Research on Low-Latency Scheduling Optimization Method for 5G Private Networks in Industrial Scenarios in China

Huiqing Zhang

doi:10.47297/taposatWSP2633-456931.20260705

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Research on Low-Latency Scheduling Optimization Method for 5G Private Networks in Industrial Scenarios in China

7卷第5期

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Research on Low-Latency Scheduling Optimization Method for 5G Private Networks in Industrial Scenarios in China
Research on Low-Latency Scheduling Optimization Method for 5G Private Networks in Industrial Scenarios in China
College of Information Engineering, Shanghai Maritime University, Shanghai, 201306, China
2026年7卷第5期页码：159-164
网络首发：2026-07-15，

纸质出版：2026-05-30
DOI：10.47297/taposatWSP2633-456931.20260705
Accepted：

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Huiqing Zhang. (2026). Research on Low-Latency Scheduling Optimization Method for 5G Private Networks in Industrial Scenarios in China. 科技理论与实践（英文版）, 7(5), 159-164.

Zhang Huiqing.Research on Low-Latency Scheduling Optimization Method for 5G Private Networks in Industrial Scenarios in China[J].Theory and Practice of Science and Technology,2026,07(05):159-164.
Huiqing Zhang. (2026). Research on Low-Latency Scheduling Optimization Method for 5G Private Networks in Industrial Scenarios in China. 科技理论与实践（英文版）, 7(5), 159-164. DOI： 10.47297/taposatWSP2633-456931.20260705.

Zhang Huiqing.Research on Low-Latency Scheduling Optimization Method for 5G Private Networks in Industrial Scenarios in China[J].Theory and Practice of Science and Technology,2026,07(05):159-164. DOI： 10.47297/taposatWSP2633-456931.20260705.

摘要

Abstract

China has deployed more than 3.84 million 5G base stations and over 3

000 industrial 5G private network projects by 2024 Q1

making it the world's largest 5G infrastructure market. Smart factories

such as SAIC

FAW

HBIS

Baosteel

BOE

CATL and CAINIAO

JD Logistics

are equipped with campus networks running on dedicated 4.9 GHz (n79) bands under the MIIT frequency assignment policy. The simultaneous presence of industrial field device control

machine vision inspection

AGV navigation and condition monitoring on shared 5G resources creates a critical scheduling challenge that leads to latency violations of mission critical services in high network loads. This paper presents a low-latency scheduling optimization framework

named MLPQ-TS (Multi-Level Preemptive Queuing with Traffic Shaping)

specially designed for the 5G private industrial network scenario in China. The four-tier strict-priority queue hierarchy

deadline-aware preemption control

and per-class token-bucket shaping are combined in MLPQ-TS. NS-3 simulations show that with China factory traffic profiles 66.1% of latency at 90% load is reduced (12.4 → 4.2 ms) compared to 3GPP standard schedulers by 28.2 percentage points. The framework is verified with ten typical China smart-factory reference deployments.

关键词

Keywords

references

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