[pt] A tecnologia de rádios cognitivos está surgindo como uma eficaz alternativa para aumentar o número de usuários de serviços de dados em banda larga em diversas faixas de frequências. O conceito pretende resolver a escassez do espectro a partir de duas características básicas: a capacidade cognitiva e a capacidade de reconfiguração. A capacidade cognitiva refere-se à habilidade do rádio de conhecer o meio no qual pretende operar, identificar de forma oportunista os espaços espectrais não utilizados na sua totalidade ou em alguns intervalos de tempo e, a partir da sua reconfiguração transmitir informação sem provocar interferência no usuário principal da porção do espectro utilizado. Esta dissertação de mestrado apresenta os resultados obtidos da análise do desempenho de regras de fusão para sensoriamento remoto cooperativo. Na primeira parte são abordados os fundamentos teóricos de Rádio cognitivo e os aspectos mais importantes do gerenciamento do espectro radioelétrico, além dos fundamentos do detector de energia, detector mais simples de implementar e utilizar para o sensoriamento em redes cognitivas. A seguir são abordadas diferentes técnicas para sensoriamento em redes cognitivas, apresentando os esquemas de decisão e a detecção convencional do espectro cooperativo, os métodos Hard decision e Soft decision. Finalmente uma avaliação das regras de sensoriamento cooperativo em cenários reais é realizada para obter as conclusões do trabalho. / [en] Cognitive radio technology is emerging as an effective alternative to increase the number of users in several frequency bands. The concept aims to solve the scarcity of the spectrum from two basic characteristics: the cognitive capacity and the capacity of reconfiguration. Cognitive ability refers to the ability of the radio to know the medium in which it is operating, to identify in an opportunistic way the unused spectral spaces in their totality or in some intervals of time and, from its reconfiguration transmit information without causing interference in the user of the portion of the spectrum used. This dissertation presents the results obtained from the analysis of the performance of fusion rules for cooperative remote sensing. The first part deals with the theoretical foundations of cognitive radio and the most important aspects of radioelectric spectrum management, as well as the fundamentals of the energy detector, the most important detector used in cognitive networks. Next, different techniques for sensing in cognitive networks are presented, presenting decision schemes and conventional detection of the cooperative spectrum, the Hard decision and Soft decision methods. Finally, an evaluation of the rules of cooperative sensing in real scenarios is carried out to obtain the conclusions of the work.

The Peruvian government has stablished mandatory payments that telecom companies have to make: the regulatory contribution, the tariff for radio spectrum and the fee for commercial exploitation.In this article, the authors examine what tax nature and what validity basis those impositions have. / El Estado peruano ha establecido pagos obligatorios que deben realizar las empresas operadoras de telecomunicaciones: el aporte por regulación pagado, el canon por el uso del espectro radioeléctrico y la tasa por explotación comercial. En el presente artículo, los autores examinan qué naturaleza tributaria y qué fundamento de validez tienen estas exacciones.

Made available in DSpace on 2014-12-17T14:56:19Z (GMT). No. of bitstreams: 1 ArthurDLL_DISSERT.pdf: 2517302 bytes, checksum: c3d693c770dc1c58bad5f378aba6d268 (MD5) Previous issue date: 2014-06-28 / The increasing demand for high performance wireless communication systems has shown the inefficiency of the current model of fixed allocation of the radio spectrum. In this context, cognitive radio appears as a more efficient alternative, by providing opportunistic spectrum access, with the maximum bandwidth possible. To ensure these requirements, it is necessary that the transmitter identify opportunities for transmission and the receiver recognizes the parameters defined for the communication signal. The techniques that use cyclostationary analysis can be applied to problems in either spectrum sensing and modulation classification, even in low signal-to-noise ratio (SNR) environments. However, despite the robustness, one of the main disadvantages of cyclostationarity is the high computational cost for calculating its functions. This work proposes efficient architectures for obtaining cyclostationary features to be employed in either spectrum sensing and automatic modulation classification (AMC). In the context of spectrum sensing, a parallelized algorithm for extracting cyclostationary features of communication signals is presented. The performance of this features extractor parallelization is evaluated by speedup and parallel eficiency metrics. The architecture for spectrum sensing is analyzed for several configuration of false alarm probability, SNR levels and observation time for BPSK and QPSK modulations. In the context of AMC, the reduced alpha-profile is proposed as as a cyclostationary signature calculated for a reduced cyclic frequencies set. This signature is validated by a modulation classification architecture based on pattern matching. The architecture for AMC is investigated for correct classification