Macroscopic diversity performance measured in the 800-MHz portable radio communications environment

Arnold, H. W.; Cox, D.C.; Murray, R.R.

doi:10.1109/8.1105

Cited by 54 publications

(20 citation statements)

References 6 publications

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Section: A Motivationmentioning

confidence: 99%

“…Older works show that shadowing correlation significantly affects handover behavior [6]- [9], interference power [10]- [14] (and consequently system performance) [15]- [17], and the performance of macrodiversity schemes [10], [18]- [23]. Furthermore, shadowing in decibels has been measured [18], [24]- [39] to have significant correlation in various scenarios. Because of these two facts, we believe that the general wireless community is becoming convinced of the importance of modeling correlation in shadowing [2]- [5], [12], [23], [40]- [49].…”

Section: A Motivationmentioning

confidence: 99%

“…Some of the first shadowing correlation measurements along θ were reported in [18] and [24], but no analytical model was extracted. A similar measurement campaign [37] reported a much lower angular correlation, suggesting the need for a more complex model.…”

Section: Angle-only Modelsmentioning

confidence: 99%

“…Several field measurements have been performed [18], [24], [28], [29], [33], [34], [36]- [38] to gather data about the true physical correlation model, which we callh. Field measurements produce a set of data points, from which an estimate of the cross-correlation function, which we callĥ, is obtained by fitting the data with plausible-looking simple mathematical functions.…”

Section: B Cross-correlation As Spatial-only Correlationmentioning

confidence: 99%

“…Shadowing represents the variability of the logarithm of the received power around its expected value: we denote this quantity S, with VAR{S} < ∞. The small-scale effect of fading has been removed in the spatial dimension by averaging over a local region [45] of about 50 wavelengths [56], [62], that is, approximately 8-34 m for classic cellular channels [18], [24], [25], [27], [29], [37], [38].…”

Section: Types Of Correlationmentioning

confidence: 99%

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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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