021/7

Y1 - 2021/7

N2 - 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.

AB - 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.

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Optimized Survival Mode to Guarantee QoS for Time-critical Services

Abstract

Publication series

Conference

Funding

Access to Document

Other files and links

Fingerprint

5G VIIMA-Hämmäinen

Cite this

Optimized Survival Mode to Guarantee QoS for Time-critical Services

Abstract

Publication series

Conference

Funding

Access to Document

Other files and links

Fingerprint

Projects

5G VIIMA-Hämmäinen

Cite this