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Abstract
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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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International
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Si |
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JCR
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Si |
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Title
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IEEE COMMUNICATIONS LETTERS |
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ISBN
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1089-7798 |
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Impact factor JCR
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1,14 |
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Impact info
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Volume
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14 |
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Journal number
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7 |
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From page
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635 |
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To page
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637 |
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Month
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JULIO |
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Ranking
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