Transient Performance Modelling of 5G Slicing with Mixed Numerologies for Smart Grid Traffic

H. V.Kalpanie Mendis; Poul E. Heegaard; Vicente Casares-Giner; Frank Y. Li; Katina Kralevska

doi:10.1109/CAMAD52502.2021.9617808

Transient Performance Modelling of 5G Slicing with Mixed Numerologies for Smart Grid Traffic

H. V.Kalpanie Mendis, Poul E. Heegaard, Vicente Casares-Giner, Frank Y. Li, Katina Kralevska

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

2 Zitate (Scopus)

Abstract

Network slicing enabled by fifth generation (5G) systems has the potential to satisfy diversified service requirements from different vertical industries. As a typical vertical industry, smart distribution grid poses new challenges to communication networks. This paper investigates the behavior of network slicing for smart grid applications in 5G radio access networks with heterogeneous traffic. To facilitate network slicing in such a network, we employ different 5G radio access numerologies for two traffic classes which have distinct radio resource and quality of service requirements. Three multi-dimensional Markov models are developed to assess the transient performance of network slicing for resource allocation with and without traffic priority. Through analysis and simulations, we investigate the effects of smart grid protection and control traffic on other types of parallel traffic sessions as well as on radio resource utilization.

Originalsprache	Englisch
Titel	2021 IEEE 26th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2021 - Proceedings
Herausgeber (Verlag)	Institute of Electrical and Electronics Engineers Inc.
ISBN (elektronisch)	9781665417792
DOIs	https://doi.org/10.1109/CAMAD52502.2021.9617808
Publikationsstatus	Veröffentlicht - 2021
Extern publiziert	Ja
Veranstaltung	26th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2021 - Porto, Portugal Dauer: 25 Okt. 2021 → 27 Okt. 2021

Publikationsreihe

Name	IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD
Band	2021-October
ISSN (elektronisch)	2378-4873

Konferenz

Konferenz	26th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2021
Land/Gebiet	Portugal
Ort	Porto
Zeitraum	25/10/21 → 27/10/21

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Mendis, H. V. K., Heegaard, P. E., Casares-Giner, V., Li, F. Y., & Kralevska, K. (2021). Transient Performance Modelling of 5G Slicing with Mixed Numerologies for Smart Grid Traffic. in 2021 IEEE 26th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2021 - Proceedings (IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD; Band 2021-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CAMAD52502.2021.9617808

Mendis, H. V.Kalpanie ; Heegaard, Poul E. ; Casares-Giner, Vicente et al. / Transient Performance Modelling of 5G Slicing with Mixed Numerologies for Smart Grid Traffic. 2021 IEEE 26th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. (IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD).

@inproceedings{11ef55026c92401e8558ab48f8db7896,

title = "Transient Performance Modelling of 5G Slicing with Mixed Numerologies for Smart Grid Traffic",

abstract = "Network slicing enabled by fifth generation (5G) systems has the potential to satisfy diversified service requirements from different vertical industries. As a typical vertical industry, smart distribution grid poses new challenges to communication networks. This paper investigates the behavior of network slicing for smart grid applications in 5G radio access networks with heterogeneous traffic. To facilitate network slicing in such a network, we employ different 5G radio access numerologies for two traffic classes which have distinct radio resource and quality of service requirements. Three multi-dimensional Markov models are developed to assess the transient performance of network slicing for resource allocation with and without traffic priority. Through analysis and simulations, we investigate the effects of smart grid protection and control traffic on other types of parallel traffic sessions as well as on radio resource utilization.",

keywords = "5G numerologies, Markov modelling, RAN slicing, resource allocation, smart grid",

author = "Mendis, {H. V.Kalpanie} and Heegaard, {Poul E.} and Vicente Casares-Giner and Li, {Frank Y.} and Katina Kralevska",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 26th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2021 ; Conference date: 25-10-2021 Through 27-10-2021",

year = "2021",

doi = "10.1109/CAMAD52502.2021.9617808",

language = "English",

series = "IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD",

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

booktitle = "2021 IEEE 26th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2021 - Proceedings",

}

Mendis, HVK, Heegaard, PE, Casares-Giner, V, Li, FY & Kralevska, K 2021, Transient Performance Modelling of 5G Slicing with Mixed Numerologies for Smart Grid Traffic. in 2021 IEEE 26th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2021 - Proceedings. IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD, Bd. 2021-October, Institute of Electrical and Electronics Engineers Inc., 26th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2021, Porto, Portugal, 25/10/21. https://doi.org/10.1109/CAMAD52502.2021.9617808

Transient Performance Modelling of 5G Slicing with Mixed Numerologies for Smart Grid Traffic. / Mendis, H. V.Kalpanie; Heegaard, Poul E.; Casares-Giner, Vicente et al.
2021 IEEE 26th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. (IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD; Band 2021-October).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

TY - GEN

T1 - Transient Performance Modelling of 5G Slicing with Mixed Numerologies for Smart Grid Traffic

AU - Mendis, H. V.Kalpanie

AU - Heegaard, Poul E.

AU - Casares-Giner, Vicente

AU - Li, Frank Y.

AU - Kralevska, Katina

PY - 2021

Y1 - 2021

N2 - Network slicing enabled by fifth generation (5G) systems has the potential to satisfy diversified service requirements from different vertical industries. As a typical vertical industry, smart distribution grid poses new challenges to communication networks. This paper investigates the behavior of network slicing for smart grid applications in 5G radio access networks with heterogeneous traffic. To facilitate network slicing in such a network, we employ different 5G radio access numerologies for two traffic classes which have distinct radio resource and quality of service requirements. Three multi-dimensional Markov models are developed to assess the transient performance of network slicing for resource allocation with and without traffic priority. Through analysis and simulations, we investigate the effects of smart grid protection and control traffic on other types of parallel traffic sessions as well as on radio resource utilization.

AB - Network slicing enabled by fifth generation (5G) systems has the potential to satisfy diversified service requirements from different vertical industries. As a typical vertical industry, smart distribution grid poses new challenges to communication networks. This paper investigates the behavior of network slicing for smart grid applications in 5G radio access networks with heterogeneous traffic. To facilitate network slicing in such a network, we employ different 5G radio access numerologies for two traffic classes which have distinct radio resource and quality of service requirements. Three multi-dimensional Markov models are developed to assess the transient performance of network slicing for resource allocation with and without traffic priority. Through analysis and simulations, we investigate the effects of smart grid protection and control traffic on other types of parallel traffic sessions as well as on radio resource utilization.

KW - 5G numerologies

KW - Markov modelling

KW - RAN slicing

KW - resource allocation

KW - smart grid

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U2 - 10.1109/CAMAD52502.2021.9617808

DO - 10.1109/CAMAD52502.2021.9617808

M3 - Conference contribution

AN - SCOPUS:85123010124

T3 - IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD

BT - 2021 IEEE 26th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2021 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 26th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2021

Y2 - 25 October 2021 through 27 October 2021

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Mendis HVK, Heegaard PE, Casares-Giner V, Li FY, Kralevska K. Transient Performance Modelling of 5G Slicing with Mixed Numerologies for Smart Grid Traffic. in 2021 IEEE 26th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2021. (IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD). doi: 10.1109/CAMAD52502.2021.9617808

Transient Performance Modelling of 5G Slicing with Mixed Numerologies for Smart Grid Traffic

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