Goal-Oriented Communication and Control Co-Design via Semantic Push-Pull in Industrial IoT

2026-09-18

AI Summary

为解决工业物联网中控制环路稳定性和无线资源约束问题，提出一种基于语义层的通信-控制协同设计框架，通过状态误差比和信噪比协调传感器推送与控制器拉取机制。

Abstract

Emerging 6G industrial IoT architectures require wireless networked control systems capable of stabilizing diverse control loops over tightly constrained radio resources. Conventional periodic and Age-of-Information (AoI) based scheduling guarantees bounded staleness at the cost of persistent channel saturation. Conversely, pure event-triggered (PureET) strategies minimize transmissions but risk catastrophic silent deterioration when local sensor-side thresholds fail to reflect critical state evolution. To bridge this gap, we propose a communication-control co-design framework governed by a 6G Semantic Layer that independently arbitrates uplink and downlink resources. Instead of relying on freshness, our architecture evaluates the actual control impact of a packet using the state-to-error ratio (SER). We unify this control confidence with channel reliability in terms of signal-to-noise ratio (SNR) to orchestrate a threshold-based sensor push and a state-aware controller pull mechanism. To ensure equitable resource allocation across dynamically heterogeneous plants, the proposed framework explicitly scales actuation deadbands according to local plant dynamics. Simulations over Rayleigh-faded channels demonstrate that this approach fundamentally shifts the Pareto frontier between transmission rate and control quality. The proposed scheme achieves tracking accuracy comparable to periodic schedulers at a reduced communication overhead, while mitigating the estimation errors characteristic of PureET.

Problem

• 6G Industrial IoT
• Control Loops
• Wireless Networked Control Systems
• Resource Constraints
• Event-Triggered Strategies

Innovation

• 6G Semantic Layer
• State-to-Error Ratio (SER)
• Signal-to-Noise Ratio (SNR)
• Communication-Control Co-Design