Low-Latency Network Slicing for VLC-Based Industrial Internet of Things: Superframe Duration Minimization and Delay Violation Probability Analysis

Visible-light communication (VLC) is promising for the future application in Industrial Internet of Things (IIoT) due to limited interuser interference from directional transmission, which can provide a good guarantee for the delay and reliability of communication. In this work, we consider the model of a downlink indoor VLC network covered by multiple lighting-emitting diodes (LEDs). We reduce the delay violation probability via minimizing the superframe duration and analyze the delay violation probability based on the optimized superframe duration. We analyze the delay violation probability using stochastic network calculus (SNC). More specifically, we propose a low-complexity resource slicing scheme and exploit LED layout characteristics to minimize the superframe duration. Then, assuming that the users are uniformly distributed in each served area, we obtain the achievable rate distribution for each served area. Our results show that the proposed resource slicing scheme yields a shorter superframe duration than random scheme and the delay violation probability increases with traffic arrival rate, LED spacing, and the coverage radius.