B5G/6G URLLC Latency Reduction Method for Multisensor Industrial Internet of Things

Wei Chen, Dake Liu, Yong Bai · IEEE Internet of Things Journal · 2023

How to enable B5G/6G ultra reliable low-latency communications (URLLC) to meet the requirements of low latency, ultrahigh-speed and real-time industrial automatic control for multisensor Industrial Internet of Things (IIoT), it is one of the most important challenges of multisensor IIoT. The round-trip time (RTT) is significantly reduced by semi-persistent scheduling (SPS) or short transmission time interval (TTI) method, yet these methods may cost extra frequency and time resources. To reduce latency without the cost of extra spectrum and time resources, such research is almost blank in both academia and industry for B5G/6G URLLC scenario of multisensor IIoT. We hence propose the latency reduction method for the B5G/6G URLLC scenario of multisensor IIoT. Our research fills this research gap. The proposed reduction method includes a storage planning method for global data and local data, a dynamic data configuration method and an execution time minimization method. Based on these methods, we can obtain the minimum data space of the program and the data storage arrangement approaching to the minimum worst-case execution time (WCET). Under the main frame of SPS and short TTI method, our proposed method can further reduce latency without reducing spectrum and time resources utilization by minimizing data storage and access delay. The experimental results show that our method did not reduce spectrum and time resources utilization, and when our method was applied in SPS and short TTI method, our method further reduced the physical layer computing latency by about 21% to 28%.

Read the paper · More papers on PaperTik