TY - GEN
T1 - Autonomous Network Management in Multi-Domain 6G Networks based on Graph Neural Networks
AU - Aykurt, Kaan
AU - Kellerer, Wolfgang
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Sixth-generation (6G) networks propose integrating multiple networks and domains while improving network performance. Hence, today's networks are becoming increasingly larger and more complex. Traditional methods to manage networks are facing significant challenges as the topology sizes, traffic patterns, and network domains are changing.This paper presents the state-of-the-art in literature for network management and proposes a research plan for an autonomous network management framework fueled by the Digital Twin (DT) paradigm. Unlike the existing methods such as Queuing Theory (QT) or network simulation studies, the proposed framework relies on state-of-the-art Graph Neural Networks (GNNs) for network performance analysis. We argue that seamless integration of networks while improving performance guarantees can be achieved via autonomous management of networks and present a research plan in this paper.
AB - Sixth-generation (6G) networks propose integrating multiple networks and domains while improving network performance. Hence, today's networks are becoming increasingly larger and more complex. Traditional methods to manage networks are facing significant challenges as the topology sizes, traffic patterns, and network domains are changing.This paper presents the state-of-the-art in literature for network management and proposes a research plan for an autonomous network management framework fueled by the Digital Twin (DT) paradigm. Unlike the existing methods such as Queuing Theory (QT) or network simulation studies, the proposed framework relies on state-of-the-art Graph Neural Networks (GNNs) for network performance analysis. We argue that seamless integration of networks while improving performance guarantees can be achieved via autonomous management of networks and present a research plan in this paper.
KW - digital twins
KW - multi-domain networks
KW - network management
UR - http://www.scopus.com/inward/record.url?scp=85166475599&partnerID=8YFLogxK
U2 - 10.1109/NetSoft57336.2023.10175480
DO - 10.1109/NetSoft57336.2023.10175480
M3 - Conference contribution
AN - SCOPUS:85166475599
T3 - 2023 IEEE 9th International Conference on Network Softwarization: Boosting Future Networks through Advanced Softwarization, NetSoft 2023 - Proceedings
SP - 338
EP - 341
BT - 2023 IEEE 9th International Conference on Network Softwarization
A2 - Bernardos, Carlos J.
A2 - Martini, Barbara
A2 - Rojas, Elisa
A2 - Verdi, Fabio Luciano
A2 - Zhu, Zuqing
A2 - Oki, Eiji
A2 - Parzyjegla, Helge
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th IEEE International Conference on Network Softwarization, NetSoft 2023
Y2 - 19 June 2023 through 23 June 2023
ER -