Performance model for factory automation in 5G networks

Author:

Wang JiaoORCID,Weitzen Jay,Bayat Oguz,Sevindik Volkan,Li Mingzhe

Abstract

AbstractThe fifth generation (5G) of mobile networks is emerging as a key enabler of modern factory automation (FA) applications that ensure timely and reliable data exchange between network components. Network slicing (NS), which shares an underlying infrastructure with different applications and ensures application isolation, is the key 5G technology to support the diverse quality of service requirements of modern FA applications. In this article, an end-to-end (E2E) NS solution is proposed for FA applications in a 5G network. Regression approaches are used to construct a performance model for each slice to map the service level agreement to the network attributes. Interference coordination approaches for switched beam systems are proposed to optimize radio access network (RAN) performance models. A case study of a non-public network is used to show the proposed NS solution. Simulation result shows that for services with different QoS requirements, different IC approaches should be used as optimization methods. Design prediction using regression approach has been evaluated and shows that the prediction successful rate increases when more existing data are used.

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference29 articles.

1. 3GPP TR 22.804 V16.2.0, Study on communication for automation in vertical domains (release 16) December 2018

2. Brown G. Ultra-reliable low-latency 5G for industrial automation, Qualcomm, San Diego, CA, USA, Tech. Rep. [Online]. Available: https://www.qualcomm.com/content/dam/qcomm-martech/dm-assets/documents/ultra-reliable-low-latency-5g-for-industrial-automation.pdf

3. Chen H, Li Y, Bose SK, Shao W, Xiang L, Ma Y, Shen G (2016) Cost-minimized design for TWDM-PON based 5G mobile backhaul networks. IEEE/OSA J Opt Commun Netw 8(11):B1–B11

4. Chitimalla D, Kondepu K, Valcarenghi L, Tornatore M, Mukherjee B (2017) 5G fronthaul-latency and jitter studies of CPRI over Ethernet. IEEE/OSA J Opt Commun Netw 9(2):172–182

5. Deb S, Monogioudis P, Miernik J, Seymour JP (2014) Algorithms for enhanced inter-cell interference coordination (eICIC) in LTE HetNets. IEEE/ACM Trans Netw 22(1):137–150

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3