Delmu: A Deep Learning Approach to Maximising the Utility of Virtualised Millimetre-Wave Backhauls

Rui Li, Chaoyun Zhang, Pan Cao, Paul Patras, John S. Thompson. Delmu: A Deep Learning Approach to Maximising the Utility of Virtualised Millimetre-Wave Backhauls. In Éric Renault, Paul Mühlethaler, Selma Boumerdassi, editors, Machine Learning for Networking - First International Conference, MLN 2018, Paris, France, November 27-29, 2018, Revised Selected Papers. Volume 11407 of Lecture Notes in Computer Science, pages 146-165, Springer, 2018. [doi]

@inproceedings{LiZCPT18,
  title = {Delmu: A Deep Learning Approach to Maximising the Utility of Virtualised Millimetre-Wave Backhauls},
  author = {Rui Li and Chaoyun Zhang and Pan Cao and Paul Patras and John S. Thompson},
  year = {2018},
  doi = {10.1007/978-3-030-19945-6_10},
  url = {https://doi.org/10.1007/978-3-030-19945-6_10},
  researchr = {https://researchr.org/publication/LiZCPT18},
  cites = {0},
  citedby = {0},
  pages = {146-165},
  booktitle = {Machine Learning for Networking - First International Conference, MLN 2018, Paris, France, November 27-29, 2018, Revised Selected Papers},
  editor = {Éric Renault and Paul Mühlethaler and Selma Boumerdassi},
  volume = {11407},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-19945-6},
}