MIME-Version: 1.0 Content-Type: multipart/related; boundary="----=_NextPart_01D64FE3.9BC185D0" Este documento es una página web de un solo archivo, también conocido como "archivo de almacenamiento web". Si está viendo este mensaje, su explorador o editor no admite archivos de almacenamiento web. Descargue un explorador que admita este tipo de archivos. ------=_NextPart_01D64FE3.9BC185D0 Content-Location: file:///C:/A4F90DE6/680-2150-1-PB-F.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="windows-1252" Andy Vega

 

 


= Revisión al Desarrollo de la Tecnología de Radio Cognitiva en Band= as VHF – UHF en el Ecuador

 

Review of the Development of VHF - UHF Bands Cognitive Radio Technology in Ecuador

 

 =

Andy Veg= a

Universidad Nacional de Loja

Loja, Ecuador

andy.vega@unl.edu.ec

Orcid: 0000-0003-0106-6880

 

 


ResumenLa paulatina demanda, sobreutilización y subutilización espectral son factores= que han denotado, a nivel gubernamental y de investigación, una búsqueda de soluciones legales y tecnológicas para optimizar el uso del espectro radioeléctrico. Bajo este argumento, el documento aborda una revisión al es= tado del arte sobre la aplicación de la tecnología de Radio Cognitiva (RC) sobre redes de sensores inalámbricos cognitivos (CWSN, Cogni= tive Wireless Sensor Networks), o de reúso espectral para la explotación de forma mejorada del espectro radioeléctrico en bandas VHF – UHF en el Ecuador. Esta recopilación u observación permitiría identificar el estado del arte para el desarrollo del proyecto de investigación “Smart UNL”, que pretende desplegar una red de sensores inalámbricos basados en Radio Cognitiva (RC), para cont= rol de luminarias dentro de un Smart Campus. Los resultados evidencian cero aprovechamientos del concepto fundamental de RC para este tipo de aplicacio= nes, ya que los trabajos investigados se orientan a otro tipo de estudios de telecomunicaciones RC, lo que entrevé un amplio campo de aplicación y desarrollo de CWSN para una posible gestión y control de componentes de un Smart Campus.

 

 

Palabras Clave: Telecomunicaciones, Radi= o, Cognitiva, Frecuencia, Espectro, Inalámbricas.  

 

 

E= nviado: 28/09/2018                                       Aceptado: 13/05= /2020                                     <= b>Publicado: 30/06/2020

 

Sumario: I. Introducción, II. Radio cognitiva (RC), III. Radio cognitiva en el mundo, IV. Redes de sensores inalámbri= cos, V. Contexto de radio cognitiva en Ecuador para Smart Campus. Una revisi= ón, VI. Conclusión y trabajo futuro.

Como citar: Vega, Andy. (2020). Revisión al Desarrollo de la Tecnología de Radio Cognitiva en Bandas VHF – UHF en el Ecuador. Revista Tecnológica - Espol, 32(1). Recupe= rado a partir de http://www.rte.espol.edu.ec/index.php/tecnologica/article/view/680<= o:p>

 

http://www.rte.espol.edu.ec/index.php/tecnologica= /article/view/680

https://doi.org/10.37815/rte.v32n1.680=

 

AbstractReview of the Development of VHF-UHF Band Cognitive Radio Technology in Ecuador Gradual demand, overuse and under-utilization of the spectrum are factors that have denoted, at the government and research levels, a search for legal and technological solutions to optimize the use of the radio spectrum. Under th= is argument, the document addresses a review of the state of the art on the application of Cognitive Radio (CR) technology on Cognitive Wireless Sensor Networks (CWSN) or spectral reuse for the improved exploitation of the radio spectrum in VHF - UHF bands in Ecuador. This collection or observation would allow the identification of the state of the art for the development of the research project "Smart UNL" that intends to deploy a network of wireless sensors based on Cognitive Radio (CR) for control of luminaires wi= thin a Smart Campus. The results show that the fundamental concept of CR for this type of application is not being exploited since the researched work is oriented towards other types of CR telecommunications studies, which sugges= ts a wide field of application and development of CWSN for the possible manageme= nt and control of components of a Smart Campus.

 

 <= /o:p>

Keywords: Telecommunications, Radio, Cognitive, Frequency, Spectrum, Wireless= .

