University of Oulu

C. Liu and M. Bennis, "Taming the Tail of Maximal Information Age in Wireless Industrial Networks," in IEEE Communications Letters, vol. 23, no. 12, pp. 2442-2446, Dec. 2019. doi: 10.1109/LCOMM.2019.2940965

Taming the tail of maximal information age in wireless industrial networks

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Author: Liu, Chen-Feng1; Bennis, Mehdi1
Organizations: 1Centre for Wireless Communications, University of Oulu, 90014 Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.9 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2019
Publish Date: 2019-12-11


In wireless industrial networks, the information of time-sensitive control systems needs to be transmitted in an ultra-reliable and low-latency manner. This letter studies the resource allocation problem in finite blocklength transmission, in which the information freshness is measured as the age of information (AoI) whose maximal AoI is characterized using extreme value theory (EVT). The considered system design is to minimize the sensors’ transmit power and transmission blocklength subject to constraints on the maximal AoI’s tail behavior. The studied problem is solved using Lyapunov stochastic optimization, and a dynamic reliability and age-aware policy for resource allocation and status updates is proposed. Simulation results validate the effectiveness of using EVT to characterize the maximal AoI. It is shown that sensors need to send larger-size data with longer transmission blocklength at lower transmit power. Moreover, the maximal AoI’s tail decays faster at the expense of higher average information age.

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Series: IEEE communications letters
ISSN: 1089-7798
ISSN-E: 2373-7891
ISSN-L: 1089-7798
Volume: 23
Issue: 12
Pages: 2442 - 2446
DOI: 10.1109/LCOMM.2019.2940965
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 project CARMA, in part by the Academy of Finland project MISSION, in part by the Academy of Finland project SMARTER, in part by the INFOTECH project NOOR, in part by the Nokia Bell-Labs project ELLIS, in part by the Nokia Bell-Labs project UEBE, and in part by the Nokia Foundation.
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