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Melián Gutiérrez, Laura and Zazo Bello, Santiago and Blanco Murillo, José Luis and Pérez Álvarez, Iván and García Rodríguez, Adrián José and Pérez Díaz, Baltasar (2012). Efficiency improvement of HF communications using cognitive radio principles. In: "12th IET International Conference on Ionospheric Radio Systems and Techniques (IRST 2012),", 15/05/2012 - 17/05/2012, York, UK. ISBN 978-1-84919-623-9. pp. 1-5.
Title: | Efficiency improvement of HF communications using cognitive radio principles |
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Author/s: |
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Item Type: | Presentation at Congress or Conference (Article) |
Event Title: | 12th IET International Conference on Ionospheric Radio Systems and Techniques (IRST 2012), |
Event Dates: | 15/05/2012 - 17/05/2012 |
Event Location: | York, UK |
Title of Book: | 12th IET International Conference on Ionospheric Radio Systems and Techniques (IRST 2012), |
Date: | 2012 |
ISBN: | 978-1-84919-623-9 |
Subjects: | |
Freetext Keywords: | Cognitive Radio, HF, Hidden Markov Model, Spectrum Activity Model. |
Faculty: | E.T.S.I. Telecomunicación (UPM) |
Department: | Señales, Sistemas y Radiocomunicaciones |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
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Cognitive Radio principles can be applied to HF communications to make a more efficient use of the extremely scarce spectrum. In this contribution we focus on analyzing the usage of the available channels done by the legacy users, which are regarded as primary users since they are allowed to transmit without resorting any smart procedure, and consider the possibilities for our stations -over the HFDVL (HF Data+Voice Link) architecture- to participate as secondary users. Our goal is to enhance an efficient use of the HF band by detecting the presence of uncoordinated primary users and avoiding collisions with them while transmitting in different HF channels using our broad-band HF transceiver. A model of the primary user activity dynamics in the HF band is developed in this work. It is based on Hidden Markov Models (HMM) which are a powerful tool for modelling stochastic random processes, and is trained with real measurements from the 14 MHz band.
Item ID: | 20237 |
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DC Identifier: | https://oa.upm.es/20237/ |
OAI Identifier: | oai:oa.upm.es:20237 |
Official URL: | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?... |
Deposited by: | Memoria Investigacion |
Deposited on: | 01 Oct 2013 16:09 |
Last Modified: | 21 Apr 2016 22:58 |