 

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El des= arrollo de las telecomunicaciones a nivel mundial representa una reingeniería conti= nua de sus aspectos técnicos, administrativos y legales. La gestión del espectr= o radioeléctrico no deja de ser un tema de gran interés para los gobiernos de turno y, en particular, para los entes técnicos responsables de su administración y control. Será entonces de gran importancia desarrollar mecanismos tecnológi= cos que puedan ser partícipes de una mejora en la explotación espectral, aprovechando las instancias de subutilización o infrautilización de frecuen= cias que, medios como la radio y televisión, ocasionan durante su normal operaci= ón. Los sistemas de Radio Cognitiva (RC) sin duda se han establecido como una tentativa de aplicación en las tecnologías de telecomunicaciones; por ser u= na forma de comunicación inalámbrica, en la que un transceptor inteligente pue= de detectar los canales de comunicación que se están utilizando y los que no se están utilizando, y al instante pasar a los canales no empleados, evitando = al mismo tiempo los ocupados. Esto optimiza el uso del espectro de radiofrecue= ncias (RF) y la posibilidad de reducir al mínimo la interferencia a otros usuarios [2]. En la actualidad, el desarrollo de los sistemas cognitivos ha tenido un moderado despliegue, derivado de condiciones de carácter mundial donde las presiones de los diferentes mercados para establecer estándares y normalizaciones se hace cada vez más fuerte y, donde a su vez, se debe mant= ener flexibilidad suficiente para permitir la innovación tecnológica de empresas= , compañías e instituciones. Ante este escenario, la Universidad Nacional de Loja a tra= vés del proyecto “Smart UNL”, busca posicionar su propia arquitectura Smart don= de además se investiga la posibilidad de implementar técnicas de comunicacione= s apegadas a la optimización espectral como lo considera RC, todo esto originado por l= a penetración= de las redes inalámbricas en nuestra sociedad, habiendo previsiones de crecimi= ento muy elevadas con la irrupción del Internet de las Cosas (IoT). Sin embargo, esta interconexión masiva desboca en la aparición de inconvenientes como son primordialmente la saturación del espectro radioeléctrico o las interferencias provocadas entre sistemas, lo que reper= cute en la calidad del servicio y por lo tanto supone un problema para la conexi= ón de elementos. Será entonces importante recapitular el contexto de los sistemas de Radio Cognitiva, conocer su penetración, aplicación y desarroll= o actual, principalmente en el Ecuador, con el afán de aplicarla dentro del diseño y despliegue de redes de sensores inalámbricos, que, dicho sea de paso, al lo= grar su funcionamiento pueden ser útiles para la gestión y control de un sin núm= ero de componentes IoT en los denominados Smart Cam= pus.=

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      =             &nb= sp;            =             &nb= sp;            =             &nb= sp;            =             &nb= sp;            =             &nb= sp;            =   II. RADIO COGNITIVA (RC)<= span lang=3DES-US style=3D'font-size:12.0pt;line-height:102%'>=

La nec= esidad de innovación en diferentes sistemas de telecomunicaciones, demandadas por = las nuevas necesidades sociales, provocó la intromisión de novedosos conceptos y tecnologías para soportar el avance de las comunicaciones, y específicament= e, en los sistemas inalámbricos. Así, Joseph Mitola III en 1991 involucró el término Radio definido por Software (SDR o Radio Softw= are), con el objeto de referirse a un tipo de radios configurables y reprogramabl= es, equipos donde elementos de hardware son capaces de realizar diferentes funciones en distintos instantes de tiempo, con la introducción de cambios = en su configuración mediante software [2]. El concepto SDR surge para solucion= ar parcialmente inconvenientes de compatibilidad e interoperabilidad en redes inalámbricas, ya que establecen un conjunto de procedimientos y técnicas orientadas a realizar el procesamiento de señales de información por medio = de un dispositivo de propósito general, el cual puede ser modificado mediante software, logrando así un cambio dinámico, automático y eficiente entre tecnologías, sin tener que incurrir en gastos/costes por concepto de nuevos equipos y evitando incrementos considerables en el tamaño de éstos [4].

