vrAIn: A Deep Learning Approach Tailoring Computing and Radio Resources in Virtualized RANs

Jose A. Ayala-Romero, Andres Garcia-Saavedra, Marco Gramaglia, Xavier Costa-Pérez, Albert Banchs, Juan J. Alcaraz. vrAIn: A Deep Learning Approach Tailoring Computing and Radio Resources in Virtualized RANs. In Stephen A. Brewster, Geraldine Fitzpatrick, Anna L. Cox, Vassilis Kostakos, editors, The 25th Annual International Conference on Mobile Computing and Networking, MobiCom 2019, Los Cabos, Mexico, October 21-25, 2019. ACM, 2019. [doi]

@inproceedings{Ayala-RomeroGGC19,
  title = {vrAIn: A Deep Learning Approach Tailoring Computing and Radio Resources in Virtualized RANs},
  author = {Jose A. Ayala-Romero and Andres Garcia-Saavedra and Marco Gramaglia and Xavier Costa-Pérez and Albert Banchs and Juan J. Alcaraz},
  year = {2019},
  doi = {10.1145/3300061.3345431},
  url = {https://doi.org/10.1145/3300061.3345431},
  researchr = {https://researchr.org/publication/Ayala-RomeroGGC19},
  cites = {0},
  citedby = {0},
  booktitle = {The 25th Annual International Conference on Mobile Computing and Networking, MobiCom 2019, Los Cabos, Mexico, October 21-25, 2019},
  editor = {Stephen A. Brewster and Geraldine Fitzpatrick and Anna L. Cox and Vassilis Kostakos},
  publisher = {ACM},
  isbn = {978-1-4503-6169-9},
}