Analysis of Strategies for Minimising End-to-End Latency in 5G Networks

Afonso Carvalho, L. M. Correia, A. Grilo, Ricardo Dinis
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Abstract

The main purpose of this paper is to identify and study a variety of strategies that effectively reduce the end-to-end latency in both 4G and 5G networks. This latency reduction will allow operators to provide URLLC services to users, such as: remote surgeries, Intelligent Transport Systems and factory automation services. To verify if those services can be implemented using 4G and 5G systems, the developed model considers several variables: the MEC node deployment option, the functionality splitting options, the radio techniques and the network architectures. The MEC technology appears in the paper as the solution that allows the end-to-end latency values to reach values below 1 ms, which are required for some of the URLLC services. The results obtained show that the 4G system does not have enough capacity to allow the existence of the upcoming services. Even with the MEC node deployment that minimises the latency, the LTE network is not able to provide the URLLC services under study. The simulations show that using the adequate latency reduction strategies and radio techniques, the 5G system has enough capacity and sufficiently low latencies to provide the upcoming services.
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5G网络端到端时延最小化策略分析
本文的主要目的是识别和研究有效降低4G和5G网络端到端延迟的各种策略。这种延迟的减少将使运营商能够为用户提供URLLC服务,例如:远程手术、智能交通系统和工厂自动化服务。为了验证这些服务是否可以使用4G和5G系统实现,开发的模型考虑了几个变量:MEC节点部署选项、功能拆分选项、无线电技术和网络架构。MEC技术在本文中作为一种解决方案出现,它允许端到端延迟值达到低于1毫秒的值,这是某些URLLC服务所需的。结果表明,4G系统没有足够的容量来允许即将到来的业务的存在。即使使用最小化延迟的MEC节点部署,LTE网络也无法提供研究中的URLLC服务。仿真结果表明,采用适当的延迟减少策略和无线电技术,5G系统具有足够的容量和足够低的延迟来提供即将到来的服务。
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