Yamin Shen , Ping Wang , Chiou-Jye Huang , Shenxu Kuang , Song Li , Zihan Li
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引用次数: 0
Abstract
Digital transformation brings diverse applications along with varying Quality of Service (QoS) and isolation requirements. Network slicing, a key 5G technology anticipated to persist in 6G, aims to meet these heterogeneous requirements. However, due to conflicting usage of scarce resources among services, especially with multi-timescale Service Level Agreement (SLA) requirements including QoS and isolation, implementing slicing in the Radio Access Network (RAN) domain is a significant challenge. Therefore, this paper formulates the radio resource allocation problem posed by the coexistence of multiple URLLC (Ultra-Reliable and Low-Latency Communications) with varying delay requirements and eMBB (Enhanced Mobile Broadband) as a multi-timescale optimization problem. Consequently, a novel MPC (Model Predictive Control)-based RAN slicing resource allocation model called MPC-RSS is proposed. Specifically, MPC-RSS ensures elastic QoS through delay-tracking mechanism and far-sighted schemes. Meanwhile, it maintains elastic isolation by introducing logical and physical isolation constraint terms. Compared with the existing state-of-the-art approaches, simulation results show that MPC-RSS can achieve better and more elastic SLA performance. Our proposal provides a choice for 6G RAN to empower vertical industries achieving digital upgrades.
数字转换带来了不同的应用程序以及不同的服务质量(QoS)和隔离要求。网络切片是5G的一项关键技术,预计将在6G中持续存在,旨在满足这些异构需求。然而,由于服务之间对稀缺资源的冲突使用,特别是在包括QoS和隔离在内的多时间尺度服务水平协议(SLA)要求下,在无线接入网(RAN)域中实现切片是一个重大挑战。因此,本文将多个具有不同延迟需求的URLLC (Ultra-Reliable and Low-Latency Communications)和eMBB (Enhanced Mobile Broadband)共存所带来的无线电资源分配问题表述为一个多时标优化问题。因此,提出了一种新的基于模型预测控制(MPC)的RAN切片资源分配模型MPC- rss。具体来说,MPC-RSS通过延迟跟踪机制和前瞻性方案来保证弹性QoS。同时,通过引入逻辑隔离约束项和物理隔离约束项来保持弹性隔离。仿真结果表明,MPC-RSS可以获得更好的弹性SLA性能。我们的提案为6G RAN提供了一种选择,使垂直行业能够实现数字升级。
期刊介绍:
The Journal of Network and Computer Applications welcomes research contributions, surveys, and notes in all areas relating to computer networks and applications thereof. Sample topics include new design techniques, interesting or novel applications, components or standards; computer networks with tools such as WWW; emerging standards for internet protocols; Wireless networks; Mobile Computing; emerging computing models such as cloud computing, grid computing; applications of networked systems for remote collaboration and telemedicine, etc. The journal is abstracted and indexed in Scopus, Engineering Index, Web of Science, Science Citation Index Expanded and INSPEC.