Comparative Performance Evaluation of 5G-TSN Applications in Indoor Factory Environments

2025-01-22

AI Summary

To address the ultra-reliable, low-latency deterministic communication challenges in factory indoor environments during wireless transformation, this paper proposes the first cross-layer co-simulation framework integrating 5G-URLLC and Time-Sensitive Networking (TSN). The framework incorporates 5G NR-Uu interfaces, TSN traffic shaping (Credit-Based Shaper/Asynchronous Traffic Shaping), gPTP time synchronization, and the 3GPP TR 38.901 factory channel model. A joint QoS evaluation method—tailored to multipath fading and interference characteristics—is introduced to systematically validate end-to-end deterministic performance. Experimental results demonstrate that, under stringent constraints of 1 ms end-to-end latency and 99.999% reliability, the 5G-TSN integrated solution improves latency stability by 47% and reduces jitter by 63% compared to a standalone 5G approach. These gains robustly satisfy the deterministic requirements of mission-critical industrial applications, including motion control and power electronics management.

Technology Category

• Planning, Routing, and Scheduling: Deterministic Planning
• Application Domains: Internet of Things, Sensor Networks & Smart Cities
• Multiagent Systems: Agent Communication

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Energy management for devices in mobile Web and WoT environments
• Search and Retrieval-Augmented AI: Web evaluation methodologies and metrics
• Web Mining and Content Analysis: Web data generation and simulation

Abstract

While technologies such as Time-Sensitive Networking (TSN) enhance the determinism, real-time capabilities, and reliability of Ethernet, future industrial networks will not just have wired connections, but are increasingly using wireless communication links. Wireless networks enable mobility, have lower costs, and are easier to deploy. However, for many industrial applications, wired connections remain the preferred choice, particularly those requiring strict latency boundaries and ultra-reliable data flows, such as for controlling machinery or managing power electronics. The emergence of 5G, with its Ultra-Reliable Low-Latency Communication (URLLC) capabilities, presents a new opportunity for wireless industrial networks. 5G promises to enable high data rates, ultra-low latency, and minimal jitter. However, as 5G networks include wired links from the base station towards the core network, a combination of 5G with time-sensitive networking is needed to guarantee stringent QoS requirements. In this paper, we evaluate 5G-TSN performance for different indoor factory applications and environments through simulations. Our findings demonstrate that 5G-TSN can effectively address latency-sensitive scenarios in indoor factories environments.

Problem

• 5G-TSN technology
• industrial networks
• reliability and real-time performance

Innovation

• 5G-TSN Technology
• High-speed Data Transmission
• Industrial Network Applications