Logo
ScienceStack
Table of Contents
Fetching ...
Sign In

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

Chuan-Chi Lai, Ang-Hsun Tsai, Zhu Han

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).

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

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).

Paper Structure

This paper contains 20 sections, 11 equations, 3 figures, 1 table.

Table of Contents

  1. Introduction
  2. System Model and Problem Formulation
  3. Low-Altitude Aerial Network Model
  4. Air-to-Ground Channel and SINR Model
  5. Stochastic 6G Jitter and Signaling Silence
  6. Spatiotemporal Semantic Inference Operator ($\mathcal{F}_{\mathrm{STSI}}$)
  7. Problem Formulation
  8. Proposed Framework and Operator Design
  9. System Architecture: The EPIC Framework
  10. Design of the Spatio-Temporal Semantic Inference Operator
  11. Proactive Belief Projection
  12. Semantic Projection with Kinematic Guardrails
  13. The EPIC Execution Framework
  14. Dual-Loop Synchronization Logic
  15. Algorithmic Efficiency and Scalability
  16. ...and 5 more sections

Figures (3)

  • Figure 1: The 6G-enabled LAE scenario. AAAs coordinate to provide weighted coverage over ground targets within a 3D urban canyon. The stochastic signaling plane, characterized by a base latency $\tau_{\mathrm{base}} = 150$ ms and intermittent silence periods $T_{\mathrm{up}}$, creates a significant connectivity gap for real-time coordination.
  • Figure 2: Weighted Coverage Efficiency (WCE) vs. signaling silence period $T_{\mathrm{up}}$. The performance margin highlights the coordination resilience achieved through EPIC despite extreme peer information aging (up to 50 s).
  • Figure 3: Resilience analysis of reaction latency $\tau_{R}$ under escalating network jitter $\sigma$. The horizontal profile of EPIC illustrates its absolute immunity to network-layer stochasticity compared to the linear degradation of the baseline.

Theorems & Definitions (1)

  • Remark 1: The Principle of Latency Hiding