考虑延迟的5G移动边缘计算准入控制

Ye Zhang, Wuyungerile Li, Winston K.G. Seah
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引用次数: 0

摘要

第五代(5G)移动网络是新一代宽带移动通信技术,有可能满足对低延迟和高带宽有严格要求的新用户业务和应用日益增长的需求。增强型移动宽带(eMBB)是前几代宽带服务的演变,除了它之外,超可靠的低延迟通信(URLLC)服务还具有严格的延迟要求,需要支持自动驾驶汽车、增强/虚拟现实等新应用。移动或多接入边缘计算(MEC)应运而生,为网络边缘的用户提供服务和计算资源,以提供更快的访问速度和更低的端到端延迟。为了更好地满足用户需求,最大化地利用网络资源,需要对网络资源进行高效的分配和管理。对用户请求进行准入控制是有效防止网络拥塞,从而提高系统整体性能的方法之一。在本文中,我们提出了一种基于red的带有延迟考虑的允许控制(REDAL)算法,用于用户的允许控制,旨在提高吞吐量,满足用户的延迟要求并降低数据包丢弃率。通过明确考虑用户流量的延迟约束和带宽需求,我们可以在满足eMBB流量带宽需求的同时满足URLLC流量严格的延迟约束。我们在MEC场景中验证了我们的方法,以展示高资源利用率,并将请求丢弃率保持在20%以下。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Admission Control with Latency Considerations for 5G Mobile Edge Computing
The fifth generation (5G) mobile network is a new generation of broadband mobile communication technology with the potential to address the increasing demands of new user services and applications that have stringent low latency and high bandwidth requirements. Besides the enhanced mobile broadband (eMBB) which is an evolution of broadband services from previous generations, the ultra reliable low latency communication (URLLC) service comes with stringent delay requirements that are needed to support new applications like autonomous vehicles, augmented/virtual reality, etc. Mobile or multiple access edge computing (MEC) emerged to provide services and computing resources for users at the network edge to provide faster access speeds and lower end-to-end delays. To better meet user needs and maximize resource utilization, network resources need to be allocated and managed efficiently. Admission control for user requests is one of the methods used that can effectively prevent network congestion, thereby improving the overall performance of the system. In this paper, we propose a RED-based Admission Control with Latency Considerations (REDAL) algorithm for user admission control that aims to increase throughput, meet users’ delay requirements and reduce packet discard rate. By explicitly accounting for user traffic delay constraints and bandwidth requirements, we are able to meet the strict delay constraints of URLLC traffic while meeting the bandwidth requirements of eMBB traffic. We validate our approach in an MEC scenario to demonstrate high resource utilization and also keeping the request discard rate below 20%.
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