AuthorsM. Xie, J. Pujol-Roig, F. Michelinakis, T. Dreibholz, C. Guerrero, A. Sanchez, W. Y. Poe, Y. Wang and A. M. Elmokashfi
TitleAI-Driven Closed-Loop Service Assurance with Service Exposures
AfilliationCommunication Systems
Project(s)5G-VINNI: 5G Verticals INNovation Infrastructure , NorNet, The Center for Resilient Networks and Applications
StatusPublished
Publication TypeProceedings, refereed
Year of Publication2020
Conference NameProceedings of the 29th IEEE European Conference on Networks and Communications (EuCNC)
Date Published06/2020
PublisherIEEE Computer Society
Place PublishedDubrovnik, Dubrovnik-Neretva/Croatia
KeywordsAI, Service Assurance, Service Exposure
Abstract

Artificial Intelligence (AI) is widely applied in mobile and wireless networks to enhance network operation and service management. Advanced AI mechanisms often require high level of network service exposure in order to access data from as many network elements as possible and execute the AI recommended outcomes into the networks. However, in practice, it is not always feasible to expose the network services to 3rd parties or customers with AI ambitions. Considering that service assurance (SA) is a major area to which AI is applied, this paper describes how a closed-loop SA architecture is associated with the service exposure model in the 5G networks with network slicing. Then we investigate the impact and implication of service exposure on SA. Finally, a set of experiment results are provided to demonstrate the trade-off relationship between the AI ambition and the exposure level in SA.

Citation Key EuCNC2020

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