Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/8197
Title: Landmobile radiowave multipaths' DOA-distribution : assessing geometric models by the open literature's empirical datasets
Authors: Wong, KT 
Wu, YI
Abdulla, M
Keywords: Communication channels
Direction-of-arrival (DOA)
Dispersive channels
Fading channels
Geometric modeling
Multipath channels
Scatter channels
Issue Date: 2010
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on antennas and propagation, 2010, v. 58, no. 3, 5345755, p. 946-958 How to cite?
Journal: IEEE transactions on antennas and propagation 
Abstract: Geometric modeling idealizes the spatial geometric relationships among the transmitter, the scatterers, and the receiver in a wireless propagation channelto produce closed-form formulas of various channel-fading metrics (e.g., the distribution of the azimuth angle-of-arrival of the arriving multipaths). Scattered in the open literature are numerous such geometric models, each advancing its own closed-form formula of a fading metric, each based on a different idealization of the spatial geometry of the scatterers. Lacking in the open literature is a comprehensive and critical comparison among all such single-cluster geometric-model-based formulas of the arriving multipaths' azimuth direction-of-arrival distribution. This paper fills this literature gap. The comparison here uses all empirical data legibly available in the open literature for landmobile wireless radiowave propagation. No one geometric model is best by all criteria and for all environments. However, a safe choice is the model with a Gaussian density of scatterers centered at the transmitter. Despite this model's simplicity of having only one degree of freedom, it is always either the best fitting model or offers an LSE within one third of an order-of-magnitude as the best fitting model for all empirical dataset of all environments.
URI: http://hdl.handle.net/10397/8197
ISSN: 0018-926X
EISSN: 1558-2221
DOI: 10.1109/TAP.2009.2037698
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