2007
DOI: 10.1002/ett.1179
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Abstract: SUMMARYWireless communication simulations are generally conducted using one-dimensional models for large-scale fading. While simple and with low computational costs, these models cannot produce correlated fading values for mobiles that are in nearby positions. To overcome this limitation, this paper presents a novel bi-dimensional large-scale fading model which introduces the spatial correlation present in real systems. Besides, it is also able to model the non-negligible cross-correlation among signals coming… Show more

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Cited by 35 publications
(41 citation statements)
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“…Such methods rely on generating shadowing maps [42] in some way. Three algorithms for doing so are the sum-ofsinusoids (SoS) algorithm [67], the network shadowing (NeSh) method [2], [3], [44], [68], and the over-obstacle multiple-edge diffraction model [75].…”
Section: Generalised Correlationmentioning
confidence: 99%
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“…Such methods rely on generating shadowing maps [42] in some way. Three algorithms for doing so are the sum-ofsinusoids (SoS) algorithm [67], the network shadowing (NeSh) method [2], [3], [44], [68], and the over-obstacle multiple-edge diffraction model [75].…”
Section: Generalised Correlationmentioning
confidence: 99%
“…with 0 < ρ < 1, is sometimes used [5], [9]- [11], [20], [21], [29], [42], [45], [47], [53], [61], [63], [76], [82], [83] (ρ = 0.5 [7], [23], [59], [60]) when more information is lacking. However, [7] argued that this may be a too-simplistic model, comparing simulations that use constant versus nonconstant models.…”
Section: A Constant Modelmentioning
confidence: 99%
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“…Thus, a totally independent one-dimensional lognormal shadow fading fails to well represent the shadow fading for real systems and a two-dimensional (2D) shadow fading model is preferred. Extensive research has been conducted on how to accurately model the shadow fading, e.g., how to model the cross-correlation and spatial correlation existing in the realistic shadow fading [3,4,7] and how to include them into the 2D shadow fading models [8][9][10][11][12]. For instance, in [3], Saunders et al proposes a cross-correlation model for the shadow fading.…”
Section: Introductionmentioning
confidence: 99%