Sensing TVWS with open source technology in Ecuador
Abstract
RESUMEN
La identificación de TVWS es fundamental para concientizar sobre la existencia de espectro radio eléctrico subutilizado y que podría ser utilizado para aliviar la falta de espectro existente. Estándares recientes que aplican Radio Cognitiva tales como WRAN o White-Fi pueden ser utilizados para explotar estas frecuencias. Las herramientas tradicionales utilizadas para detectar TVWS son caras difíciles de aprender. La utilización de hardware y software libre, así como un método basado en detección de energía para desarrollar una herramienta que ayude a detectar estos TVWS, es presentada para evaluar el espectro radio eléctrico en la banda UHF desde 500 MHz hasta 686 MHz en la provincia de Pichincha del Ecuador, Sudamérica.
Palabras clave: TVWS, espectro, detección de energía, código abierto, Raspberry PI.
ABSTRACT
The identification of TVWS is fundamental to raise awareness about the existence of spectrum that is currently underutilized and that could be used to alleviate the current spectrum crunch. Recent standards that employ Cognitive Radio such as WRAN or White-Fi can then be employed for the exploitation of these frequencies. The traditional tools used to detect TVWS are expensive and difficult to master. The utilization of open hardware, software and an energy based detection method that helps detect these TVWS is developed and presented to assess the radio electric spectrum in the UHF band from 500 MHz to 686 MHz in the Pichincha province of Ecuador, South America.
Keywords: TVWS, spectrum, energy detection, open source, Raspberry PI.
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