 = ;

2.1.- Redes de Radio Cognitiva – (CRNs)

Las CRNs, o redes de acceso dinámico al espectro (Dynamic= Spectrum Access Networks, DSANs<= /span>), brindan un gran ancho de banda a los usuarios móviles a través de arquitect= uras heterogéneas inalámbricas y técnicas de acceso dinámico al espectro (Ver Fi= gura 1). El uso eficiente del espectro existente puede mejorarse, a través del acceso oportunista por usuarios secundarios, a bandas con licencia o sin licencia, donde se asegura la no creación de interferencias. Sin embargo, l= as CRNs imponen retos a la investigación debido a los problemas técnicos que aún se presentan, donde varios de estos inconvenient= es requieren de soluciones eficientes.

 

Figura 1.- Arquitectura de una CR

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2.2.- Capacidad Cognitiva

La cap= acidad cognitiva de una RC permite la interacción, en tiempo real, con un ambiente= de radiofrecuencia para determinar parámetros de comunicación apropiados y, adaptarse al entorno radio de modo dinámico. Los pasos requeridos se muestr= an en la figura 2 y se los conoce como ciclo cognitivo.

 

3D"*"       Detección del Espectro. - La RC analiza las bandas de espectro disponibles, recoge su información, y después detecta los white spaces (espacios va= cíos o huecos espectrales) en el espectro.

3D"*"       Análisis del Espectro. - Consiste en evaluar las características de los huecos espectrales que han sido detectados en el pri= mer paso.

3D"*"       Decisión Espectral. - La RC determina la tasa de datos, el modo de transmisión y el ancho de banda de transmisión. <= /p>

3D"*"       Después la banda de espectro apropiada se escoge teniendo= en cuenta las características del espectro y los requerimientos de los usuarios [5].

 

Figura 2.- Ciclo cognitivo

 

2.3.- Detección de Espectro

Los sistemas de Radio Cognitiva = se muestran como una alternativa tecnológica para el uso eficiente del espectro radioeléctrico. Su capacidad de detectar partes del espectro, que están o no siendo usadas por las diferentes señales emitidas por usuarios múltiples y legítimos de los servicios de telecomunicaciones, la hacen capaz de transmi= tir en bandas de frecuencia como televisión y radiodifusión. Para ello existe u= na clasificación de usuarios: los primarios y los secundarios. Los usuarios secundarios pueden tener acceso y compartir el espectro si los usuarios primarios están inactivos o, en caso de que los niveles de señal primaria emitida sean insignificantes para la recepción [2]. Existen tres técnicas de detección del espectro: detección de energía, detección por filtro adaptado= y detección ciclo estacionaria. Cada una de ellas ofrece menor o mayor complejidad de operación y así mismo baja o alta capacidad de detección. El= uso de cada una de ellas depende de la cantidad de información disponible, referente a las señales primarias que se encuentran en el aire.<= /span>

 <= /span>

      =             &nb= sp;            =             &nb= sp;            =             &nb= sp;            =             &nb= sp;            =          III. RADIO COGNITIVA EN E= L MUNDO=

Con mo= tivo de buscar eficiencia en el uso del espectro, alrededor del planeta se han desarrollado varias propuestas de arquitectura radio cognitiva. Por ejemplo, CR1 desarrollada por Joseph Mitola, se b= asa en la utilización de un lenguaje de representación del conocimiento de radio p= ara establecer las adaptaciones de la radio RKRL (Radio Kn= owledge Representation Language). Este lenguaje simboliza la noción de radio de un conjunto de lenguajes naturales y modelos basados en computador [6].

Así mismo, xG es un concepto de Sistema y Tecnología desarrollada por el DoD (Departamento de Defensa de los Estados Unidos) p= ara el acceso dinámico a todos los recursos de frecuencia. Las redes Ad–Hoc y su crecimiento despiadado, con topologías dinámicas y cada vez más complejas, estimuló la necesidad de instituir nuevas alternativas de acceso al espectr= o. Por lo tanto, la tecnología XG se muestra conveniente para la implementació= n de arquitecturas de red centralizadas o no, mostrando flexibilidad con respect= o al límite de interferencia deseado. Es importante resaltar el estándar IEEE= 802.22, como el primero basado en tecnología de radio cognitiva, conocido como WRAN (Wireless Regional Área Networks). El objetivo preponderante es el acceso al ancho de banda en áreas rurales o remotas con un alto rendimiento, incluso comparable con tecnologías de acceso a banda ancha existentes en la actualidad [8] y [9].

