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

Haorui Peng; Emma Fitzgerald; William Tärneberg; Maria Kihl

doi:10.1109/SDS49854.2020.9143906

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

Haorui Peng, Emma Fitzgerald, William Tärneberg, Maria Kihl

Wallenberg AI, Autonomous Systems and Software Program (WASP)

Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review

Sammanfattning

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.

Originalspråk	engelska
Titel på värdpublikation	2020 Seventh International Conference on Software Defined Systems (SDS)
Förlag	IEEE - Institute of Electrical and Electronics Engineers Inc.
Antal sidor	6
ISBN (elektroniskt)	978-1-7281-7219-4
DOI	https://doi.org/10.1109/SDS49854.2020.9143906
Status	Published - 2020
Evenemang	The Seventh International Conference on Software Defined Systems (SDS-2020) - Paris, Frankrike Varaktighet: 2020 juni 30 → 2020 juli 3

Konferens

Konferens	The Seventh International Conference on Software Defined Systems (SDS-2020)
Land/Territorium	Frankrike
Ort	Paris
Period	2020/06/30 → 2020/07/03

Ämnesklassifikation (UKÄ)

Kommunikationssystem

Tillgång till dokument

10.1109/SDS49854.2020.9143906

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5G_Radio_Access_Network_Slicing_5GET

1 Licentiatavhandling

Integration of Clouds to Industrial Communication Networks
Peng, H., 2021 jan. 11, Lund: Lund University. 126 s.
Forskningsoutput: Avhandling › Licentiatavhandling

Fil

1 Avslutade
2 Aktiva

Sec4Factory: Cybersäkerhet för nästa gererations fabrik
Gehrmann, C., Kihl, M., Hell, M., Fitzgerald, E., Toorani, M., Fitzgerald, E., Tärneberg, W. & Akbarian, F.
Stiftelsen för Strategisk Forskning, SSF
2018/04/01 → 2023/03/31
Projekt: Forskning
Design, optimisation and control of cloud-integrated autonomous networked systems
Peng, H., Kihl, M., Fitzgerald, E. & Tärneberg, W.
2017/11/13 → 2023/07/01
Projekt: Avhandling
WASP: Autonomous Cloud
Årzén, K., Maggio, M., Eker, J., Berner, T., Skarin, P., Martins, A. & Millnert, V.
2016/01/01 → 2019/12/31
Projekt: Forskning

Citera det här

@inproceedings{02e690603f9a406090f9900dea727711,

title = "5G Radio Access Network Slicing in Massive MIMO Systems for Industrial Applications",

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.",

keywords = "Network Slicing, 5G, RAN, Massive MIMO, Industrial 4.0",

author = "Haorui Peng and Emma Fitzgerald and William T{\"a}rneberg and Maria Kihl",

year = "2020",

doi = "10.1109/SDS49854.2020.9143906",

language = "English",

booktitle = "2020 Seventh International Conference on Software Defined Systems (SDS)",

publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "The Seventh International Conference on Software Defined Systems (SDS-2020) ; Conference date: 30-06-2020 Through 03-07-2020",

}

Peng, H , Fitzgerald, E , Tärneberg, W & Kihl, M 2020, 5G Radio Access Network Slicing in Massive MIMO Systems for Industrial Applications. i 2020 Seventh International Conference on Software Defined Systems (SDS). IEEE - Institute of Electrical and Electronics Engineers Inc., The Seventh International Conference on Software Defined Systems (SDS-2020), Paris, Frankrike, 2020/06/30. https://doi.org/10.1109/SDS49854.2020.9143906

5G Radio Access Network Slicing in Massive MIMO Systems for Industrial Applications. / Peng, Haorui ; Fitzgerald, Emma ; Tärneberg, William et al.

2020 Seventh International Conference on Software Defined Systems (SDS). IEEE - Institute of Electrical and Electronics Engineers Inc., 2020.

Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review

TY - GEN

T1 - 5G Radio Access Network Slicing in Massive MIMO Systems for Industrial Applications

AU - Peng, Haorui

AU - Fitzgerald, Emma

AU - Tärneberg, William

AU - Kihl, Maria

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Network Slicing

KW - 5G

KW - RAN

KW - Massive MIMO

KW - Industrial 4.0

U2 - 10.1109/SDS49854.2020.9143906

DO - 10.1109/SDS49854.2020.9143906

M3 - Paper in conference proceeding

BT - 2020 Seventh International Conference on Software Defined Systems (SDS)

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

T2 - The Seventh International Conference on Software Defined Systems (SDS-2020)

Y2 - 30 June 2020 through 3 July 2020

ER -

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

Sammanfattning

Konferens

Ämnesklassifikation (UKÄ)

Tillgång till dokument

Andra filer och länkar

Fingeravtryck

Forskningsoutput

Integration of Clouds to Industrial Communication Networks

Projekt

Sec4Factory: Cybersäkerhet för nästa gererations fabrik

Design, optimisation and control of cloud-integrated autonomous networked systems

WASP: Autonomous Cloud

Citera det här