Measurement of angular and distance correlation properties of log-normal shadowing at 1900 MHz and its application to design of PCS systems

Weitzen, Jay; Lowe, Timothy J.

doi:10.1109/25.994804

Cited by 81 publications

(37 citation statements)

References 2 publications

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“…Proposition 2: As argued in [7], [18], [37], [59], [60], [72], [73], [86], [95], and [96], correlation in shadowing may be explained by a partial overlap of the large-scale propagation medium, as seen in Fig. 4.…”

Section: E More Elaborate (Nonseparable) Modelsmentioning

confidence: 87%

“…A similar measurement campaign [37] reported a much lower angular correlation, suggesting the need for a more complex model. However, it has been argued [45] that θ is the most significant parameter in cross-correlation, which justifies using these models as a first approximation.…”

Section: Angle-only Modelsmentioning

confidence: 93%

“…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%

“…3) arrival distance ratio (in decibels) [33], [37], [56], [72]: R = |10 log 10 r 1 /r 2 | = (10/ ln 10)| ln r 1 − ln r 2 |. These quantities are illustrated in Fig.…”

Section: Collapsing Correlation Onto One Dimensionmentioning

confidence: 99%

“…The use of the θ and R dimensions for shadowing correlation models has been argued in [37], [38], [45], [56], [62], and [72], although separability may be a simplistic assumption [56].…”

Section: ) Angle-distance Ratiomentioning

confidence: 99%

See 4 more Smart Citations

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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Section: E More Elaborate (Nonseparable) Modelsmentioning

confidence: 87%

Section: Angle-only Modelsmentioning

confidence: 93%

Section: Types Of Correlationmentioning

confidence: 99%

“…3) arrival distance ratio (in decibels) [33], [37], [56], [72]: R = |10 log 10 r 1 /r 2 | = (10/ ln 10)| ln r 1 − ln r 2 |. These quantities are illustrated in Fig.…”

Section: Collapsing Correlation Onto One Dimensionmentioning

confidence: 99%

“…The use of the θ and R dimensions for shadowing correlation models has been argued in [37], [38], [45], [56], [62], and [72], although separability may be a simplistic assumption [56].…”

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.

164

125

View full text Add to dashboard Cite

show abstract

WINNER II Channel Models

Meinilä

Kyösti

Jämsä

et al. 2009

Radio Technologies and Concepts for IMT‐Advanced

568

144

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The effects of shadow‐fading on QoS‐aware routing and admission control protocols designed for multi‐hop MANETs

Hanzo¹,

Tafazolli²

2011

Wireless Communications

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Providing quality‐of‐service (QoS) assurances in a mobile ad hoc network (MANET) is difficult due to node mobility, contention for channel access, a lack of centralised coordination, and the unreliable nature of the wireless channel. QoS‐aware routing (QAR) and admission control (AC) protocols comprise two of the most important components of a system attempting to provide QoS guarantees in the face of the above‐mentioned difficulties. This paper presents a comparative study, utilising a realistic shadow fading channel, of the performance of several state‐of‐the‐art amalgamated QAR‐AC protocols, which are designed for providing throughput guarantees to applications. The advantages and drawbacks of their particular features are highlighted. For an environment where link quality varies rapidly, the results of the study highlight the ineffectiveness of previously‐proposed methods of relying merely on the success of route discovery to perform AC, of relying on the exceeding of the MAC layer retransmission count for link failure detection, of existing congestion detection schemes and of careful re‐admission of data sessions rather than fast re‐routing after shadowing‐induced link failures. Based on the lessons learnt, design guidelines for future QAR and AC protocols operating in a mobile shadow‐fading‐afflicted environment are presented. Copyright © 2010 John Wiley & Sons, Ltd.

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Measurement of angular and distance correlation properties of log-normal shadowing at 1900 MHz and its application to design of PCS systems

Cited by 81 publications

References 2 publications

On the Feasibility of Wireless Shadowing Correlation Models

On the Feasibility of Wireless Shadowing Correlation Models

WINNER II Channel Models

The effects of shadow‐fading on QoS‐aware routing and admission control protocols designed for multi‐hop MANETs

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