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Wireless Network Design: Optimization Models and Solution ...

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50 K. V. S. Hari<br />

fading is calculated based on the number of rays <strong>and</strong> the distance the rays travel.<br />

In addition, the angles of arrival (AOA), <strong>and</strong> Doppler spread are characterized<br />

using the information about array geometry. The channel is then numerically<br />

simulated <strong>and</strong> compared with measurements obtained through experiments to<br />

validate the models.<br />

3.4.1 Experiments to Characterize <strong>Wireless</strong> Channels<br />

<strong>Wireless</strong> channels are characterized by conducting experiments [5, 6, 8, 9, 11, 14,<br />

15, 17, 26, 27, 29, 35, 38, 39, 40, 47, 49] where real transmitters <strong>and</strong> receivers are<br />

used to measure the received signal characteristics. Outdoor <strong>and</strong> Indoor measurements<br />

are carried out for different terrain conditions, different weather conditions<br />

etc, to collect data for modeling.<br />

3.4.1.1 Path Loss <strong>Models</strong><br />

Path loss is defined as the difference in power levels (in dB) of the received signal<br />

<strong>and</strong> the transmitted signal due to the overall effect of ‘path’ or distance between<br />

the transmitter <strong>and</strong> receiver. The path loss for a line-of-sight (LOS) scenario where<br />

free-space path loss is assumed, is given by<br />

PL(dB) = 32.44 + 20log 10 ( fc) + 20log 10 (d) (3.1)<br />

where d is the distance between the transmitter <strong>and</strong> receiver in km, fc is the frequency<br />

of operation in MHz. It may be observed that the path loss increases with<br />

frequency <strong>and</strong> distance. Some terrain locations provide additional path loss due to<br />

large structures (hills, buildings etc) which is called the shadow fading loss.<br />

In the case of a multi-path fading environment <strong>and</strong> shadowing, several experiments<br />

were carried out by Okumura [51] <strong>and</strong> the data was later analyzed by Hata<br />

[19] to develop path loss models characterizing the statistical nature of the channel.<br />

The mean path loss is usually obtained using curve fitting techniques. In the<br />

logarithmic domain, these models tend to be linear as a function of distance. As an<br />

example, some of the models for different terrains proposed by Hata are given below<br />

(Note: All path loss models need to be used with caution. If the equation yields a<br />

loss less than the free-space path loss, one must use the free-space path loss value.)<br />

Typical Urban<br />

PL(dB) = 69.55 + 26.16log 10 fc<br />

= (44.9 − 6.55log 10 hb)log10d − 13.82log 10 hb − a(hm)<br />

(3.2)<br />

where fc is the carrier frequency in MHz, d is the distance in km, hb is the height<br />

of the base-station in meters, <strong>and</strong> a(hm) is a correction term for the receiver antenna<br />

height (hm) given by

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