ABSTRACT Single backhaul networks face significant limitations in simultaneously satisfying the user coverage and stringent service requirements of future Industrial Internet of Things (IIoT) systems envisioned for Industry 5.0. To address this challenge, this study proposes a joint optimization method for dual‐mode backhaul link selection and power allocation based on satellite‐terrestrial base station cooperation, tailored for resilient IIoT connectivity. The approach constructs a Space‐Terrestrial Integrated Network (STIN) backhaul architecture to ensure ubiquitous coverage and reliable communication for distributed industrial assets. It formulates an optimization problem with the objective of maximizing delay tolerance resilience for critical IIoT applications, such as real‐time monitoring and autonomous control. A decomposition optimization strategy is employed for solution—applying the Hungarian algorithm for the link allocation subproblem and the Lagrangian dual method for the power allocation subproblem. Simulation results demonstrate that compared to existing algorithms, the proposed method reduces average latency by 18% for uRLLC packets and 13% for eMBB packets, significantly enhancing system robustness while effectively reducing user service latency. This advancement supports the ultra‐reliable, low‐latency communication essential for human‐centric, intelligent, and sustainable operations in Industry 5.0 environments.
Song et al. (Thu,) studied this question.