5G环境下物流信息实时传输的延迟优化策略

Delay optimization strategy of real-time logistics information transmission in 5G environment

摘要

5G通信技术以高带宽、低延迟和大连接为特征，为智慧物流信息系统提供了新型技术支撑。然而，物流场景中节点分布复杂、数据类型多样、终端异构性强，使得信息传输过程中仍存在链路拥塞、时延波动与能耗过高等问题。本文从5G网络架构特征出发，分析物流信息实时传输的延迟成因与影响因素，构建基于网络切片、边缘计算与自适应路由的综合优化模型。通过对比实验与场景仿真，结果表明该模型可在多节点高并发环境下有效降低平均时延约45%，提高传输可靠性与能耗利用率。研究提出从网络层资源调度、数据层智能分流与系统层协同控制三方面的延迟优化策略，为智慧物流的高效运行与信息传输体系的智能化升级提供技术路径与理论支持。

Abstract

5G communication technology, characterized by high bandwidth, low latency, and massive connectivity, provides new technical support for intelligent logistics information systems. However, the complex distribution of nodes, diverse data types, and strong heterogeneity of terminals in logistics scenarios still lead to issues such as link congestion, latency fluctuations, and excessive energy consumption during information transmission. Starting from the characteristics of 5G network architecture, this paper analyzes the causes and influencing factors of real-time logistics information transmission latency, and constructs an integrated optimization model based on network slicing, edge computing, and adaptive routing. Through comparative experiments and scenario simulations, the results show that this model can effectively reduce average latency by approximately 45% in multi-node high-concurrency environments, while improving transmission reliability and energy efficiency. The study proposes three latency optimization strategies from the perspectives of network-layer resource scheduling, data-layer intelligent traffic diversion, and system-layer collaborative control, providing technical pathways and theoretical support for the efficient operation of intelligent logistics and the intelligent upgrading of information transmission systems.

关键词

5G通信 / 物流信息系统 / 实时传输 / 边缘计算 / 延迟优化

Key words

5G communication / logistics information system / real-time transmission / edge computing / latency optimization

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