Analysis of Outage Latency and Throughput Performance in Industrial Factory 5G TDD Deployments

TL;DR

This paper proposes a QoS-aware TDD frame selection framework for industrial 5G deployments, demonstrating significant latency improvements and providing design insights for reliable factory automation networks.

Contribution

It introduces a service-aware TDD frame selection method with dynamic scheduling and power control, optimized for multi-traffic industrial 5G networks.

Findings

68% reduction in URLLC outage latency with QoS-aware scheme

Effective coexistence of multiple traffic types in industrial 5G networks

Guidelines for TDD frame selection and uplink power control in factory settings

Abstract

The fifth generation (5G) new radio supports a diversity of network deployments. The industrial factory (InF) wireless automation use cases are emerging and drawing an increasing attention of the 5G new radio standardization groups. Therefore, in this paper, we propose a service-aware time division duplexing (TDD) frame selection framework for multi-traffic deployments. We evaluate the performance of the InF network deployments with the state-of-the-art 3GPP modeling assumptions. In particular, we consider the dynamic TDD mode along with optimized uplink power control settings. Multi-traffic coexistence scenarios are also incorporated such that quality of service (QoS) aware dynamic user scheduling and TDD link selection are introduced. Extensive system level simulations are performed in order to evaluate the performance of the proposed solutions, where the proposed QoS-aware scheme shows 68% URLLC outage latency reduction compared to the QoS-unaware solutions. Finally, the paper offers insightful conclusions and design recommendations on the TDD radio frame selection, uplink power control settings and the best QoS-coexistence practices, in order to achieve a decent URLLC outage latency performance in the state-of-the-art InF deployments.