Please use this identifier to cite or link to this item: 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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