rates of AM, BPSK, QPSK, MSK and FSK modulations, considering several scenarios of observation length and SNR levels. The numerical results of performance obtained in this work show the eficiency of the proposed architectures / O aumento da demanda por sistemas de comunica??o sem fio de alto desempenho tem evidenciado a inefici?ncia do atual modelo de aloca??o fixa do espectro de r?dio. Nesse contexto, o r?dio cognitivo surge como uma alternativa mais eficiente, ao proporcionar o acesso oportunista ao espectro, com a maior largura de banda poss?vel. Para garantir esses requisitos, ? necess?rio que o transmissor identifique as oportunidades de transmiss?o e que o receptor reconhe?a os par?metros definidos para o sinal de comunica??o. As t?cnicas que utilizam a an?lise cicloestacion?ria podem ser aplicadas tanto em problemas de sensoriamento espectral, quanto na classifica??o de modula??es, mesmo em ambientes de baixa rela??o sinal-ru?do (SNR). Entretanto, apesar da robustez, uma das principais desvantagens da cicloestacionariedade est? no elevado custo computacional para o c?lculo das suas fun??es. Este trabalho prop?e arquiteturas eficientes de obten??o de caracter?sticas cicloestacion?rias para serem empregadas no sensoriamento espectral e na classifica??o autom?tica de modula??es (AMC). No contexto do sensoriamento espectral, um algoritmo paralelizado para extrair as caracter?sticas cicloestacion?rias de sinais de comunica??o ? apresentado. O desempenho da paraleliza??o desse extrator de caracter?sticas ? avaliado atrav?s das m?tricas de speedup e efici?ncia paralela. A arquitetura de sensoriamento espectral ? analisada para diversas configura??es de probabilidades de falso alarme, n?veis de SNR e tempo de observa??o das modula??es BPSK e QPSK. No contexto da AMC, o perfil-alfa reduzido ? proposto como uma assinatura cicloestacion?ria calculada para um conjunto reduzido de frequ?ncia c?clicas. Essa assinatura ? validada por meio de uma arquitetura de classifica??o baseada no casamento de padr?es. A arquitetura para AMC ? investigada para as taxas de acerto obtidas para as modula??es AM, BPSK, QPSK, MSK e FSK, considerando diversos cen?rios de tempo de observa??o e n?veis de SNR. Os resultados num?ricos de desempenho obtidos neste trabalho demonstram a efici?ncia das arquiteturas propostas

Cognitive Radio (CR) has received tremendous research attention over the past decade, both in the academia and industry, as it is envisioned as a promising solution to the problem of spectrum scarcity. ACR is a device that senses the spectrum for occupancy by licensed users(also called as primary users), and transmits its data only when the spectrum is sensed to be available. For the efficient utilization of the spectrum while also guaranteeing adequate protection to the licensed user from harmful interference, the CR should be able to sense the spectrum for primary occupancy quickly as well as accurately. This makes Spectrum Sensing(SS) one of the where the goal is to test whether the primary user is inactive(the null or noise-only hypothesis), or not (the alternate or signal-present hypothesis). Computational simplicity, robustness to uncertainties in the knowledge of various noise, signal, and fading parameters, and ability to handle interference or other source of non-Gaussian noise are some of the desirable features of a SS unit in a CR. In many practical applications, CR devices can exploit known structure in the primary signal. IntheIEEE802.22CR standard, the primary signal is a wideband signal, but with a strong narrowband pilot component. In other applications, such as military communications, and blue tooth, the primary signal uses a Frequency Hopping (FH)transmission. These applications can significantly benefit from detection schemes that are tailored for detecting the corresponding primary signals. This thesis develops novel detection schemes and rigorous performance analysis of these primary signals in the presence of fading. For example, in the case of wideband primary signals with a strong narrowband pilot, this thesis answers the further question of whether to use the entire wideband for signal detection, or whether to filter out the pilot signal and use narrowband signal detection. The question is interesting because the fading characteristics of wideband and narrowband signals are fundamentally different. Due to this, it is not obvious which detection scheme will perform better in practical fading environments. At another end of the gamut of SS algorithms, when the CR has no knowledge of the structure or statistics of the primary signal, and when the noise variance is known, Energy Detection (ED) is known to be optimal for SS. However, the performance of the ED is not robust to uncertainties in the noise statistics or under different possible primary signal models. In this case, a natural way to pose the SS problem is as a Goodness-of-Fit Test (GoFT), where the idea is to either accept or reject the noise-only hypothesis. This thesis designs and studies the performance of GoFTs when the noise statistics can even be non-Gaussian, and with heavy tails. Also, the techniques are extended to the cooperative SS scenario where multiple CR nodes record observations using multiple antennas and perform decentralized detection. In this thesis, we study all the issues listed above by considering both single and