Open Access
5G Network Optimization Using Artificial Intelligence
Marco Rossi
1
,
Emma Wilson
2
,
Pierre Martin
3
,
Alexandra Papadopoulos
4
,
Burak Şahin
5
,
Emma Wilson
2
,
Pierre Martin
3
,
Alexandra Papadopoulos
4
,
Burak Şahin
5
1
University of Bologna, Italy
2
University of Melbourne, Australia
3
INRAE, France
4
National and Kapodistrian University of Athens, Greece
5
Bilkent University, Turkey
Abstract
This study investigates this research area using advanced computational methods. We propose a novel framework that combines advanced algorithms with modern techniques to achieve improved performance. The experimental results demonstrate significant improvements, achieving up to 31% enhancement in overall efficiency. Our approach integrates multiple data sources to create comprehensive predictive models. The findings suggest that significant improvements can be achieved with the proposed approach.
Keywords
cloud computing,microservices,DevOps,containers,Kubernetes
How to Cite
Rossi, M., Wilson, E., Martin, P., Papadopoulos, A., & Şahin, B. (2019). 5G Network Optimization Using Artificial Intelligence. Nivo Light - International Journal of Research & Innovation, 1(3), 28–33. https://doi.org/10.28051/ojstest-15
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