A geometrically based model for line-of-sight multipath radio channels

Liberti, J.C.; Rappaport, Theodore S.

doi:10.1109/vetec.1996.501430

Cited by 279 publications

(200 citation statements)

References 5 publications

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“…Equation (2) can subsequently be rewritten as (3) The power of the first tap is (4) For , the following ( ) relationships can also be written (5) We assume that the distribution of the reflection coefficient is independent of . Hence, the set of (5) reduces to (6) From the parameters of the tapped-delay line at the reference range and a given distribution for the reflection coefficient, the set { } can be unequivocally determined at that particular range by means of (3) and (6).…”

Section: A Ricean Channelsmentioning

confidence: 99%

“…The goal of this section is to highlight which out of these numerous variables are the key parameters of the model. First, a closer look at (3), (6), (9), and (10) indicates that both the scatterer density (in Rayleigh channels) and (in Ricean channels) only affect the total number of scatterers. Therefore, these parameters do not play any essential role in the model and can be chosen arbitrarily as long as the total number of scatterers remains sufficiently large as to validly represent Rayleigh or Ricean fading.…”

Section: E Determination Of Key Parametersmentioning

confidence: 99%

“…ceiver. In [6] and [7], scatterers are uniformly distributed within a single ellipse or elliptical subregions, with the transmitter and the receiver being the foci of the ellipse. A three-dimensional (3-D) generalization of this model is described in [8], but is focused on mobile environments and does not predict the variation of channel parameters, such as the Ricean -factor, as a function of the range.…”

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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.

104

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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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Section: A Ricean Channelsmentioning

confidence: 99%

Section: E Determination Of Key Parametersmentioning

confidence: 99%

mentioning

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.

104

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“…Each device broadcasts packets and stores the RSS of the packets received from all the other devices forming the network. When people are located or move in the environment, they modify the way the radio signals transmitted by the nodes propagate [1,2], by shadowing [3], reflecting [4], diffracting [5], or scattering [6] a subset of their multipath components [1][2][3][4][5][6][7][8][9]. The effect of people on the wireless links is reflected in the RSS measurements collected by the nodes [10].…”

Section: Introductionmentioning

confidence: 99%

Radio Tomographic Imaging for Ambient Assisted Living

Bocca

Kaltiokallio

Patwari

2013

Communications in Computer and Information Science

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Abstract. Accurate localization of people in indoor and domestic environments is one of the key requirements for ambient assisted living (AAL) systems. This chapter describes how the received signal strength (RSS) measurements collected by a network of static radio transceivers can be used to localize people without requiring them to wear or carry any radio device. We describe a technique named radio tomographic imaging (RTI), which produces real-time images of the change in the radio propagation field of the monitored area caused by the presence of people. People's locations are inferred from the estimated RTI images. We show results from a long-term deployment in a typical single floor, one bedroom apartment. In order to deal with the dynamic nature of the domestic environment, we introduce methods to make the RTI system self-calibrating. Experimental results show that the average localization error of the system is 0.23 m. Moreover, the system is capable of adapting to the changes in the indoor environment, achieving high localization accuracy over an extended period of time.

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“…In most GCMs single-bounce scattering is assumed to facilitate the former advantage. For small cell scenarios, an ellipse in the two dimensional space whose foci conform to the communication link ends is the familiar geometry [1]. The choice of such a geometry is postulated on the fact that propagation paths of equal length endure same propagation loss.…”

Section: Introductionmentioning

confidence: 99%

Radio channel simulation for microcell line-of-sight scenario

Ghoraishi

Takada

Imai

2008

IEICE Electron. Express

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A novel geometry-based channel model (GCM) for lineof-sight (LoS) microcell scenario in dense urban areas is proposed. The proposed two dimensional scattering power distribution (SPD) is postulated on the physical phenomenon is obtained. The implementation issues are discussed and the delay-power spectrum (DPS) and azimuthpower spectrum (APS) derived from the proposed model are compared to those for conventional elliptical models as well as to the experimental results. The superior prediction of the proposed model in contrast to the conventional models is demonstrated. Keywords: propagation channel, channel model, microcell, urban Classification: Microwave and millimeter wave devices, circuits, and systems References[1] J. Liberti and T. Rappaport, "A geometrically based model for line-ofsight multipath radio channels," IEEE Veh.

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A geometrically based model for line-of-sight multipath radio channels

Cited by 279 publications

References 5 publications

A physical scattering model for MIMO macrocellular broadband wireless channels

A physical scattering model for MIMO macrocellular broadband wireless channels

Radio Tomographic Imaging for Ambient Assisted Living

Radio channel simulation for microcell line-of-sight scenario

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