Spatio-Temporal Semantic Inference for Resilient 6G HRLLC in the Low-Altitude Economy

2026-03-25

AI Summary

This work addresses the critical challenge posed by network jitter and signal outages in complex urban canyon environments to the coordinated reliability of 6G ultra-reliable low-latency communication (URLLC) in the low-altitude economy. To this end, we propose the EPIC framework, which introduces— for the first time—an active inference mechanism that leverages a spatiotemporal semantic inference (STSI) operator to project stale observations onto an active belief manifold, thereby decoupling coordinated control from physical signaling fluctuations. By integrating deterministic execution heartbeats with weighted coverage efficiency (WCE) optimization, EPIC maintains stability under severe conditions, including 100 ms network jitter and up to 50 seconds of signal silence. The approach achieves a 93.5% average reduction in end-to-end reaction latency, masks 150 ms transmission delays with 10 ms heartbeats, and improves WCE by 10.5%, thereby delivering strategic immunity and deterministic resilience against extreme communication disruptions.

Technology Category

• Planning, Routing, and Scheduling: Scheduling under Uncertainty
• Reasoning under Uncertainty: Stochastic Optimization
• Multiagent Systems: Agent Communication

Application Category

• Economics, Online Markets and Human Computation: Incentives in network design for Web infrastructures and ecosystems
• Systems and Infrastructure for Web, Mobile and WoT: Energy management for devices in mobile Web and WoT environments
• Responsible Web: Machine-in-the-loop, human agency and autonomy

Abstract

The rapid expansion of the Low-Altitude Economy (LAE) necessitates highly reliable coordination among autonomous aerial agents (AAAs). Traditional reactive communication paradigms in 6G networks are increasingly susceptible to stochastic network jitter and intermittent signaling silence, especially within complex urban canyon environments. To address this connectivity gap, this paper introduces the Embodied Proactive Inference for Coordination (EPIC) framework, featuring a Spatio-Temporal Semantic Inference (STSI) operator designed to decouple the coordination loop from physical signaling fluctuations. By projecting stale peer observations into a proactive belief manifold, EPIC maintains a deterministic reaction latency regardless of the network state. Extensive simulations demonstrate that EPIC achieves an average 93.5% reduction in end-to-end reaction latency, masking physical transmission delays of 150 ms with a deterministic 10 ms execution heartbeat. Crucially, EPIC exhibits strategic immunity to escalating network jitter up to 100 ms and improves the Weighted Coverage Efficiency (WCE) by 10.5% during extreme signaling silence lasting up to 50 s. These results provide the deterministic resilience essential for 6G Hyper-Reliable and Low-Latency Communication (HRLLC).

Problem

• Low-Altitude Economy
• 6G HRLLC
• network jitter
• signaling silence
• autonomous aerial agents

Innovation

• Spatio-Temporal Semantic Inference
• Proactive Coordination
• Deterministic Latency
• 6G HRLLC
• Low-Altitude Economy