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with the quasi-homogeneous building density of 80 100 buildings per square kilometer, the average building length of 70 100 m, and the amount of building oors varied from 5 to 15. Finally, all open areas consisting of parks and gardens were eliminated from consideration. Using topographic maps of experimental sites mentioned above, a set of virtual radio paths for each position of the base station antenna (or the radio port) were constructed around it from 0 up to 360 with the step of 5 . Thus, for radio paths with ranges d 2 (0, 200 m), a number of crossings (outcomes) with buildings along each radio path for all experimental sites were 920, for radio paths with ranges d 2 (200 m, 500 m), this amount was 550, and for radio paths with ranges d 2 (500 m, 1000 m) it was 360. We summarized these statistics in Figures 11.1a c by the corresponding continuous curves for each range: 200 m, 500 m, and 800 m, respectively. Then using these statistics and the parameters of each topographic map of the concrete experimental site, the mean value m was estimated and used for the calculation of the actual Poisson s distribution (11.1). Results of these calculations are presented in Figures 11.1a c by dashed curves. Here, as in 5, we consider an ordinary and simple ow of scatterers, that is each single ray scattered as independent without crossing other rays or other scatterers. Notice that only rays with the level of 10 dB below the maximum were

0.3 0.2 0.2 0.1 0.1

125 125

Phone calls with clients almost always take at least a half hour for me. This is because the clients that I deal with are as busy as I am and when we schedule time to talk, we usually both have a lot to say. It is also because phone conversations are more personal than e-mails and thus take longer to do well. In these cases, I charge for the hours of the call.

FIGURE 11.2. Probability laws of rays number for links: (a) from 300 m to 500 m and (b) from 800 m to 1.5 km.

127 136 139

taken into account in our statistical analysis. Moreover, for four similar experimental sites of Beer-Sheba, Tel-Aviv, Ramat-Gan, and Jerusalem, the topographic maps were described more in detail compared to other experimental sites. A statistical analysis of the number of waves N arriving at the receiver for each concrete radio path, which corresponds to the number of scatterers, was carried out. Figures 11.2a and b show the distribution of rays after multiple scattering. Poisson s law can explain the statistical distribution for about 70% of rays that vary from 300 to 500 m (Fig. 11.2a), and for about 90% of rays that vary from 800 m to 1.5 km (Fig. 11.2b). Simultaneously, the same statistical analysis from the experimental sites mentioned above, was carried out to verify situations of direct visibility between antennas along each radio path. The results of this statistical analysis are depicted by points in Figure 11.3 in a logarithmic scale versus the range between the real base station and virtual subscriber placed at a range d from this station. Using formula (5.68) from 5, which describes the probability of direct visibility, and rewriting it in the following form Pd 0 exp go d 11:3

where for each experimental site and for the concrete range d the parameter go was estimated, we nally calculated the probability function presented in Figure 11.3 by the dashed curve. From the results of the statistical analysis of the topographic map of various builtup areas and those calculated using formulas (11.1) and (11.3), a signi cant deviation from Poisson s law is observed, speci cally for radio links with ranges between the antennas that are less than 50 100 m. Beyond these ranges (important for micro and macrocell planning) these deviations are negligible.

A day or so after I turn in the final deliverables to a client, I always schedule a wrap-up meeting to make sure that all expectations are met and that the clients know exactly what to do with what they have been provided. This is helpful for both the client and me because it keeps us on the same page and leaves everyone feeling like they got their fair share from the business relationship.

When to test: Summative and formative evaluations Conducting formative usability tests Designer involvement in usability studies

ln Pd (0) 2

141 142

FIGURE 11.3. Results of the statistical analysis of direct visibility versus range d between base station and each virtual subscriber; points correspond to the statistical experiment and the dashed curve is obtained according using eqn. (11.3).

In some cases I will schedule a follow-up meeting with clients to see how my recommendations worked for them. This is both to ensure that the client was happy with my work and to make sure that my theories are working as I hoped they would.