• DocumentCode
    3675134
  • Title

    DSA with reinforcement learning in the HF band

  • Author

    Laura Melian-Gutierrez;Navikkumar Modi;Christophe Moy;Ivan Perez-Alvarez;Faouzi Bader;Santiago Zazo

  • Author_Institution
    IDeTIC, Universidad de Las Palmas de Gran Canaria, Spain
  • fYear
    2015
  • fDate
    5/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    1
  • Abstract
    Using the ionosphere as a passive reflector allows trans-horizon communications in the HF band, which covers the radiofrequency spectrum from 3 to 30 MHz. This band is mainly used for military communications, but also for aeronautical, maritime, and amateur communications. Besides its propagation changeability, the limitation of the HF band is the existence of multiple uncontrolled collisions between users. Even if HF stations use the Automatic Link Establishment protocol (MIL-STD-188-141B), they select their transmission channel according to its internal ranking based only on the channel propagation characteristics. Therefore, we propose to add some adaptability and cognition into the exploitation of the HF band as a good solution to diminish the inefficient use of the band.
  • Publisher
    ieee
  • Conference_Titel
    Radio Science Conference (URSI AT-RASC), 2015 1st URSI Atlantic
  • Type

    conf

  • DOI
    10.1109/URSI-AT-RASC.2015.7302978
  • Filename
    7302978