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Coverage optimization and power reduction in SFN using simulated annealing

Abstract: 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.

Other publications of the same journal or congress with authors from the University of Cantabria

 Authorship: Lanza M., Gutierrez A., Perez J., Morgade J., Domingo M., Valle L., Angueira P., Basterrechea J.,

 Fuente: IEEE Transactions on Broadcasting, 2014, Vol. 60, No. 3, 474 - 485

Publisher: Institute of Electrical and Electronics Engineers Inc.

 Publication date: 01/09/2014

No. of pages: 12

Publication type: Article

 DOI: 10.1109/TBC.2014.2333131

ISSN: 0018-9316,1557-9611

 Spanish project: TEC2008-02730 ; TEC2012-33321

Publication Url: https://doi.org/10.1109/TBC.2014.2333131

Authorship

MARTA LANZA DIEGO

ANGEL LUIS GUTIERREZ LOPEZ

MORGADE PRIETO, JAVIER

ANGUEIRA BUCETA, PABLO