GADaM: Generic Adaptive Deep-learning-based Multipath Scheduler Selector for Dynamic Heterogeneous Environment

Tran-Tuan Chu, Mohamed Aymen Labiod, Hai Anh Tran, Abdelhamid Mellouk. GADaM: Generic Adaptive Deep-learning-based Multipath Scheduler Selector for Dynamic Heterogeneous Environment. In IEEE International Conference on Communications, ICC 2022, Seoul, Korea, May 16-20, 2022. pages 4908-4913, IEEE, 2022. [doi]

@inproceedings{ChuLTM22,
  title = {GADaM: Generic Adaptive Deep-learning-based Multipath Scheduler Selector for Dynamic Heterogeneous Environment},
  author = {Tran-Tuan Chu and Mohamed Aymen Labiod and Hai Anh Tran and Abdelhamid Mellouk},
  year = {2022},
  doi = {10.1109/ICC45855.2022.9838658},
  url = {https://doi.org/10.1109/ICC45855.2022.9838658},
  researchr = {https://researchr.org/publication/ChuLTM22},
  cites = {0},
  citedby = {0},
  pages = {4908-4913},
  booktitle = {IEEE International Conference on Communications, ICC 2022, Seoul, Korea, May 16-20, 2022},
  publisher = {IEEE},
  isbn = {978-1-5386-8347-7},
}