Dimensioning and Optimization of Reliability Coverage in Local 6G Networks

2025-05-14

AI Summary

Emerging 6G vertical applications—such as intelligent manufacturing, immersive XR, and autonomous driving—impose stringent requirements on ultra-reliable low-latency communication (URLLC). To address the lack of a holistic metric quantifying spatial service quality under deterministic reliability (e.g., 99.999%) and latency (e.g., 1 ms) constraints, this paper introduces “reliability coverage,” defined as the fraction of the service area satisfying both targets simultaneously. Method: We propose the first unified modeling framework that jointly couples spatial coverage with multi-timescale performance constraints—spanning millisecond-level scheduling and minute-level network planning—by integrating stochastic geometry, spatiotemporal optimization, and deterministic resource orchestration. Contribution/Results: Experimental evaluation establishes a quantitative mapping between reliability/latency specifications and wireless resource consumption, significantly enhancing design consistency and practical deployability in representative industrial scenarios.

Technology Category

• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Knowledge Representation and Reasoning: Geometric, Spatial, and Temporal Reasoning
• Application Domains: Mobility, Driving & Flight

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Location- and context-aware Web and WoT applications and services
• Search and Retrieval-Augmented AI: Web evaluation methodologies and metrics
• Graph Algorithms and Modeling for the Web: Algorithms and analysis for heterogeneous, signed, attributed, multi-relational, temporal, higher-order, and annotated Web-related graphs

Abstract

Enabling vertical use cases for the sixth generation (6G) wireless networks, such as automated manufacturing, immersive extended reality (XR), and self-driving fleets, will require network designs that meet reliability and latency targets in well-defined service areas. In order to establish a quantifiable design objective, we introduce the novel concept of reliability coverage, defined as the percentage area covered by communication services operating under well-defined reliability and performance targets. Reliability coverage allows us to unify the different network design tasks occurring at different time scales, namely resource orchestration and allocation, resulting in a single framework for dimensioning and optimization in local 6G networks. The two time scales, when considered together, yield remarkably consistent results and allow us to observe how stringent reliability/latency requirements translate into the increased wireless network resource demands.

Problem

• Designing 6G networks for reliability and latency targets
• Introducing reliability coverage as a quantifiable design metric
• Unifying resource orchestration and allocation for network optimization

Innovation

• Introduces reliability coverage for 6G network design
• Unifies resource orchestration and allocation tasks
• Optimizes dimensioning for stringent reliability/latency targets