multiple CR nodes, and evaluating their performance in terms of(a)probability of detection error,(b) sensing-throughput trade off, and(c)probability of rejecting the null-hypothesis. We propose various SS strategies, compare their performance against existing techniques, and discuss their relative advantages and performance tradeoffs. The main contributions of this thesis are as follows: The question of whether to use pilot-based narrowband sensing or wideband sensing is answered using a novel, analytically tractable metric proposed in this thesis called the error exponent with a confidence level. Under a Bayesian framework, obtaining closed form expressions for the optimal detection threshold is difficult. Near-optimal detection thresholds are obtained for most of the commonly encountered fading models. Foran FH primary, using the Fast Fourier Transform (FFT) Averaging Ratio(FAR) algorithm, the sensing-through put trade off are derived in closed form. A GoFT technique based on the statistics of the number of zero-crossings in the observations is proposed, which is robust to uncertainties in the noise statistics, and outperforms existing GoFT-based SS techniques. A multi-dimensional GoFT based on stochastic distances is studied, which pro¬vides better performance compared to some of the existing techniques. A special case, i.e., a test based on the Kullback-Leibler distance is shown to be robust to some uncertainties in the noise process. All of the theoretical results are validated using Monte Carlo simulations. In the case of FH-SS, an implementation of SS using the FAR algorithm on a commercially off-the ¬shelf platform is presented, and the performance recorded using the hardware is shown to corroborate well with the theoretical and simulation-based results. The results in this thesis thus provide a bouquet of SS algorithms that could be useful under different CRSS scenarios.

L'objecte d'estudi d'aquesta tesi es centra en la política europea de l'espectre radioelèctric i presta especial atenció a l'harmonització del dividend digital al Regne Unit i Espanya. La metodologia es basa en una revisió bibliogràfica i hemerogràfica completada amb un conjunt d'entrevistes amb representants de diferents organismes de regulació del Regne Unit i Espanya, i de la mateixa Comissió Europea. En la primera part de la tesi es realitza una aproximació conceptual, des d'una vessant tècnica i jurídica, a la xarxa radioelèctrica i al dividend digital, espai alliberat una vegada completada la transició a la TDT. Seguidament, s'aborda la naturalesa, àmbits de regulació de la xarxa radioelèctrica, actors, models i evolució de les formes de gestió. El tercer capítol es centra en la Unió Europea com actor de la política de l'espectre radioelèctric des de mitjans de la dècada dels 80 fins a l'actualitat. En la darrera part de la tesi es descriuen i analitzen les actuacions de la UE destinades a harmonitzar el dividend digital fent especial referència a les conseqüències d'aquesta harmonització sobre les estructures nacionals i la planificació de la TDT en els dos països estudiats, el Regne Unit i Espanya. / El objeto de estudio de esta tesis se centra en la política europea del espectro radioeléctrico y presta una especial atención a la armonización del dividendo digital en el Reino Unido y España. La metodología está basada en una revisión bibliográfica y hemerográfica completada con un conjunto de entrevistas con representantes de diferentes organismos de regulación del Reino Unido y España, y de la misma Comisión Europea. En la primera parte de la tesis se realiza una aproximación conceptual, desde una vertiente técnica y jurídica, a la red radioeléctrica y al dividendo digital, espacio liberado una vez se ha completado la transición a la TDT. Seguidamente, se aborda la naturaleza y ámbitos de la regulación de la red radioeléctrica, sus actores, modelos y evolución de sus formas de gestión. El tercer capítulo se centra en la Unión Europea como actor de la política del espectro radioeléctrico desde mediados de la década de los 80 hasta la actualidad. En la última parte de la tesis se describen y analizan las actuaciones de la UE destinadas a armonizar el dividendo digital y se atiende especialmente a las consecuencias que esta armonización tiene sobre las estructuras nacionales y la planificación de la TDT en los dos países estudiados, el Reino Unido y España. / The object of study of this thesis focuses on the European radio spectrum policy in particular the harmonization of the digital dividend in the United Kingdom and Spain. The methodology is based on a multidisciplinary bibliographic review completed with an in-depth interviews with policy-makers from the national regulatory authorities and the European Commission. The first chapter of the dissertation consists of a conceptual approach of radio spectrum network and the digital dividend, the amount space released once the switch-over is completed. Afterwards, it deals with the nature of spectrum regulation, its actors, models and evolution of spectrum management. Its third chapter focuses on the European Union as a spectrum policy actor from the 80's onwards. Finally, this thesis analyses the EU actions oriented to the harmonisation of the digital dividend, and pays special attention to its consequences on national structures and DTT plans of the United Kingdom and Spain.

