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Meta directives (also called meta robots) are the best way to block search engine crawlers from specific pages. I have found myself recommending various uses of these in every SEO report I have ever written. For a full explanation of this see the section titled Blocking Pages from Search Engines in 6.

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L tot [dB]

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FIGURE 11.18. Median path loss and slow fading margin with respect to experimental data versus distance d from the transmitter in m. (Source [41]: Reprinted with permission of John Wiley & Sons)

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Second Step. Estimation of slow fade margin, using the characteristic slow fading variance of typically 6 to 9 dB [40], and assuming lognormal slow fading PDF with a 1 2% slow fading margin overload probability (see Fig. 11.17). In this case, one has a slow fading margin of LSF 2sSh 10 15 dB. Third Step. Assuming the Rician fast fading PDF, as a more general PDF for multipath channel prediction, with the Rician parameter K 5 10 [40] and a fast fading margin overload probability of 1% (see Fig. 11.17), one has a fast fading margin of LFF 5 7 dB. Another concept that still uses the same statistical approach for obtaining the slow and fast fade margins was proposed in Reference [41]. According to the proposed concept, the effect of slow fading or shadowing can be described as a difference between the median path loss and the maximum acceptable path loss, Lm . The median path loss can be predicted by any standard propagation model (see, for example, References [2,6,21,39,40]), which is depicted in Figure 11.18 by the continuous curve according to Reference [41]. The parameter Lm relates to the noise oor gure (NFL) of the concrete communication system. To obtain the shadow fade margin, one needs information on the PDF of the slow fading, which is de ned in References [39 42] as a Gaussian process with a zero-mean Gaussian variable sSF and with a standard

Then the corresponding term of shadowing Equation (11.28) in dB for link budget design equals: LSF 10 log sSF sSF dB . Now we can, as in References [40 42], introduce an error function to obtain the so-called complementary cumulative distribution function, CCDF Q t 1 CDF t , which describes the probability that the shadowing increases the median path loss by at least Z dB (Fig. 11.18) Q t Pr sSF 1 > Z p 2p

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deviation of shadowing sL . Its PDF was described in 1, we rewrite it using a de nition as & ' 1 s2 11:30 PDF x p exp SF 2s2 sL 2p L

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11:31

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where t Z=sL . The CCDF is depicted in Figure 11.19 following References [39,40] versus the normalized parameter t. In this approach it was assumed a priori that either a maximum acceptable path loss of the system compared to noise oor level is known, or the concrete percentage of successful communication at the fringe of coverage of test area is known. In both cases the margin level Z can be obtained and, nally, for the concrete range of test area, the slow fading margin. To explain to the reader how to use the results of calculations according to References [40,41] that are presented in Figure 11.18 and Figure 11.19, let us rst explain an example illustrated in Figure 11.18.

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As the name implies, this is usually the most technical section of my SEO reports. This section covers all of the server and crawling errors that I and the search engines encounter when visiting the given website.

Q(t)

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