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http://hdl.handle.net/10553/49276
Title: | DSA with reinforcement learning in the HF band | Authors: | Modi, Navikkumar Moy, Christophe Perez-Alvarez, Ivan Bader, Faouzi Zazo, Santiago Melian Gutierrez,Laura Beatriz |
UNESCO Clasification: | 3325 Tecnología de las telecomunicaciones | Keywords: | Ionosphere Radiofrequency HF |
Issue Date: | 2015 | Journal: | 2015 1st URSI Atlantic Radio Science Conference, URSI AT-RASC 2015 | Conference: | 1st URSI Atlantic Radio Science Conference, URSI AT-RASC 2015 | 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. | URI: | http://hdl.handle.net/10553/49276 | ISBN: | 9789090086286 | DOI: | 10.1109/URSI-AT-RASC.2015.7302978 | Source: | 2015 1st URSI Atlantic Radio Science Conference, URSI AT-RASC 2015 (7302978) |
Appears in Collections: | Actas de congresos |
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