6G-ACCORD: Beyond SotA Intent Conflict Resolution Drivers for 6G Autonomous Networks

Automation, which has been used successfully for a long time in a variety of industries, most recently networking and computers, requires closed loops. The Zero-touch network and service management (ZSM) system, which supplied standardized components that allow the development, execution, and governance of multiple closed loops, enables zero-touch administration of end-to-end services across different management domains. The outstanding problem of how to implement many closed loops in an optimal and coordinated way will need to be addressed by the ZSM standards. One essential 6G enabler that aids in automating network elements and computational infrastructures is intent-based networking. In this field, artificial intelligence (AI)-powered intent-based automation will be able to guarantee a high degree of sustainability, efficiency, scalability, and security; especially in situations for cross-domain and interoperable deployment, where points of presence (PoPs) are nonindependent (non-IID) and uniformly dispersed. To do this, we discuss a brand-new intended Conflict Reconciliation (CR) method that uses ultra-fast converging Game-Theoretic actors in conjunction with fully end-to-end Deep Reinforcement Learning (DRL) and closed loops from the resource layer to the business layer.

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Publication Details

Published
2024-10-21
DOI
https://doi.org/10.1109/camad62243.2024.10942716
Citations
1
Primary Topic
Software-Defined Networks and 5G
Type
article
Field-Weighted Citation Impact
0.35
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article

6G-ACCORD: Beyond SotA Intent Conflict Resolution Drivers for 6G Autonomous Networks

Christos Verikoukis, Anastasios N. Bikos
1 citations
Software-Defined Networks and 5G
0.35
article

6G-ACCORD: Beyond SotA Intent Conflict Resolution Drivers for 6G Autonomous Networks

Christos Verikoukis, Anastasios N. Bikos
article en
1 citations

Abstract

Automation, which has been used successfully for a long time in a variety of industries, most recently networking and computers, requires closed loops. The Zero-touch network and service management (ZSM) system, which supplied standardized components that allow the development, execution, and governance of multiple closed loops, enables zero-touch administration of end-to-end services across different management domains. The outstanding problem of how to implement many closed loops in an optimal and coordinated way will need to be addressed by the ZSM standards. One essential 6G enabler that aids in automating network elements and computational infrastructures is intent-based networking. In this field, artificial intelligence (AI)-powered intent-based automation will be able to guarantee a high degree of sustainability, efficiency, scalability, and security; especially in situations for cross-domain and interoperable deployment, where points of presence (PoPs) are nonindependent (non-IID) and uniformly dispersed. To do this, we discuss a brand-new intended Conflict Reconciliation (CR) method that uses ultra-fast converging Game-Theoretic actors in conjunction with fully end-to-end Deep Reinforcement Learning (DRL) and closed loops from the resource layer to the business layer.

Industrial Systems Institute (GR), Iquadrat (Spain) (ES)
Openalex Percentile: Top 33%
Software-Defined Networks and 5G
0.35
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