Morphological Sampling Scheme for Analysis and Optimization of Wireless Indoor Environments

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...

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Bibliographic Details
Published in:IEEE communications letters 2010-07, Vol.14 (7), p.635-637
Main Authors: Molina-Garcia, M, Fernandez-Duran, A, Alonso, J I
Format: Article
Language:English
Subjects:
Accuracy
Algorithm design and analysis
Algorithms
Applied sciences
Computation
Computation time
Exact sciences and technology
Image sampling
Indoor environments
Indoor radio communication
indoor radio communications
Information, signal and communications theory
Mathematical morphology
Morphological operations
Morphology
Optimization
Performance evaluation
Sampling
Sampling methods
Sampling, quantization
Signal and communications theory
Signal sampling
Telecommunications and information theory
Testing
Wireless networks
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Description
Summary: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.
ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2010.07.100438