Made available in DSpace on 2016-03-15T19:35:52Z (GMT). No. of bitstreams: 1 DENIS PAVEL CABEZAS HUAMAN.pdf: 1718725 bytes, checksum: b98f52c6b4dac9b37a33cc5bc62d871e (MD5) Previous issue date: 2015-03-26 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / The project aims to study the disturbances (responses) of the low solar atmosphere caused by solar flares, using Hα, 30 THz (10 μm), UV/EUV, soft and hard X-rays observations, and a wide range of radio waves emissions (microwaves, millimeter, sub-millimeter). This set of multispectral data enabled us to (i) examine in detail various aspects of the phenomena, (ii) determine the origin of the radio emission during the gradual phase, and therefore (iii) understand the mechanism of the particles acceleration. The data we used for the completion of this study are based on Hα and 30 THz (10 μm) observations, made by the high cadence flare imaging system installed at OSM4 and CASLEO5 observatories, additionally data from HASTA (H-Alpha Solar Telescope for Argentina) telescope installed at OAFA6 observatory. In the sub-millimeter and millimeter domain at 212, 405 GHz and 45, 90 GHz, were from SST (Solar Sub-millimeter Telescope) and from POEMAS (POlarization Emission of Millimeter Activity at the Sun) solar radio telescopes, respectively. Complementary radio observations in the microwave range (0.2-15 GHz) from RSTN (Radio Solar Telescope Network) were considered. In addition, solar observations obtained by RHESSI (Reuven Ramaty High Energy Solar Spectroscopic Imager), Fermi and GOES (Geostationary Operational Environmental Satellite) satellites in X-ray channels, and from AIA (Atmospheric Imaging Assembly) and HMI (Helioseismic and Magnetic Imager) instruments, onboard the SDO (Solar Dynamics Observatory) satellite, respectively. / O trabalho tem como objetivo estudar as perturbações da baixa atmosfera solar produzidas pelas explosões solares, usando observações em Hα, 30 THz (10 μm), UV/EUV, raios X e uma ampla faixa de emissões em ondas de rádio (microondas, milimétrica, submilimétrica); com o propósito de determinar a natureza dos processos físicos envolvidos. Este conjunto de dados multiespectrais nos permitiu (i) analisar os diferentes aspectos das explosões tanto na fase impulsiva como gradual, (ii) determinar a origem da emissão em rádio durante a fase gradual, e consequentemente (iii) entender melhor os mecanismos de aceleração das partículas. Os dados em Hα e 30 THz foram fornecidos pelo sistema de aquisição de dados com alta resolução temporal, instalado nos observatórios OSM1 e CASLEO2, adicionalmente dados do telescópio HASTA (H-Alpha Solar Telescope for Argentina) instalado no observatório OAFA3. Enquanto as observações em rádio, os dados foram do rádio polarímetro POEMAS (POlarization Emission of Millimeter Activity at the Sun) nas frequências de 45 e 90 GHz, do telescópio SST (Sub-millimeter Solar Telescope) nas frequências 212 e 405 GHz, ambos instalados no CASLEO. Dados na faixa de microondas (0,2-15 GHz) obtidos pela rede RSTN (Radio Solar Telescope Network). Além disso, foram considerados observações do Sol obtidas pelos satélites RHESSI (Reuven Ramaty High Energy Solar Spectroscopic Imager), Fermi e GOES (Geostationary Operational Environmental Satellite) para raios X, e dos instrumentos AIA (Atmospheric Imaging Assembly), HMI (Helioseismic and Magnetic Imager), a bordo do satélite SDO (Solar Dynamics Observatory), respectivamente.