Age of Information Outage Probability Analysis for Computation Offloading in IIoT Networks

In this letter, the performance characterization of outage probability and age of information (AoI) for computation offloading in multi-access edge computing (MEC)-enabled industrial Internet-of-Things (IIoT) networks is investigated. Through newly obtained cumulative density functions of signal-to-interference-plus-noise ratios in the MEC-enabled IIoT network, closed-form AoI outage probability expressions are derived for MEC-based computation offloading (MEC-CO) and cloud-only computation offloading (CLD-CO) protocols assuming Rician fading, base station locations modeled as binomial point processes, and Gamma distributed delays in the wired backhaul. Suitable communication radius and task sizes to enable reliable computation offloading in both rural and urban IIoT scenarios are identified for both MEC-CO and CLD-CO through extensive analysis, where it is shown that MEC-CO attains superior AoI performance over CLD-CO.