TACAN: the Shaping of Delay Distribution under Multi-path Fading Channel for Industrial IoT Systems

Fangfang Liu, Xuewu Dai, Mengran Jin, Wuxiong Zhang, Yang Yang, Fei Qin

Research output: Contribution to journalArticlepeer-review


The wireless-enabled Industrial Internet of Things (IIoT) system is promising due to its flexibility and cable-free deployment. The varying fading channel will lead to the random transmission delays and jitters, which are the major challenges hindering the adoption of wireless communication in mission-critical industrial systems. The performance or even the stability of closed-loop feedback control system will degrade severely with such delays and jitters. As a result, the maximum delay margin should be met to guarantee the performance of the IIoT system. Aiming to better satisfy this requirement, a novel concept to shape the delay distribution under industrial multi-path fading channel is proposed in this paper. Consequently, a Two lAyer Closed feed-bAck coNtrol algorithm, referred as TACAN in this paper, is designed through the decoupling of original optimization function, by which the variance of the delay distribution is minimized to improve the reliability and stability of the IIoT systems. The performance of proposed delay shape control method is verified by both the classical Rician channel model and the field measured industrial fading channel responses.

Original languageEnglish
Number of pages12
JournalIEEE Internet of Things Journal
Early online date23 Feb 2022
Publication statusE-pub ahead of print - 23 Feb 2022


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