Coverage optimization and power reduction in SFN using simulated annealing

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 pa...

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Autores: Lanza Diego, Marta, Gutiérrez López, Ángel Luis, Perez López, Jesús Ramón, Morgade Prieto, Javier, Domingo Gracia, Marta|||0000-0003-1994-0572, Valle López, Luis|||0000-0001-7241-7807, Angueira Buceta, Pablo, Basterrechea Verdeja, José|||0000-0003-2475-0618
Formato: artículo
Fecha de publicación:2014
País:España
Recursos:Universidad de Cantabria (UC)
Repositorio:UCrea Repositorio Abierto de la Universidad de Cantabria
Idioma:inglés
OAI Identifier:oai:repositorio.unican.es:10902/9973
Acesso em linha:http://hdl.handle.net/10902/9973
Access Level:acceso abierto
Palavra-chave:DVB systems
Propagation prediction
Simulated annealing
Single frequency network optimization
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spelling Coverage optimization and power reduction in SFN using simulated annealingLanza Diego, MartaGutiérrez López, Ángel LuisPerez López, Jesús RamónMorgade Prieto, JavierDomingo Gracia, Marta|||0000-0003-1994-0572Valle López, Luis|||0000-0001-7241-7807Angueira Buceta, PabloBasterrechea Verdeja, José|||0000-0003-2475-0618DVB systemsPropagation predictionSimulated annealingSingle frequency network optimizationAn 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.Institute of Electrical and Electronics Engineers Inc.Universidad de Cantabria20142014-09-01journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articlehttp://hdl.handle.net/10902/9973IEEE Transactions on Broadcasting, 2014, 60(3), 474-485reponame:UCrea Repositorio Abierto de la Universidad de Cantabriainstname:Universidad de Cantabria (UC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:repositorio.unican.es:10902/99732026-06-02T12:39:31Z
dc.title.none.fl_str_mv Coverage optimization and power reduction in SFN using simulated annealing
title Coverage optimization and power reduction in SFN using simulated annealing
spellingShingle Coverage optimization and power reduction in SFN using simulated annealing
Lanza Diego, Marta
DVB systems
Propagation prediction
Simulated annealing
Single frequency network optimization
title_short Coverage optimization and power reduction in SFN using simulated annealing
title_full Coverage optimization and power reduction in SFN using simulated annealing
title_fullStr Coverage optimization and power reduction in SFN using simulated annealing
title_full_unstemmed Coverage optimization and power reduction in SFN using simulated annealing
title_sort Coverage optimization and power reduction in SFN using simulated annealing
dc.creator.none.fl_str_mv Lanza Diego, Marta
Gutiérrez López, Ángel Luis
Perez López, Jesús Ramón
Morgade Prieto, Javier
Domingo Gracia, Marta|||0000-0003-1994-0572
Valle López, Luis|||0000-0001-7241-7807
Angueira Buceta, Pablo
Basterrechea Verdeja, José|||0000-0003-2475-0618
author Lanza Diego, Marta
author_facet Lanza Diego, Marta
Gutiérrez López, Ángel Luis
Perez López, Jesús Ramón
Morgade Prieto, Javier
Domingo Gracia, Marta|||0000-0003-1994-0572
Valle López, Luis|||0000-0001-7241-7807
Angueira Buceta, Pablo
Basterrechea Verdeja, José|||0000-0003-2475-0618
author_role author
author2 Gutiérrez López, Ángel Luis
Perez López, Jesús Ramón
Morgade Prieto, Javier
Domingo Gracia, Marta|||0000-0003-1994-0572
Valle López, Luis|||0000-0001-7241-7807
Angueira Buceta, Pablo
Basterrechea Verdeja, José|||0000-0003-2475-0618
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidad de Cantabria
dc.subject.none.fl_str_mv DVB systems
Propagation prediction
Simulated annealing
Single frequency network optimization
topic DVB systems
Propagation prediction
Simulated annealing
Single frequency network optimization
description 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.
publishDate 2014
dc.date.none.fl_str_mv 2014
2014-09-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10902/9973
url http://hdl.handle.net/10902/9973
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers Inc.
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers Inc.
dc.source.none.fl_str_mv IEEE Transactions on Broadcasting, 2014, 60(3), 474-485
reponame:UCrea Repositorio Abierto de la Universidad de Cantabria
instname:Universidad de Cantabria (UC)
instname_str Universidad de Cantabria (UC)
reponame_str UCrea Repositorio Abierto de la Universidad de Cantabria
collection UCrea Repositorio Abierto de la Universidad de Cantabria
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301603

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