20 research outputs found

    Coverage optimization and power reduction in SFN using simulated annealing

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    An approach that predicts the propagation, models the terrestrial receivers and optimizes the performance of single frequency networks (SFN) for digital video broadcasting in terms of the final coverage achieved over any geographical region, enhancing the most populated areas, is proposed in this paper. The effective coverage improvement and thus, the self-interference reduction in the SFN is accomplished by optimizing the internal static delays, sector antenna gain, and both azimuth and elevation orientation for every transmitter within the network using the heuristic simulated annealing (SA) algorithm. Decimation and elevation filtering techniques have been considered and applied to reduce the computational cost of the SA-based approach, including results that demonstrate the improvements achieved. Further representative results for two SFN in different scenarios considering the effect on the final coverage of optimizing any of the transmitter parameters previously outlined or a combination of some of them are reported and discussed in order to show both, the performance of the method and how increasing gradually the complexity of the model for the transmitters leads to more realistic and accurate results.This work was supported by the Spanish Ministry of Science and Innovation under Projects TEC2008-02730 and TEC2012-33321. The work of M. Lanza and Á. L. Gutiérrez was supported by a Pre-Doctoral Grant from the University of Cantabria

    Design of a DVB-T2 simulation platform and network optimization with Simulated Annealing

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    The implementation of the Digital Terrestrial Television is becoming a reality in the Spanish territory. In this context, with the satellite and cable systems, this technology is one of the possible mediums for the television signal transmission. Its development is becoming crucial for the digital transition in those countries which mainly depend on the terrestrial networks for the reception of multimedia contents. However, due to the maturity of the current standard, and also to the higher requirements of the customer needing (HDTV, new contents, etc.), a revision of the current standard becomes necessary. The DVB organisation in collaboration with other entities and organisms has developed a new standard version capable to satisfy those requirements. The main objective of the project is the design and implementation of a physical layer simulation platform for the DVB-T2 standard. This simulator allows the theoretical evaluation of the new enhanced proposals, making easier a later field measurement stage and the future network deployment. The document describes the implementation of the simulation platform as well as its subsequent validation stage, including large graphical results that allow the evaluation and quantification of the improvements introduced over the current standard version (DVB-T). On the other hand, and as future investigation lines, a solution for the future DVB-T2 network deployment is performed, enhancing the coverage capacity of the current network by the use of iterative meta-heuristic techniques. Finally it has to be mentioned that this work has been performed within the context of a project called FURIA, which is a strategic research project funded by the Spanish Ministry of Industry, Tourism and Commerce

    Design of a DVB-T2 simulation platform and network optimization with Simulated Annealing

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    The implementation of the Digital Terrestrial Television is becoming a reality in the Spanish territory. In this context, with the satellite and cable systems, this technology is one of the possible mediums for the television signal transmission. Its development is becoming crucial for the digital transition in those countries which mainly depend on the terrestrial networks for the reception of multimedia contents. However, due to the maturity of the current standard, and also to the higher requirements of the customer needing (HDTV, new contents, etc.), a revision of the current standard becomes necessary. The DVB organisation in collaboration with other entities and organisms has developed a new standard version capable to satisfy those requirements. The main objective of the project is the design and implementation of a physical layer simulation platform for the DVB-T2 standard. This simulator allows the theoretical evaluation of the new enhanced proposals, making easier a later field measurement stage and the future network deployment. The document describes the implementation of the simulation platform as well as its subsequent validation stage, including large graphical results that allow the evaluation and quantification of the improvements introduced over the current standard version (DVB-T). On the other hand, and as future investigation lines, a solution for the future DVB-T2 network deployment is performed, enhancing the coverage capacity of the current network by the use of iterative meta-heuristic techniques. Finally it has to be mentioned that this work has been performed within the context of a project called FURIA, which is a strategic research project funded by the Spanish Ministry of Industry, Tourism and Commerce

    From MFN to SFN: Performance Prediction Through Machine Learning

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    In the last decade, the transition of digital terrestrial television (DTT) systems from multi-frequency networks (MFNs) to single-frequency networks (SFNs) has become a reality. SFN offers multiple advantages concerning MFN, such as more efficient management of the radioelectric spectrum, homogenizing the network parameters, and a potential SFN gain. However, the transition process can be cumbersome for operators due to the multiple measurement campaigns and required finetuning of the final SFN system to ensure the desired quality of service. To avoid time-consuming field measurements and reduce the costs associated with the SFN implementation, this paper aims to predict the performance of an SFN system from the legacy MFN and position data through machine learning (ML) algorithms. It is proposed a ML concatenated structure based on classification and regression to predict SFN electric-field strength, modulation error ratio, and gain. The model's training and test process are performed with a dataset from an SFN/MFN trial in Ghent, Belgium. Multiple algorithms have been tuned and compared to extract the data patterns and select the most accurate algorithms. The best performance to predict the SFN electric-field strength is obtained with a coefficient of determination (R2) of 0.93, modulation error ratio of 0.98, and SFN gain of 0.89 starting from MFN parameters and position data. The proposed method allows classifying the data points according to positive or negative SFN gain with an accuracy of 0.97

