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CogNitive 5G networks: Comprehensive operator use cases with machine learning for management operations | IEEE Conference Publication | IEEE Xplore

CogNitive 5G networks: Comprehensive operator use cases with machine learning for management operations


Abstract:

This paper presents a novel cognitive management architecture developed within the H2020 CogNet project to manage 5G networks. We also present the instantiation of this a...Show More

Abstract:

This paper presents a novel cognitive management architecture developed within the H2020 CogNet project to manage 5G networks. We also present the instantiation of this architecture for two Operator use cases, namely `SLA enforcement' and `Mobile Quality Predictor'. The SLA enforcement use case tackles the SLA management with machine learning techniques, precisely, LSTM (Long Short Term Memory). The second use case, Mobile Quality Predictor, proposes a framework using machine learning to enable an accurate bandwidth prediction for each mobile subscriber in real-time. A problem statement, stakeholders, an instantiation of the cognitive management architecture, a related work as well as an evaluation results are presented for each use case.
Date of Conference: 07-09 March 2017
Date Added to IEEE Xplore: 17 April 2017
ISBN Information:
Electronic ISSN: 2472-8144
Conference Location: Paris, France

References

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