Finalmente, distintos sistemas basado= s en redes de radio cognitiva han aparecido como alternativas de mejora en el aprovechamiento del espectro y su explotación. Adapt4, CORTEKS, Spectrum pooling, Corvus, Kuar, SPARTA, KNO= WS, OCRA, entre otros, son parte de un grupo de tecnologías propietarias fundamentadas en la CR. Su desarrollo aún es limitado.

 

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Las re= des de sensores inalámbricos cognitivos tienen como objeto funcionar dentro de espacios frecuenciales que mantienen o no usuarios primarios activos, y de = esta forma apoyan a la compartición de espectro de usuarios inalámbricos, con licencia y sin licencia, dentro de una misma área geográfica. Como es de esperarse, los mayores retos radican en la no interferencia de los usuarios primarios que usan su red, y además en brindar una fina distribución de tie= mpo y frecuencia a los usuarios secundarios.  

Existen algunos proyectos que se han dedicado a manejar este concepto innovador y original. SENDORA, por ejemplo, consiste en desarrollar un “Sensor de Redes apoyado en una Radio Cognitiva”, que ayudará a resolver este problema graci= as a la introducción de redes de sensores y capacidades de redes asociadas. El proyecto WISERNETS (Radio cognitiva de Software) tiene como objetivo princi= pal describir los límites fundamentales y el diseño de nuevos algoritmos, para = la detección del espectro distribuido en WSN radio asistida cognitiva, lo que = le permite tomar decisiones dependiendo de dónde están los claros espectrales o viceversa.

Todos = estos proyectos, y algunos otros basados en RC, pero no pensados para el control = de dispositivos en un Smart Campus, mantienen un punto de vista técnico, donde= se proponen técnicas innovadoras en detección de espectros y de actuación para identificar claros espectrales, considerando la coexistencia de radios cognitivas con tecnología primaria autorizada, sin forjar interferencias dañinas. Finalmente, el diseño, la dimensión y la conexión de las redes inalámbricas de sensores están tratados a fondo.

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ECUADOR PAR= A SMART CAMPUS. UNA REVISIÓN

La aceptación e incorporación de nuevas y variadas tecnologías= de telecomunicaciones en nuestro país se han desarrollado de manera progresiva= y perseverante, y las redes de fibra óptica y telefonía celular como los principales nichos de proyección de las comunicaciones del país. Otras aplicaciones tecnológicas que ofrecen servicios de telecomunicaciones son l= os sistemas inalámbricos de banda ancha WI-FI y CDMA 450, que por ejemplo son usadas para servir múltiples usuarios con voz y datos dando mayor énfasis en sitios remotos o rurales.  <= /p>

Por ot= ra parte, las tecnologías para enlaces inalámbricos basadas en Radio Cognitiva en fas= e de explotación no aparecen, encontrándose únicamente en etapas de estudio o investigación. Con= la intención de ejecutar una búsqueda minuciosa se consulta los repositorios bibliotecarios de los principales centros de educación e investigación supe= rior del Ecuador, los mismos que se encuentran en la capacidad de aportar con investigaciones que vinculen a la tecnología RC. Como se mencionó anteriormente,= la intención de este trabajo será evidenciar si el concepto de Radio Cognitiva= ha logrado ser usado en Redes de Sensores Inalámbricos Cognitivos, con el afán= de su aplicación en el control y gestión de infinidad de componentes en un Sma= rt Campus.

Un pri= mer análisis de los Sistemas de Radio Cognitiva en el Ecuador se desarrolló en = el año 2006 bajo el proyecto de titulación denominado “Análisis del Estándar IEEE 802.22 (Wireless Regional Área Network (WRAN)) y su posible implementa= ción en el Ecuador”; ahí se expresan los conceptos del sistema inicial WRAN y las exigencias funcionales como la base para la creación de ese estándar. A= lo largo del estudio se muestran los requerimientos obligatorios que hacen pos= ible que un sistema WRAN pueda actuar en un ambiente proveedor de servicios de Internet. Así mismo, se da un ejemplo de análisis sobre la implementación de una estación base WRAN en áreas rurales y remotas de la provincia de Loja, donde el acceso de tecnologías de banda ancha por cable es completamente limitado, y es donde se concluye que la elección de una tecnología inalámbr= ica es lo más factible [10].