    Fast Memory-Based Processing in Software-Defined Radios

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    Negli ultimi anni le Software Defined Radio sono state un argomento di ricerca di primo piano nell'ambito dei sistemi di trasmissione radio. Molti e variegati paradigmi implementativi sono stati concepiti e proposti, con soluzioni capaci di spaziare da sistemi basati su Field Programmable Gate Array (FPGA) a implementazioni ottenute mediante un singolo General Purpose Processor (GPP) passando per dispositivi caratterizzati dalla presenza computazionalmente preponderante di un Digital Signal Processor (DSP) o da architetture miste. Tali soluzioni rappresentano punti di equilibrio diversi dell'inevitabile compromesso tra flessibilità e capacità computazionale del sistema di trasmissione implementato, comprimendo in qualche modo l'aspirazione ad un sistema radio universale propria del concetto originario dell'SDR. A questo riguardo, le soluzioni SDR basate su GPP rappresentano il modello implementativo maggiormente desiderabile in quanto costituiscono l'alternativa più flessibile ed economica tra tutte le tipologie di SDR. Ciò nonostante, la scarsa capacità computazionale ha sempre limitato l'adozione di questi sistemi in scenari produttivi di vasta scala. Se convenientemente applicati entro il contesto di sviluppo SDR, concetti classici noti in informatica sotto la denominazione collettiva di space/time trade-off possono essere di enorme aiuto quando si cerchi di mitigare un simile problema. Traendo ispirazione da detti concetti, nonché estendendoli ed applicandoli all'abito dell'SDR, questa tesi sviluppa e presenta una tecnica di programmazione specifica per software radio chiamata Memory Acceleration (MA) che, mediante un uso estensivo delle risorse di memoria disponibili a bordo di un tipico sistema di calcolo general purpose, può fornire alle SDR convenzionali basate su GPP fattori di accelerazione sostanziali (circa un ordine di grandezza) senza ridurne la peculiare flessibilità. Alcune rilevanti implementazioni di sistemi SDR capaci di lavorare in tempo reale su processori GPP consumer-grade realizzate in tecnica MA sono descritte in dettaglio entro questo lavoro di tesi e fornite come prova della reale efficacia del concetto proposto

    Implementação de um transceiver para comunicações móveis oportunistas na banda de TV

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    Dissertação de Mestrado em Comunicações Móveis apresentada à Escola Superior de Tecnologia do Instituto Politécnico de Castelo Branco.This document describes the work developed to implement a prototype able to operate in TVWS.Gives an overview about the digital switchover roadmap in Europe and surveys the trends in the TVWS market for different European countries. Describe the prototype specifications, also an overview about the TVWS prototype state of art. Describes the sensing techniques for PMSE detecting used in the prototype and the thresholds calculations.The metrics to evaluate the algorithms selected are presents. Also, describes the SDR systems, the chosen hardware, USRP and the features and limits, daughterboard selected. A resume about the software platform is present and the features that make this platform, Labview, the choice for integrating in the prototype Describes the development and implementation of the prototype and also include the test scenario conditions and results

    Advanced constellation and demapper schemes for next generation digital terrestrial television broadcasting systems

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    206 p.Esta tesis presenta un nuevo tipo de constelaciones llamadas no uniformes. Estos esquemas presentan una eficacia de hasta 1,8 dB superior a las utilizadas en los últimos sistemas de comunicaciones de televisión digital terrestre y son extrapolables a cualquier otro sistema de comunicaciones (satélite, móvil, cable¿). Además, este trabajo contribuye al diseño de constelaciones con una nueva metodología que reduce el tiempo de optimización de días/horas (metodologías actuales) a horas/minutos con la misma eficiencia. Todas las constelaciones diseñadas se testean bajo una plataforma creada en esta tesis que simula el estándar de radiodifusión terrestre más avanzado hasta la fecha (ATSC 3.0) bajo condiciones reales de funcionamiento.Por otro lado, para disminuir la latencia de decodificación de estas constelaciones esta tesis propone dos técnicas de detección/demapeo. Una es para constelaciones no uniformes de dos dimensiones la cual disminuye hasta en un 99,7% la complejidad del demapeo sin empeorar el funcionamiento del sistema. La segunda técnica de detección se centra en las constelaciones no uniformes de una dimensión y presenta hasta un 87,5% de reducción de la complejidad del receptor sin pérdidas en el rendimiento.Por último, este trabajo expone un completo estado del arte sobre tipos de constelaciones, modelos de sistema, y diseño/demapeo de constelaciones. Este estudio es el primero realizado en este campo
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