Analysis and modeling of multiple-input multiple-output (MIMO) radio channel based on outdoor measurements conducted at 2.5 GHz for fixed BWA applications

Soma, P.; Baum, D.S.; Erceg, V.; Krishnamoorthy, R.; Paulraj, A.

doi:10.1109/icc.2002.996859

Cited by 109 publications

(94 citation statements)

References 7 publications

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“…In [20], a channel model that could explain the behavior by decomposing the channel correlation matrix into three terms was given. In [22] and [23], the influence of polarization was investigated. The model of [24] is mainly suitable for experimental analysis and site-specific modeling.The review paper [18] gives a more detailed look at those different channel models.…”

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confidence: 99%

A Generic Model for MIMO Wireless Propagation Channels in Macro- and Microcells

Molisch

2004

IEEE Trans. Signal Process.

199

134

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This paper derives a generic model for the multiple-input multiple-output (MIMO) wireless channel. The model incorporates important effects, including i) interdependency of directions-ofarrival and directions-of-departure, ii) large delay and angle dispersion by propagation via far clusters, and iii) rank reduction of the transfer function matrix. We propose a geometrybased model that includes the propagation effects that are critical for MIMO performance: i) single scattering around the BS and MS, ii) scattering by far clusters, iii) double-scattering, iv) waveguiding, and v) diffraction by roof edges. The required parameters for the complete definition of the model are enumerated, and typical parameter values in macro and microcellular environments are discussed.This work may not be copied or reproduced in whole or in part for any commercial purpose. Permission to copy in whole or in part without payment of fee is granted for nonprofit educational and research purposes provided that all such whole or partial copies include the following: a notice that such copying is by permission of Mitsubishi Electric Research Laboratories, Inc.; an acknowledgment of the authors and individual contributions to the work; and all applicable portions of the copyright notice. Copying, reproduction, or republishing for any other purpose shall require a license with payment of fee to Mitsubishi Electric Research Laboratories, Inc. All rights reserved.

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confidence: 99%

A Generic Model for MIMO Wireless Propagation Channels in Macro- and Microcells

Molisch

2004

IEEE Trans. Signal Process.

199

134

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“…It decreases when the local scattering ratio is increased from zero to one. The flat behavior of the condition number has been experimentally observed in [15] for 90 -beamwidth CPE antennas in Ricean channels.…”

Section: B Flat-fading Ricean Channelsmentioning

confidence: 90%

“…In order to simplify further expressions, angles of departure (from the BTS) and arrival (at the CPE) of each ray are defined relatively to the link axis, respectively, by (12) (13) When point-like single scatterers are considered, the channel matrix is expressed as shown in (14), at the bottom of the page. If , is given by (15), shown at the bottom of the page, while if , . In (14) and (15), and are the respective antenna patterns, and and are the corresponding pointing angles (in this paper, we fix , so that BTS and CPE antenna patterns are aligned with the link axis).…”

Section: Mimo Channel Formulationmentioning

confidence: 99%

“…On the contrary, the proposed method is valid for any -factor, including the case of Rayleigh fading. Furthermore, recent MIMO measurements of the fixed MMDS channel [15] have also shown that the capacity slightly decreases with range for a fixed signal-to-noise ratio (SNR), although other channel characteristics such as the delay spread and the -factor vary significantly with range. Existing models cannot explain for such behavior, partly because most macrocellular propagation models do not address the impact of the range on the channel properties.…”

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confidence: 99%

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A physical scattering model for MIMO macrocellular broadband wireless channels

Oestges

Erceg²,

Paulraj³

2003

IEEE J. Select. Areas Commun.

Self Cite

105

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Abstract-This paper presents a physical scattering model that predicts multiple-input multiple-output (MIMO) channel characteristics conforming well to experimental observations in macrocells. Our approach is to start with a given single-input single-output power-delay profile (defined for specific range, bandwidth and antenna parameters) and fit a scattering model that characterizes the MIMO channel. From the derived scattering model and antenna array configurations, the MIMO channel is computed using a ray-based method. Simulations of several MIMO channels are shown to exhibit experimentally observed channel correlations, antenna beamwidth effect, range dependency, and frequency selectivity.Index Terms-Broadband communication, indexing terms multiple-input multiple-output (MIMO) systems, multipath channels, propagation, scattering.

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“…We assume that all the channels from different transmitter antennas to different receiver antennas have the same delay and fading property, i.e., the same delay profile [4].…”

Section: B Wireless Channelsmentioning

confidence: 99%

Model-based channel estimation framework for MIMO multicarrier communication systems

Wang¹,

Liu

2005

IEEE Trans. Wireless Commun.

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Abstract-The multicarrier modulation (MCM) using multiple antennas is a promising technique for broadband communications over mobile wireless channels. In this work, we investigate the channel estimation problem for the MCM system with multiple transmitter and receiver antennas. The difficulty of such a problem is that the number of the channel parameters increases proportionally with the number of transmitter antennas while the observations at the receiver do not. A model-based channel estimation framework is proposed to identify the multiple channels simultaneously. Based on this framework, we further discuss the identification condition and the training sequence design by taking into account both the model error and residual noise. Finally, we show the performance of the proposed model-based channel estimation scheme using two types of models, Fourier-transform-based model and polynomial model. We also show the system performance of two space-time codes using the proposed channel estimation algorithm. Index Terms-Channel estimation, multicarrier, multiple-input multiple-output (MIMO).

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Analysis and modeling of multiple-input multiple-output (MIMO) radio channel based on outdoor measurements conducted at 2.5 GHz for fixed BWA applications

Cited by 109 publications

References 7 publications

A Generic Model for MIMO Wireless Propagation Channels in Macro- and Microcells

A Generic Model for MIMO Wireless Propagation Channels in Macro- and Microcells

A physical scattering model for MIMO macrocellular broadband wireless channels

Model-based channel estimation framework for MIMO multicarrier communication systems

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