5G Radio Access Network Slicing in Massive MIMO Systems for Industrial Applications
(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:
https://lup.lub.lu.se/record/02e69060-3f9a-4060-90f9-900dea727711
- author
- Peng, Haorui LU ; Fitzgerald, Emma LU ; Tärneberg, William LU and Kihl, Maria LU
- organization
- publishing date
- 2020
- 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}}, }