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Wireless Network Design: Optimization Models and Solution ...

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

terms have been proposed [11]. The path loss model (in dB) with the correction<br />

terms would be<br />

PLmodi f ied = PLa + ∆PL f + ∆PLh<br />

where ∆PL f (in dB) is the frequency correction term given by<br />

(3.9)<br />

∆PL f = 6log( f /2000) (3.10)<br />

where f is the frequency in MHz, <strong>and</strong> ∆PLh (in dB) is the receive antenna height<br />

correction term given by ∆PLh = −10.8log(h/2) for Categories A <strong>and</strong> B <strong>and</strong><br />

∆PLh = −20log(h/2) for Category C h is the receive antenna height between 2<br />

m <strong>and</strong> 10 m.<br />

Path Loss <strong>Models</strong> for indoor stationary/low-mobility applications: As an example,<br />

if the transmitter <strong>and</strong> receiver are both indoors, the indoor path loss model (dB)<br />

for the ITU M.1225 model is based on the COST 231 model[1, 2] <strong>and</strong> is given<br />

below.<br />

( n+2<br />

PL(dB) = 37 + 30log10 d + 18.3n n+1 −0.46)<br />

(3.11)<br />

where d(m) is the transmitter-receiver separation <strong>and</strong> n is number of floors in the<br />

path. A log-normal shadow fading st<strong>and</strong>ard deviation of 12 dB can be expected in<br />

such an environment.<br />

Similarly, for the case where the receiver is indoor <strong>and</strong> the transmitter is indoor,<br />

the path loss model is given by<br />

PL(dB) = 40log 10 d + 30 log 10 f + 49 (3.12)<br />

where d(km) is the transmitter-receiver separation <strong>and</strong> f is in the 2GHz b<strong>and</strong>. The<br />

model can be modified to include the antenna system parameters <strong>and</strong> expressed as<br />

PL(dB) = 40(1 − 0.004∆hb)log 10 d − 18log 10 ∆hb + 21log 10 f + 80 (3.13)<br />

where d(km) is the transmitter-receiver separation, ∆hb is the base station antenna<br />

height (m) measured from the average rooftop level (0 ≤ ∆hb ≤ 50), f is in the<br />

2GHz b<strong>and</strong>.<br />

3.4.2 Rayleigh <strong>and</strong> Ricean Flat Fading Channels<br />

The analysis of experimental data led to the modeling of a wireless channel as a<br />

r<strong>and</strong>om process. The fact that the signal is a superposition of several faded signals<br />

<strong>and</strong> the use of the central limit theorem leads to the modeling of the channel as a<br />

Gaussian r<strong>and</strong>om process.<br />

Rayleigh channel: The amplitude of a channel which is modeled as a zero mean<br />

complex Gaussian r<strong>and</strong>om process has a Rayleigh distribution. Such channels are<br />

called Rayleigh channels <strong>and</strong> occur when there is a non-line-of-sight (NLOS) com-

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