Experimental analysis of the joint statistical properties of azimuth spread, delay spread, and shadow fading

Algans, A.; Pedersen, Klaus I.; Mogensen, Preben

doi:10.1109/49.995511

Cited by 199 publications

(144 citation statements)

References 18 publications

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“…Furthermore, it is correlated with shadowing [11], [12]. Measurement results have also shown that in some environments, multipath components are not always uniformly spread out.…”

Section: Introductionmentioning

confidence: 92%

“…The model is among the most comprehensive models available currently [16]- [18]. It builds upon the COST231 studies, is widely supported for realistic simulations of WCDMA, and incorporates the results of several extensive measurement campaigns, e.g., [11], [12], [15], [19]. While using stored traces or ray-tracing methods leads to very accurate channel descriptions, as they can incorporate most of the details of the radio environment, their results are location-specific and can suffer from a lack of generality.…”

Section: Introductionmentioning

confidence: 99%

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Macrocell-Wide Behavior of the Orthogonality Factor in WCDMA Downlinks

Mehta

Molisch

Greenstein

2006

IEEE Trans. Wireless Commun.

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The orthogonality factor (OF) quantifies the loss of orthogonality between the signals transmitted simultaneously on a wideband code division multiple access (WCDMA) downlink due to multipath dispersion. It is one of the fundamental parameters that determines the signalto-interference-plus-noise ratio at the output of the Rake receiver and, consequently, it has a significant impact on downlink system capacity. The OF depends greatly on the delay profile of the multipath channel between the mobile and its serving base station; this profile varies considerably from one location in the cell to another. In this paper, we study how the statistical properties of the small-scale-fading-averaged OF vary over the entire macrocellular area. We use an ensemble of channel profiles at different locations in a cell generated from an implementation of the comprehensive COST259 channel model, which incorporates results from several experimental investigations. We show that the small-scale-fading-averaged OF is itself a random variable whose statistics depend on the mobile's distance from its serving base station. The large observed variance of the OF indicates that using a single value for all users in downlink capacity analyses and simulations, as has been the practice, may lead to erroneous conclusions. Finally, we propose a simple model that closely matches the statistics of the OF as a function of mobileto-base distance, thus obviating the need to set up the complicated channel model every time OF values are to be generated. IEEE Transactions on Wireless Communications (2006)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. Abstract-The orthogonality factor (OF) quantifies the loss of orthogonality between the signals transmitted simultaneously on a wideband code division multiple access (WCDMA) downlink due to multipath dispersion. It is one of the fundamental parameters that determines the signal-to-interference-plus-noise ratio at the output of a Rake receiver and, consequently, it has a significant impact on downlink system capacity. The OF depends greatly on the delay profile of the multipath channel between the mobile and its serving base station; this profile varies considerably from one location in the cell to another.In this paper, we study how the statistical properties of the small-scale-fading-averaged OF vary over the entire macrocellular area. We use an ensemble of channel profiles ...

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“…Furthermore, it is correlated with shadowing [11], [12]. Measurement results have also shown that in some environments, multipath components are not always uniformly spread out.…”

Section: Introductionmentioning

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Macrocell-Wide Behavior of the Orthogonality Factor in WCDMA Downlinks

Mehta

Molisch

Greenstein

2006

IEEE Trans. Wireless Commun.

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“…Spatial correlation of signal strength measurements has been studied extensively in literature, c.f. [21,22] and references therein. These studies aim at describing the stochastic properties of signal strength distribution to develop suitable wireless 6 Bold script denotes a collection of variables or a vector.…”

Section: Spatial Dependenciesmentioning

confidence: 99%

Centralized modeling of the communication space for spectral awareness in cognitive radio networks

Elsner

Koerner

Jondral

2009

SIGMOBILE Mob. Comput. Commun. Rev.

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The communication space is five dimensional: its degrees of freedom are frequency, time and space. The use of the electromagnetic spectrum depends on these parameters. With future applications such as opportunistic overlay access or distributed spectrum monitoring in mind, it is important to estimate the state of the communication space on the basis of incomplete or imprecise information. A promising approach are technology centric Cognitive Radio networks. In these networks, nodes cooperate to infer information on spectral occupancy. This conceptual paper proposes a novel approach for centralized modeling of the communication space with emphasis on spatial dependencies through the use of a regression model. The modeling approach is verified with practical measurements.

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“…In [28], [32], and [90], the sum of two independent exponential processes is used, which leads to the following correlation model:…”

Section: ) Exponential Modelmentioning

confidence: 99%

On the Feasibility of Wireless Shadowing Correlation Models

Szyszkowicz

Yanıkömeroğlu

Thompson

2010

IEEE Trans. Veh. Technol.

164

125

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Abstract-There is emerging interest in more detailed models for wireless shadowing, which may include nonconstant shadowing variance, non-lognormal shadowing, and, most importantly, correlation between paths; we focus on this last aspect. This paper offers a structured synthesis of the existing literature on autocorrelation and cross-correlation in wireless shadowing and attempts to fill existing gaps in the analysis of correlation models. We make a survey of these models and argue, as has previously been observed, that certain models are not mathematically feasible, which may lead to problems in simulations or analysis. We then state some theorems that test whether the models are positive semidefinite, which is the central necessary condition for feasibility, and evaluate the existing models accordingly. Additionally, we evaluate the models according to their physical plausibility, which leads us to choose one model among many as arguably the best one in existence so far. This paper should be useful as a guide on how to implement shadowing correlation in one's work, how to choose an appropriate correlation model, and how to modify existing models or create new models so that they fulfill mathematical feasibility.

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Experimental analysis of the joint statistical properties of azimuth spread, delay spread, and shadow fading

Cited by 199 publications

References 18 publications

Macrocell-Wide Behavior of the Orthogonality Factor in WCDMA Downlinks

Macrocell-Wide Behavior of the Orthogonality Factor in WCDMA Downlinks

Centralized modeling of the communication space for spectral awareness in cognitive radio networks

On the Feasibility of Wireless Shadowing Correlation Models

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