5G网络中工业混合流量的软资源切片

IF 18.3 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS Ieee-Caa Journal of Automatica Sinica Pub Date : 2025-01-20 DOI:10.1109/JAS.2024.124761
Jingfang Ding;Meng Zheng;Haibin Yu
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引用次数: 0

摘要

本文提出了5G网络中工业混合流量的动态交换软切片策略。针对周期性延迟敏感(PDS)和偶发延迟容忍(SDT)两种类型的流量,设计了一种基于流量qos感知软切片(TQASS)和资源效率感知软切片(REASS)的动态交换策略。该策略在保证延迟约束下PDS业务的可靠性的同时,将剩余资源动态分配给SDT业务。仿真结果表明,所提出的软切片策略在满足工业混合流量严格的QoS要求方面优于现有的工作。
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Soft Resource Slicing for Industrial Mixed Traffic in 5G Networks
This letter proposes a dynamic switching soft slicing strategy for industrial mixed traffic in 5G networks. Considering two types of traffic, periodic delay-sensitive (PDS) traffic and sporadic delay-tolerant (SDT) traffic, we design a dynamic switching strategy based on a traffic-QoS-aware soft slicing (TQASS) scheme and a resource-efficiency-aware soft slicing (REASS) scheme. The proposed strategy ensures the reliability of PDS traffic under delay constraints, while dynamically allocating remaining resources to SDT traffic. Simulation results show that the proposed soft slicing strategy out-performs existing works in meeting the strict QoS requirements of industrial mixed traffic.
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来源期刊
Ieee-Caa Journal of Automatica Sinica
Ieee-Caa Journal of Automatica Sinica Engineering-Control and Systems Engineering
CiteScore
23.50
自引率
11.00%
发文量
880
期刊介绍: The IEEE/CAA Journal of Automatica Sinica is a reputable journal that publishes high-quality papers in English on original theoretical/experimental research and development in the field of automation. The journal covers a wide range of topics including automatic control, artificial intelligence and intelligent control, systems theory and engineering, pattern recognition and intelligent systems, automation engineering and applications, information processing and information systems, network-based automation, robotics, sensing and measurement, and navigation, guidance, and control. Additionally, the journal is abstracted/indexed in several prominent databases including SCIE (Science Citation Index Expanded), EI (Engineering Index), Inspec, Scopus, SCImago, DBLP, CNKI (China National Knowledge Infrastructure), CSCD (Chinese Science Citation Database), and IEEE Xplore.
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