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Wireless/wired integrated transmission for industrial cyber-physical systems: risk-sensitive co-design of 5G and TSN protocols

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Abstract

The growing popularity of intelligent manufacturing is driven by deterministic transmission demands of applications in industrial cyber-physical systems (ICPS). However, the ossified shortages of industrial wireless communication such as diverse quality of service (QoS) and complex signaling processes incur a severe long tail of transmission delay distribution. As a solution, the 5th generation (5G) wireless communication technology provides ultra-reliable and low-latency communication (URLLC) for industry scenarios. Moreover, the newly proposed time-sensitive networking (TSN) standards guarantee the transmission determinacy by gate mechanism. In this paper, we propose a heterogeneous time-sensitive network (HTSN) co-designed by 5G and TSN. We first develop a predictive multi-priority wireless scheduling mechanism based on semi-persistent scheduling (SPS) to reduce signaling delay by reserving resources in advance. Then we propose an adaptive data injection mechanism for TSN based on per-stream filtering and policing (PSFP), which dynamically adjusts the priority of data for queue injection in TSN. To further reduce the long tail of delay, we employ a risk-sensitive learning method to improve the worst-case delay. Simulations on a hot rolling production scenario demonstrate that the proposed mechanisms under HTSN achieve great performance in terms of integrated delay and resource utilization.

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Acknowledgements

This work was partially supported by National Key Research and Development Program of China (Grant No. 2018YFB1702100) and National Natural Science Foundation of China (Grant Nos. 62025305, 61933009, 62103272).

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Correspondence to Xinping Guan.

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Zhang, Y., Xu, Q., Guan, X. et al. Wireless/wired integrated transmission for industrial cyber-physical systems: risk-sensitive co-design of 5G and TSN protocols. Sci. China Inf. Sci. 65, 110204 (2022). https://doi.org/10.1007/s11432-020-3344-8

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  • DOI: https://doi.org/10.1007/s11432-020-3344-8

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