QoS-Aware Proportional Fairness scheduling for multi-flow 5G UEs: a smart factory perspective

Research output: Chapter in Book/Report/Conference proceedingsConference proceedingpeer-review

Abstract

Private 5G networks are emerging as key enablers for smart factories, where a single device often handles multiple concurrent traffic flows with distinct Quality of Service (QoS) requirements. Existing simulation frameworks, however, lack the fidelity to model such multi-flow behavior at the QoS Flow Identifier (QFI) level. This paper addresses this gap by extending Simu5G to support per-QFI modeling and by introducing a novel QoS-aware Proportional Fairness (QoS-PF) scheduler. The scheduler dynamically balances delay, Guaranteed Bit Rate (GBR), and priority metrics to optimize resource allocation across heterogeneous flows. We evaluate the proposed approach in a realistic smart factory scenario featuring edge-hosted machine vision, real-time control loops, and bulk data transfer. Results show that QoS-PF improves deadline adherence and fairness without compromising throughput. All extensions are implemented in a modular and open-source manner to support future research. Our work provides both a methodological and architectural foundation for simulating and analyzing advanced QoS policies in industrial 5G deployments.
Original languageEnglish
Title of host publication2025 International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM)
Pages20-27
Number of pages8
DOIs
Publication statusPublished - 30 Dec 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • 5g
  • Qfi
  • QoS
  • Simu5G
  • Industrial networks
  • Proportional fairness
  • Scheduling
  • [ComputerScience]

Fingerprint

Dive into the research topics of 'QoS-Aware Proportional Fairness scheduling for multi-flow 5G UEs: a smart factory perspective'. Together they form a unique fingerprint.

Cite this