Statistics of shadowing in indoor radio channels at 900 and 1900 MHz

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

doi:10.1109/milcom.1992.244122

Cited by 42 publications

(46 citation statements)

References 7 publications

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“…However, this is contradicted by some measurement campaigns [24], [26], [27], [30], [34], [36]- [39], which reported some significantly negative estimated correlation coefficients in some cases. It would be interesting to study whether these observations are statistically significant.…”

Section: E More Elaborate (Nonseparable) Modelsmentioning

confidence: 83%

“…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%

“…Shadowing correlation can occur in various particular scenarios, specifically in peer-to-peer links [2], [67], [68], in indoor, cross-floor, and indoor-outdoor links [27], [30], and in satellite-ground communications [31], [69]- [71]. It should be noted however that most of the literature on correlation in shadowing is driven by cellular (usually urban) scenarios, where the base station/mobile and uplink/downlink dualities apply.…”

Section: A Scenariosmentioning

confidence: 99%

“…This is simple to resolve: if we use the general form (27) as h Θ (θ) and (31) as h R (R), then we have a very flexible model that is always psd.…”

Section: ) Angle-distance Ratiomentioning

confidence: 99%

“…Equivalently, we may use Pólya's theorem, as in [56]. The model (27) was already shown to be psd. Now, h is expressed as a product of two psd models, and it follows from Theorem 6 that h(θ, R) is psd.…”

Section: ) Angle-distance Ratiomentioning

confidence: 99%

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On the Feasibility of Wireless Shadowing Correlation Models

Szyszkowicz

Yanıkömeroğlu

Thompson

2010

IEEE Trans. Veh. Technol.

163

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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Section: E More Elaborate (Nonseparable) Modelsmentioning

confidence: 83%

Section: Types Of Correlationmentioning

confidence: 99%

Section: A Scenariosmentioning

confidence: 99%

“…This is simple to resolve: if we use the general form (27) as h Θ (θ) and (31) as h R (R), then we have a very flexible model that is always psd.…”

Section: ) Angle-distance Ratiomentioning

confidence: 99%

Section: ) Angle-distance Ratiomentioning

confidence: 99%

See 3 more Smart Citations

On the Feasibility of Wireless Shadowing Correlation Models

Szyszkowicz

Yanıkömeroğlu

Thompson

2010

IEEE Trans. Veh. Technol.

163

125

View full text Add to dashboard Cite

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An approximate statistical analysis of wireless channel over α − μ shadowed fading channel

Upaddhyay

Soni

Chauhan

2021

Int J Communication

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Summary In this work, we have comprehensively investigated the impact of non‐linearity (α − μ) and shadowing (inverse gamma) collectively over the wireless channel. To this effect, an approximate closed‐form probability density function (PDF) expression is derived over α − μ/inverse gamma fading channel by employing Gauss–Laguerre quadrature polynomial. The accuracy of the proposed approximate solution is validated through the Kullback–Leibler divergence test. Subsequently, the proposed solution is utilized in the development of various fundamental statistics like commutative distribution function (CDF), moment generating function (MGF) and nth moment. This contribution also includes the derivation of coding gain and diversity gain to study average symbol error probability (SEP) with MRC and EGC diversity. It is observed that diversity gain is independent of shadowing and as the channel condition improves, the coding gain decreases. Finally, the closed‐form solutions of spectral efficiency under different adaptive transmission policies are also developed specifically, optimal power and rate adaptation (OPRA) and effective capacity along with simpler low‐ and high‐power expressions. Monte‐Carlo simulations are utilized to validate the proposed analytical and numerical results.

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Optimizing trilateration estimates for tracking fine‐scale movement of wildlife using automated radio telemetry networks

Paxton

Baker

Crytser

et al. 2022

Ecology and Evolution

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A major advancement in the use of radio telemetry has been the development of automated radio tracking systems (ARTS), which allow animal movements to be tracked continuously. A new ARTS approach is the use of a network of simple radio receivers (nodes) that collect radio signal strength (RSS) values from animal‐borne radio transmitters. However, the use of RSS‐based localization methods in wildlife tracking research is new, and analytical approaches critical for determining high‐quality location data have lagged behind technological developments. We present an analytical approach to optimize RSS‐based localization estimates for a node network designed to track fine‐scale animal movements in a localized area. Specifically, we test the application of analytical filters (signal strength, distance among nodes) to data from real and simulated node networks that differ in the density and configuration of nodes. We evaluate how different filters and network configurations (density and regularity of node spacing) may influence the accuracy of RSS‐based localization estimates. Overall, the use of signal strength and distance‐based filters resulted in a 3‐ to 9‐fold increase in median accuracy of location estimates over unfiltered estimates, with the most stringent filters providing location estimates with a median accuracy ranging from 28 to 73 m depending on the configuration and spacing of the node network. We found that distance filters performed significantly better than RSS filters for networks with evenly spaced nodes, but the advantage diminished when nodes were less uniformly spaced within a network. Our results not only provide analytical approaches to greatly increase the accuracy of RSS‐based localization estimates, as well as the computer code to do so, but also provide guidance on how to best configure node networks to maximize the accuracy and capabilities of such systems for wildlife tracking studies.

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Statistics of shadowing in indoor radio channels at 900 and 1900 MHz

Cited by 42 publications

References 7 publications

On the Feasibility of Wireless Shadowing Correlation Models

On the Feasibility of Wireless Shadowing Correlation Models

An approximate statistical analysis of wireless channel over α − μ shadowed fading channel

Optimizing trilateration estimates for tracking fine‐scale movement of wildlife using automated radio telemetry networks

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