A physical scattering model for MIMO macrocellular broadband wireless channels

Oestges, Claude; Erceg, V.; Paulraj, A.

doi:10.1109/jsac.2003.810322

Cited by 104 publications

(35 citation statements)

References 20 publications

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“…When metallic windows and other artifacts, trees, and walls in buildings are incorporated in the model, the richer multipath environment is very similar to an isotropic scattering [11]. Some works [12] provide models with a dependence on the number of scatters, obtaining several relationships between the number of multipath components and the Rician K-factor or the MIMO capacity. It is therefore possible to encounter in practice the isotropic scattering for indoor environments that will be used in this letter to validate the proposed functions.…”

Section: Introductionmentioning

confidence: 99%

Estimating Combined Correlation Functions for Dipoles in Rayleigh-Fading Scenarios

Valenzuela-Valdés

Martinez-Gonzalez

Sánchez‐Hernández

2007

Antennas Wirel. Propag. Lett.

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Abstract-While the spatial correlation function between two dipoles is well known, the angular correlation function for different arbitrary inclination angles in transmission and reception is not available in the literature. In this paper, a novel angular correlation function is proposed for two dipoles with arbitrary inclination angles between transmission and reception, which is useful for true polarization diversity schemes. Likewise, two original functions for estimating combined spatial-angular correlation are proposed. The novel functions are used with previously reported results and validated for Rayleigh-fading scenarios with isotropic scattering using a reverberation chamber.

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Section: Introductionmentioning

confidence: 99%

Estimating Combined Correlation Functions for Dipoles in Rayleigh-Fading Scenarios

Valenzuela-Valdés

Martinez-Gonzalez

Sánchez‐Hernández

2007

Antennas Wirel. Propag. Lett.

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“…Within this subcategory, the widely deployed models are the 3GPP/3GPP2 SCM [32] and the IMT-Adv MCM [35] for 3G and B3G/4G cellular systems, respectively. Other examples of ray-based models are such as [56]- [61]. The correlation-based modeling approach relies on the channel second order statistics such as correlation and covariance matrices.…”

Section: Stochastic Approachmentioning

confidence: 99%

Evolution Trends of Wireless MIMO Channel Modeling towards IMT-Advanced

Chong¹,

Watanabe²,

Kitao

et al. 2009

IEICE Trans. Commun.

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SUMMARYThis paper describes an evolution and standardization trends of the wireless channel modeling activities towards IMT-Advanced. After a background survey on various channel modeling approaches is introduced, two well-known multiple-input-multiple-output (MIMO) channel models for cellular systems, namely, the 3GPP/3GPP2 Spatial Channel Model (SCM) and the IMT-Advanced MIMO Channel Model (IMT-Adv MCM) are compared, and their main similarities are pointed out. The performance of MIMO systems is greatly influenced by the spatial-temporal correlation properties of the underlying MIMO channels. Here, we investigate the spatial-temporal correlation characteristics of the 3GPP/3GPP2 SCM and the IMT-Adv MCM in term of their spatial multiplexing and spatial diversity gains. The main goals of this paper are to summarize the current state of the art, as well as to point out the gaps in the wireless channel modeling works, and thus hopefully to stimulate research in these areas.

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“…Consequently, correlation is typically used to estimate the MIMO capacity. However, other works have shown that the MIMO capacity also depends on the number of multipath components and the Rician k-factor [20]. As a consequence, in this paper, diverse measurement scenarios were prepared to evaluate all the ranges of spatial, angular, and combined correlation scenarios between dipoles.…”

Section: A Measurement Setupmentioning

confidence: 99%

Accurate Estimation of Correlation and Capacity for Hybrid Spatial-Angular MIMO Systems

Valenzuela-Valdés¹,

Martinez-Gonzalez

Sánchez‐Hernández

2009

IEEE Trans. Veh. Technol.

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Abstract-In this paper, several novel functions for accurately estimating the correlation and the multiple-input-multiple-output (MIMO) capacity of combined spatial and true polarization diversity (TPD) schemes are proposed for the first time. Minimum error estimation of the correlation for a hybrid spatial-TPD linear scheme previously reported cannot be obtained by simple nonlinear least-square estimators, and the use of genetic algorithms (GAs) provides an accurate solution. Channel matrix coefficients and MIMO capacities are analyzed for the diverse optimization strategies employed, which aim to identify the best prediction of MIMO performance. The novel functions are used with previously reported results and validated for Rayleigh fading scenarios with isotropic scattering using a multimode-stirred chamber (MIMO Analyzer). An accurate prediction of high correlation values is concluded to be of extreme importance for the final MIMO performance estimation. This has been found to be particularly important for estimating MIMO capacity with achieved prediction accuracies of 1.1% at SNR = 15 dB. In contrast, the accurate prediction of low correlation values has been found to have a less-important effect on the final capacity-predicting performance.Index Terms-Correlation functions, dipole, genetic algorithms (GAs), multimode chamber, multiple input-multiple output (MIMO).

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A physical scattering model for MIMO macrocellular broadband wireless channels

Cited by 104 publications

References 20 publications

Estimating Combined Correlation Functions for Dipoles in Rayleigh-Fading Scenarios

Estimating Combined Correlation Functions for Dipoles in Rayleigh-Fading Scenarios

Evolution Trends of Wireless MIMO Channel Modeling towards IMT-Advanced

Accurate Estimation of Correlation and Capacity for Hybrid Spatial-Angular MIMO Systems

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