LoRaDRL: Deep Reinforcement Learning Based Adaptive PHY Layer Transmission Parameters Selection for LoRaWAN

Inaam Ilahi, Muhammad Usama, Muhammad Omer Farooq, Muhammad Umar Janjua, Junaid Qadir 0001. LoRaDRL: Deep Reinforcement Learning Based Adaptive PHY Layer Transmission Parameters Selection for LoRaWAN. In Hwee Pink Tan, Lyes Khoukhi, Sharief Oteafy, editors, 45th IEEE Conference on Local Computer Networks, LCN 2020, Sydney, Australia, November 16-19, 2020. pages 457-460, IEEE, 2020. [doi]

@inproceedings{IlahiUFJ020,
  title = {LoRaDRL: Deep Reinforcement Learning Based Adaptive PHY Layer Transmission Parameters Selection for LoRaWAN},
  author = {Inaam Ilahi and Muhammad Usama and Muhammad Omer Farooq and Muhammad Umar Janjua and Junaid Qadir 0001},
  year = {2020},
  doi = {10.1109/LCN48667.2020.9314772},
  url = {https://doi.org/10.1109/LCN48667.2020.9314772},
  researchr = {https://researchr.org/publication/IlahiUFJ020},
  cites = {0},
  citedby = {0},
  pages = {457-460},
  booktitle = {45th IEEE Conference on Local Computer Networks, LCN 2020, Sydney, Australia, November 16-19, 2020},
  editor = {Hwee Pink Tan and Lyes Khoukhi and Sharief Oteafy},
  publisher = {IEEE},
  isbn = {978-1-7281-7158-6},
}