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5G Radio Access Network Slicing in Massive MIMO Systems for Industrial Applications

Peng, Haorui LU orcid ; Fitzgerald, Emma LU orcid ; Tärneberg, William LU and Kihl, Maria LU (2020) The Seventh International Conference on Software Defined Systems (SDS-2020)
Abstract
A key enabler for Industry 4.0 is Fifth Generation Wireless Specifications (5G), within which network slicing is a promising technique to ensure customized quality of service for specific end-user groups in industrial scenarios. Massive Multiple Input Multiple Output (MIMO) plays a significant role in 5G but network slicing for massive MIMO has not yet been addressed. In this paper, we propose a network slicing scheme for a 5G Radio Access Network (RAN) with massive MIMO technology. Our simulations show that it is feasible to provide guaranteed performance in terms of high reliability, low latency, and a large number of connections by deploying our proposed scheme at the mMedium Access Control (MAC) layer of a massive MIMO base station.
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
keywords
Network Slicing, 5G, RAN, Massive MIMO, Industrial 4.0
host publication
2020 Seventh International Conference on Software Defined Systems (SDS)
pages
6 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
The Seventh International Conference on Software Defined Systems (SDS-2020)
conference location
Paris, France
conference dates
2020-06-30 - 2020-07-03
external identifiers
  • scopus:85095758151
ISBN
978-1-7281-7219-4
DOI
10.1109/SDS49854.2020.9143906
project
Cyber Security for Next Generation Factory (SEC4FACTORY)
WASP: Autonomous Cloud
Design, optimisation and control of cloud-integrated autonomous networked systems
language
English
LU publication?
yes
id
02e69060-3f9a-4060-90f9-900dea727711
date added to LUP
2020-05-19 15:47:05
date last changed
2023-04-10 13:59:30
@inproceedings{02e69060-3f9a-4060-90f9-900dea727711,
  abstract     = {{A key enabler for Industry 4.0 is Fifth Generation Wireless Specifications (5G), within which network slicing is a promising technique to ensure customized quality of service for specific end-user groups in industrial scenarios. Massive Multiple Input Multiple Output (MIMO) plays a significant role in 5G but network slicing for massive MIMO has not yet been addressed. In this paper, we propose a network slicing scheme for a 5G Radio Access Network (RAN) with massive MIMO technology. Our simulations show that it is feasible to provide guaranteed performance in terms of high reliability, low latency, and a large number of connections by deploying our proposed scheme at the mMedium Access Control (MAC) layer of a massive MIMO base station.}},
  author       = {{Peng, Haorui and Fitzgerald, Emma and Tärneberg, William and Kihl, Maria}},
  booktitle    = {{2020 Seventh International Conference on Software Defined Systems (SDS)}},
  isbn         = {{978-1-7281-7219-4}},
  keywords     = {{Network Slicing; 5G; RAN; Massive MIMO; Industrial 4.0}},
  language     = {{eng}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{5G Radio Access Network Slicing in Massive MIMO Systems for Industrial Applications}},
  url          = {{http://dx.doi.org/10.1109/SDS49854.2020.9143906}},
  doi          = {{10.1109/SDS49854.2020.9143906}},
  year         = {{2020}},
}