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Massive MIMO Pilot Scheduling over Cloud RAN for Industry 4.0

Peng, Haorui LU orcid ; Tärneberg, William LU ; Fitzgerald, Emma LU orcid and Kihl, Maria LU (2020) 28 th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2020)
Abstract
Cloud-RAN (C-RAN) is a promising paradigm for the next generation radio access network infrastructure, which offers centralized and coordinated base-band signal processing in a BBU pool. This requires extremely low latency fronthaul links to achieve real-time signal processing. In this paper, we investigate massive MIMO pilot scheduling in a C-RAN infrastructure under a factory automation scenario. We use simulations to provide insights on the feasibility of C-RAN deployment for industrial communication, which has stringent criteria to meet Industry 4.0 standards. Our experiment results show that, concerning a pilot scheduling problem, the C-RAN system is capable of meeting the industrial criteria when there is fronthaul latency in the... (More)
Cloud-RAN (C-RAN) is a promising paradigm for the next generation radio access network infrastructure, which offers centralized and coordinated base-band signal processing in a BBU pool. This requires extremely low latency fronthaul links to achieve real-time signal processing. In this paper, we investigate massive MIMO pilot scheduling in a C-RAN infrastructure under a factory automation scenario. We use simulations to provide insights on the feasibility of C-RAN deployment for industrial communication, which has stringent criteria to meet Industry 4.0 standards. Our experiment results show that, concerning a pilot scheduling problem, the C-RAN system is capable of meeting the industrial criteria when there is fronthaul latency in the order of milliseconds. (Less)
Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
2020 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
28 th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2020)
conference location
Hvar, Croatia
conference dates
2020-09-17 - 2020-09-19
external identifiers
  • scopus:85096553279
ISBN
978-953-290-099-6
978-1-7281-7538-6
DOI
10.23919/SoftCOM50211.2020.9238195
project
Design, optimisation and control of cloud-integrated autonomous networked systems
E! Celtic-Plus 5G PERFECTA
Cyber Security for Next Generation Factory (SEC4FACTORY)
language
English
LU publication?
yes
id
380ece64-da10-4ae4-bafa-afdfe89af670
date added to LUP
2020-06-11 14:08:38
date last changed
2024-05-01 11:07:06
@inproceedings{380ece64-da10-4ae4-bafa-afdfe89af670,
  abstract     = {{Cloud-RAN (C-RAN) is a promising paradigm for the next generation radio access network infrastructure, which offers centralized and coordinated base-band signal processing in a BBU pool. This requires extremely low latency fronthaul links to achieve real-time signal processing. In this paper, we investigate massive MIMO pilot scheduling in a C-RAN infrastructure under a factory automation scenario. We use simulations to provide insights on the feasibility of C-RAN deployment for industrial communication, which has stringent criteria to meet Industry 4.0 standards. Our experiment results show that, concerning a pilot scheduling problem, the C-RAN system is capable of meeting the industrial criteria when there is fronthaul latency in the order of milliseconds.}},
  author       = {{Peng, Haorui and Tärneberg, William and Fitzgerald, Emma and Kihl, Maria}},
  booktitle    = {{2020 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)}},
  isbn         = {{978-953-290-099-6}},
  language     = {{eng}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{Massive MIMO Pilot Scheduling over Cloud RAN for Industry 4.0}},
  url          = {{https://lup.lub.lu.se/search/files/84440484/SoftCOM2020.pdf}},
  doi          = {{10.23919/SoftCOM50211.2020.9238195}},
  year         = {{2020}},
}