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FIGURE 1.14. A scheme for using adaptive antennas for each user located in different conditions in a service area.

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Even with smart antennas (see 8), we cannot totally cancel the effects of the environment, especially in urban areas, due to the spread of the antenna beam (see Fig. 1.14). s 5 and 10 will focus on terrain effects where a thorough analysis of these effects on the design of wireless system will be presented.

This section is useful only for link building practices that have not yet been done by the client (it is extremely difficult to unbuild existing links). In this section I point the client to the existing search engine guidelines.

[1] Jakes, W. C., Microwave Mobile Communications, New York, John Wiley and Son, 1974. [2] Steele, R., Mobile Radio Communication, IEEE Press, 1992. [3] Stuber, G. L., Principles of Mobile Communications, Boston-London, Kluwer Academic Publishers, 1996. [4] Lee, W. Y. C., Mobile Cellular Telecommunications Systems, McGraw Hill, New York, 1989. [5] Blaunstein, N., Radio Propagation in Cellular Networks. Artech Houses, BostonLondon, 1999. [6] Blaunstein, N., and J. B. Andersen, Multipath Phenomena in Cellular Networks, Artech Houses, Boston-London, 2002. [7] Saunders, S. R., Antennas and Propagation for Wireless Communication Systems, John Wiley & Sons, New York, 1999. [8] Bertoni, H. L., Radio Propagation for Modern Wireless Systems, Prentice Hall PTR, New Jersey, 2000. [9] Blaunstein, N., 12, Wireless Communication Systems, Hanbook of Engineering Electromagnetics, Edited by Rajeev Bansal, Marcel Dekker, NY, 2004. [10] Rappaport, T. S., Wireless Communications, New York, Prentice Hall PTR, 1996. [11] Leon-Garcia, A., Probability and Random Processes for Electrical Engineering, New York: Addison-Wesley Publishing Company, 1994. [12] Stark, H., and Woods J. W., Probability, Random Processes, and Estimation Theory for Engineers, New Jersey, Prentice Hall, 1994.

440 441 442

10 i=2

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Of course it s still okay to have paid links point to your site; they just need to be designated as such, typically by the rel=nofollow parameter, so that engines know to avoid considering them for algorithmic benefit.

FIGURE 11.22. Statistical analysis of long-scale slow fading along the radio path d for three components of the electromagnetic eld (i 1, 2, 3).

both theoretically and experimentally [46 60], the statistical distribution of slow signal variations, measured in decibels (dB), is very close to lognormal distribution As for this phenomenon, we described it in detail in 1 and also in this section using corresponding analytical presentation of the slow fading Experimental Veri cation of Rayleigh and Rician Laws for Fast Fading As in Reference [14], we based on Rician statistical distribution, because, as was mentioned in 1, the latter distribution is more general and covers the Rayleigh fast fading statistics Therefore, it can be successfully used for the analysis of signal fast fading both for close and for open xed radio links At the same time, rst Clarke [61] and Aulin [62], and later Ali Abdi with colleagues [63], have used Rayleigh statistics in their analysis of fast fading.

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To understand the accuracy of each distribution of fast fading phenomenon in built-up environments, we have carried out several experiments in various urban and suburban areas [15 27,44 49] About 3800 magnitudes of signal strength were collected, and then divided into three separate groups depending on the type of radio path and antenna elevations with respect to roofs of the buildings The rst group of signal outputs was measured at radio links with the obstructive conditions for the low elevated terminal antennas where there is no line-of-sight (NLOS) between the terminal antennas The second group of signal outputs was obtained for radio links where both LOS and NLOS conditions were observed between the terminal antennas In this case, one antenna (usually the base station antenna) was higher than rooftops The third group was obtained for radio links where only LOS conditions for radio signal were observed.

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