A spatio-temporal channel measurement and ray-tracing validation in suburban microcell environments

Zhu, Houtao; Fu, Jiye; Takada, Jun‐ichi; Araki, Kiyomichi; Masui, Hironari

doi:10.1109/aps.2000.875423

IEEE Antennas and Propagation Society International Symposium. Transmitting Waves of Progress to the Next Millennium. 2000 Dige

DOI: 10.1109/aps.2000.875423

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A spatio-temporal channel measurement and ray-tracing validation in suburban microcell environments

Houtao Zhu¹,

Jiye Fu²,

Jun‐ichi Takada³

et al.

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Cited by 2 publications

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Spatio-temporal channel characterization in a suburban non line-of-sight microcellular environment

Takada

Zhu

et al. 2002

IEEE J. Select. Areas Commun.

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This paper reports a spatio-temporal channel characterization of a suburban non line-of-sight microcellular environment in which azimuth-delay profiles obtained by the experiment are compared with ray-tracing simulation. The results are statistically treated step by step to extract model parameters in order to characterize the spatio-temporal channel. The experimental results we obtain are used to improve the accuracy of the simulation process. We are able to obtain a very good agreement between the simulation and the experiment, with the exception of the exponential decay of the delay profile. The results presented in the paper can be directly used to implement the stochastic spatio-temporal channel model, based on the deterministic ray-tracing simulations. Index Terms-Land mobile radio propagation factors, multipath chanels, ray tracing. I. INTRODUCTION T HE RECENT progress of the high data-rate wireless communication systems, such as IMT-2000 and IEEE 802.11, is obvious. From the viewpoint of the radiowave propagation, however, these systems exhibit the following disadvantages. • In order to increase the data rate, the broadband channels are necessary. The carrier frequency needs to be increased for this purpose. However, both the free space path loss and the diffraction loss increase according to any increase in the frequency. • The channel spreading factor, , where is the maximum Doppler spread and is the maximum delay spread, also increases as a function of the carrier fre

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Spatio-temporal channel characterization in a suburban non line-of-sight microcellular environment

Takada

Zhu

et al. 2002

IEEE J. Select. Areas Commun.

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Landmobile Radiowave Multipaths' DOA-Distribution: Assessing Geometric Models by the Open Literature's Empirical Datasets

Wong

Yu-hua

Abdulla³

2010

IEEE Trans. Antennas Propagat.

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Geometric modeling" idealizes the spatial geometric relationships among the transmitter, the scatterers, and the receiver in a wireless propagation channel-to 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.

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A spatio-temporal channel measurement and ray-tracing validation in suburban microcell environments

Cited by 2 publications

References 6 publications

Spatio-temporal channel characterization in a suburban non line-of-sight microcellular environment

Spatio-temporal channel characterization in a suburban non line-of-sight microcellular environment

Landmobile Radiowave Multipaths' DOA-Distribution: Assessing Geometric Models by the Open Literature's Empirical Datasets

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