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Descripción
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| Algorithms used in the optimization of wireless deployments have computational time as one of their main drawbacks. This computational time is very dependent on the test points established to characterize a deployment scenario. The approach commonly used to define sample points is based on a regular grid, which leads to a remarkable number of sample points if accuracy is required. In this paper, a novel scenario-dependent sampling scheme based on mathematical morphology is presented. Its performance is evaluated and compared to regular sampling, outperforming typical schemes reducing computational time while maintaining very accurate results. | |
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Internacional
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Si |
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JCR del ISI
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Si |
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Título de la revista
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IEEE COMMUNICATIONS LETTERS |
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ISSN
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1089-7798 |
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Factor de impacto JCR
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1,14 |
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Información de impacto
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Volumen
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14 |
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DOI
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Número de revista
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7 |
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Desde la página
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635 |
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Hasta la página
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637 |
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Mes
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JULIO |
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Ranking
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