University of Oulu

O. L. A. López, H. Alves, R. D. Souza and M. Latva-Aho, "Finite Blocklength Error Probability Distribution for Designing Ultra Reliable Low Latency Systems," in IEEE Access, vol. 8, pp. 107353-107363, 2020, doi: 10.1109/ACCESS.2020.3001135

Finite blocklength error probability distribution for designing ultra reliable low latency systems

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Author: Alcaraz López, Onel L1; Alves, Hirley1; Souza, Richard Demo2;
Organizations: 1Centre for Wireless Communications, University of Oulu, 90014 Oulu, Finland
2Department of Electrical and Electronics Engineering, Federal University of Santa Catarina, Florianópolis 88040-900, Brazil
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 6.1 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2020
Publish Date: 2020-07-01


Future wireless systems are envisioned to support completely new use cases with extremely stringent requirements on both latency and reliability, e.g., Ultra-Reliable Low-Latency Communication. However, guaranteeing truly reliable services is quite challenging, much more under strict latency constraints. Notice that when it comes to reliability, the traditional approaches relying on average performance figures do not provide sufficient reliability guarantees. Instead, analyses/designs based on risk measures are more useful since they offer a more fine-grained probabilistic information of the system reliability. In this paper, we depart from novel information theory results on finite-blocklength (FB) coding, which characterize the error-latency trade-off under strict delay constraints, to highlight that the FB error probability is in fact a random variable in fading scenarios. Then, we provide accurate analytical approximations for the FB error probability distribution. This allows us to evaluate some well-known risk measures and, based on them, quantify the system reliability under strict latency constraints from different standpoints. We validate our results via simulation and provide numerical examples that illustrate, for instance, that two systems performing similar in terms of average reliability, may offer services with different risk perceptions.

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Series: IEEE access
ISSN: 2169-3536
ISSN-E: 2169-3536
ISSN-L: 2169-3536
Volume: 8
Pages: 107353 - 107363
DOI: 10.1109/ACCESS.2020.3001135
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This work was supported in part by the Academy of Finland 6Genesis Flagship under Grant 318927, Grant 307492, and Grant 319008, in part by the Finnish Foundation for Technology Promotion, through PrInt Coordination for the Improvement of Higher Education Personnel (CAPES), Federal University of Santa Catarina (UFSC) Automation 4.0, and in part by the Brazilian National Council for Scientific and Technological Development (CNPq), Brazil.
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
307492 (Academy of Finland Funding decision)
319008 (Academy of Finland Funding decision)
Copyright information: © The Authors 2020. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see