Can machine learning aid in delivering new use cases and scenarios in 5G?

Teodora Sandra Buda, Haytham Assem, Lei Xu, Danny Raz, Udi Margolin, Elisha J. Rosensweig, Diego R. Lopez, Marius Iulian Corici, Mikhail Smirnov, Robert Mullins, Olga Uryupina, Alberto Mozo, Bruno Ordozgoiti Rubio, Angel Martin, Alaa Alloush, Pat O'Sullivan, Imen Grida Ben Yahia. Can machine learning aid in delivering new use cases and scenarios in 5G?. In Sema Oktug, Mehmet Ulema, Cicek Cavdar, Lisandro Zambenedetti Granville, Carlos Raniery Paula dos Santos, editors, 2016 IEEE/IFIP Network Operations and Management Symposium, NOMS 2016, Istanbul, Turkey, April 25-29, 2016. pages 1279-1284, IEEE, 2016. [doi]

@inproceedings{BudaAXRMRLCSMUM16,
  title = {Can machine learning aid in delivering new use cases and scenarios in 5G?},
  author = {Teodora Sandra Buda and Haytham Assem and Lei Xu and Danny Raz and Udi Margolin and Elisha J. Rosensweig and Diego R. Lopez and Marius Iulian Corici and Mikhail Smirnov and Robert Mullins and Olga Uryupina and Alberto Mozo and Bruno Ordozgoiti Rubio and Angel Martin and Alaa Alloush and Pat O'Sullivan and Imen Grida Ben Yahia},
  year = {2016},
  doi = {10.1109/NOMS.2016.7503003},
  url = {http://dx.doi.org/10.1109/NOMS.2016.7503003},
  researchr = {https://researchr.org/publication/BudaAXRMRLCSMUM16},
  cites = {0},
  citedby = {0},
  pages = {1279-1284},
  booktitle = {2016 IEEE/IFIP Network Operations and Management Symposium, NOMS 2016, Istanbul, Turkey, April 25-29, 2016},
  editor = {Sema Oktug and Mehmet Ulema and Cicek Cavdar and Lisandro Zambenedetti Granville and Carlos Raniery Paula dos Santos},
  publisher = {IEEE},
  isbn = {978-1-5090-0223-8},
}