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

TL;DR

This paper presents EPIC, a proactive inference framework for 6G aerial coordination that maintains low latency and high reliability despite network jitter and silence, crucial for resilient low-altitude autonomous systems.

Contribution

Introduction of the EPIC framework with a Spatio-Temporal Semantic Inference operator that decouples coordination from network fluctuations, enhancing 6G HRLLC resilience.

Findings

93.5% reduction in reaction latency

Maintains 10 ms deterministic reaction time

Improves coverage efficiency during signaling silence

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).