Más adelante, en el año 2010 en la Escuela Politécnica Nacional (EPN)= se presenta un nuevo trabajo vinculado a los sistemas de Radio Cognitiva, denominado “Análisis de Factibilidad Para la Utilización de Cognitive Radio (Radio Cognitiva) en las Radiocomunic= aciones necesarias para casos de Emergencia en el Ecuador”; luego de una revisi= ón general de los sistemas de Radio Cognitiva, el autor efectúa un estudio de = los principales aspectos técnicos de SDR (Radio definido por Software) que reco= nocen la reconfigurabilidad de los parámetros de oper= ación de Radio Cognitiva, para consecutivamente constituir las capacidades y vent= ajas técnicas que involucran su utilización en las radiocomunicaciones utilizada= s en emergencias. Dicho estudio se complementa con el diseño de un sistema de radiocomunicaciones basado en RC y su distribución para servir en la ciudad= de Quito, de forma que incorpora de manera práctica el alcance y ventajas que ofrece esta tecnología [11].

Poster= iormente, se han ejecutado dos trabajos adicionales establecidos como factibilidades técnicas de implementación. El primero en el año 2014, denominado “Análi= sis de factibilidad técnica en la implementación de una red WRAN (IEEE 802.22) = en escuelas y colegios fiscales de sectores rurales y urbanos marginales de la Provincia del Guayas”, donde se detalla el diseño de una Red WRAN (Wireless Regional Área Network), establecida bajo el estándar IEEE 802.22 y que, de acuerdo con los resultados obtenidos, en caso de llevarse a cabo, permitiría proporcionar a escuelas y colegios fiscales de sectores marginales de la Provincia del Guayas servicios de telecomunicacio= nes [13]; y el segundo que explica una solución tecnológica basada en WR= AN - 802.22 para la automatización de un sistema de lectura remota de los medido= res de energía eléctrica,  denominado <= i>“Factibilidad técnica de implementación de Smart Metering en = zonas rurales con Tecnologías de Radio Cognitiva en los espacios en blanco de televisión” [14].

Otro e= studio de relevancia se presenta dentro de la región norte de nuestro país y se encuentra expuesto en el documento “Sensing TVWS with open source technology in Ecuador”, el cual construye la caracterización de los espacios en blanco de la televisión (TVWS) como parámetro principal para concientizar sobre la existencia de espectro radio eléctrico subutilizado, el cual podría ser utilizado para solventar a travé= s de reúso espectral las necesidades de conectividad de zonas desfavorecidas [15= ].

Para e= l año 2015, en la Escuela Superior Politécnica del Litoral (ESPOL) se presenta el trabajo “Sensado de Espectro de Banda Ancha Basado en Muestreo Sub-Nyqui= st para Radio Cognitivo”; el trabajo únicamente tiene como objetivo realiz= ar la identificación de las posibles oportunidades espectrales, basado en la implementación de la función de sensado de espectro de banda ancha, utiliza= ndo muestreo sub_nyquist para sistemas de radio cognitivo. En esta misma institución también se trabaja en el proyecto: = “Diseño de un Algoritmo de predicción de canales disponibles en el rango de frecuen= cia asignada a televisión basado en Markov, para lo= grar acceso dinámico al espectro en ambientes indoor= en zonas Urbanas”, que se enfoca en el diseño de un algoritmo para n canal= es conjuntos en la banda de televisión, que permite el análisis predictivo de disponibilidad en canales conjuntos, con la finalidad de asistir en el uso = óptimo de sistemas de acceso oportunistas al espectro, los cuales son de gran util= idad para solventar la problemática que se ha presentado en los últimos años en cuanto a la saturación del espectro radioeléctrico.

En = el artículo“Análisis del método matemático de detección = SVD en cognitive radio” se estudia el desempeño del mét= odo de descomposición en valores singulares (SVD), aplicado a la detección de usua= rios en una red móvil cognitiva.

