Consideration on automation of 5G network slicing with machine learning

VP Kafle, Y Fukushima, P Martinez-Julia… - … Learning for a 5G …, 2018 - ieeexplore.ieee.org
Machine learning has the capability to provide simpler solutions to complex problems by
analyzing a huge volume of data in a short time, learning for adapting its functionality to …
被引用次数：95 相关文章
[PDF] semanticscholar.org

[PDF][PDF] Consideration on Automation of 5G Network Slicing with Machine Learning

VP Kafle - pdfs.semanticscholar.org
–End-to-end network has 1000 units of resources: classified into type 1 (100 units) and type
2 (1 unit)–Appling SVM to determine classification boundary–Two types of VN service …
[PDF] researchmap.jp

[PDF][PDF] CONSIDERATION ON AUTOMATION OF 5G NETWORK SLICING WITH MACHINE LEARNING

VP Kafle, Y Fukushima, P Martinez-Julia, T Miyazawa - researchmap.jp
Machine learning has the capability to provide simpler solutions to complex problems by
analyzing a huge volume of data in a short time, learning for adapting its functionality to …
[PDF] researchgate.net

[PDF][PDF] CONSIDERATION ON AUTOMATION OF 5G NETWORK SLICING WITH MACHINE LEARNING

VP Kafle, Y Fukushima, P Martinez-Julia, T Miyazawa - researchgate.net
Machine learning has the capability to provide simpler solutions to complex problems by
analyzing a huge volume of data in a short time, learning for adapting its functionality to …
[PDF] itu.int

[PDF][PDF] Consideration on Automation of 5G Network Slicing with Machine Learning

VP Kafle - itu.int
–End-to-end network has 1000 units of resources: classified into type 1 (100 units) and type
2 (1 unit)–Appling SVM to determine classification boundary–Two types of VN service …