 En este otro artículo “Estado del Arte, Radio Cognitiva para Operador de Red Virtual en la Infraestructura de Medición Avanzada”, realizado por Marcelo Camacho V= era y Esteban Inga Ortega, también involucra a RC en su investigación; este tra= bajo se fundamenta en el uso de tecnologías de telecomunicaciones RC como un apo= rte para fortalecer y mejorar los sistemas eléctricos de medición avanzada (AMI= ) o Smart Grid, que se encarga de la medición intel= igente de energía eléctrica. El objetivo es valerse de un operador móvil de red virtual para reducir los costos por arrendamiento del espectro de frecuencia primario [16].

Nuevamente en la EPN, se realiza= un nuevo estudio denominado: “Metodología para la localización de TV White Spaces en zonas rurales del Distrito Metropolitano de Quito mediante el uso= del software de planificación de red ICS Designer”<= /i>; este trabajo se efectúa en el año 2017 e implementa una metodología para representar la ubicación de los espacios en blanco de televisión (TV White Spaces) en áreas rurales del DMQ (Distrito Metropolitano de Quito), mediant= e el uso de una herramienta de planificación de radiofrecuencias. Para el 2018, = se trabaja en una investigación que ejecuta una simulación de los algoritmos m= ás utilizados (detección de energía, detección de características ciclo estacionarias de la señal y detección basada en la transformada Wavelet), c= on el fin de conocer cuál de ellos ofrece mejor desempeño en términos de preci= sión de detección y utilización de recursos; se titula: “Análisis y simulació= n de algoritmos para detección de espectro en radio cognitiva”.

El artículo “Consideraciones para el despliegue de redes basadas en Radio Cognit= iva: Ocupación y Regulación del Espectro”, = publicado en el me= s de octubre del año 2019, presenta= los fundamentos de RC, sus beneficios y desafíos, información sobre los estánda= res existentes de los sistemas de CR, así como algunos ejemplos de implementaci= ón de estos sistemas, que sugieren que el marco regulatorio y jurídico puede facilitar o dificultar las experiencias y avances en este campo [19].

Finalmente, aunque el listado de estudios en el Ecuador sobre la tecnología de Radio Cognitiva no es extenso= , no se han expuesto la totalidad de las investigaciones o trabajos, ya que todos están referidos o coinciden en acciones de estudio similares: ocupación de espectro, simulaciones de sensado, acceso al medio inalámbrico, optimizació= n de radiofrecuencias, diseño de algoritmos, etc.

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Es evidente que los sistemas de Radio Cognitiva en nuestro país no han logrado tomar un protagonismo significativo, el mismo que sea aplicable en diferentes aspectos donde las telecomunicaciones basadas en los lineamientos de RC representen un aporte = en muchos de los sectores sociales, productivos y académicos del Ecuador. Ya el ingeniero Danilo Corral, en el año 2011, propone la idea de crear e identif= icar una red piloto con 802.22, donde se sugiere hermanar instituciones participantes locales o externas; crear una estructura organizacional jerárquica; conseguir permisos por parte del ente regulador; efectuar prueb= as en las diferentes regiones del país para observar el comportamiento del estánd= ar 802.22; y, finalmente menciona construir un documento técnico que recoja los datos arrojados en las evaluaciones para la posterior discusión de  los resultados [17]. Pese a las iniciat= ivas, todo este vasto trabajo no ha llegado a consolidarse y, por tanto, el perfeccionamiento de las tecnologías de Radio Cognitiva en el Ecuador se mantiene como un tema abierto para su desarrollo.

Así mismo, se evidencia que, has= ta el cierre de esta revisión de literatura, aún no se han generado temas de investigación o estudio que pretendan desarrollar redes de sensores inalámbricos cognitivos en el Ecuador. Pese a que en otros países ya se han creado algunos trabajos al respecto, queda latente la oportunidad pionera p= ara contribuir con el despliegue de este tipo de sistemas y, mejor aún, consolidarlas dentro de aplicaciones IoT en un = Smart Campus, como es la intención de la Universidad Nacional de Loja y su proyec= to Smart UNL.

 

REFERENCIAS

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Revisión al Desarrollo de la Tecnología de Radio Cognitiva en Bandas VHF – UHF e= n el Ecuador

2

 

Escuela Poli= técnica del Litoral, ESPOL

 

Revista Tecn= ológica Espol – RTE Vol. 32, N° 1 (2020)

 

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