16.11.2012 Views

Wireless Network Design: Optimization Models and Solution ...

Wireless Network Design: Optimization Models and Solution ...

Wireless Network Design: Optimization Models and Solution ...

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

3 Channel <strong>Models</strong> for <strong>Wireless</strong> Communication Systems 55<br />

3.4.4 Finite Impulse Response Channel Model for Frequency<br />

Selective Fading Channels<br />

In most cases, the receiver receives multiple copies of attenuated <strong>and</strong> delayed copies<br />

of the transmitted signal. At the baseb<strong>and</strong> level, the channel response can be modeled<br />

as a linear system where the transfer function is characterized by a Finite Impulse<br />

Response (FIR) with L − 1 multipaths, given by<br />

h(n) =<br />

L−1<br />

∑ αl δ(n − τl) (3.16)<br />

l=0<br />

where αl is modeled as a r<strong>and</strong>om co-efficient with a certain probability density<br />

function <strong>and</strong> τl is the delay of the lth multipath, which need not be uniform.<br />

Assuming that this FIR channel is ‘constant’ for a certain period of time, the<br />

channel behaves like an FIR filter. The transfer function of this channel, H(z), is<br />

a finite length polynomial. In the frequency domain, H( f ) will have a response<br />

which will indicate the attenuation, the filter offers, to various frequencies. It implies<br />

that some frequencies of the signal could suffer heavy attenuation, indicating the<br />

frequency selective nature of the channel. If the zeros of H(z) are on the unit circle,<br />

then the channel would null the frequency component in the signal, causing loss of<br />

valuable information. In the case of flat fading channels, it is equivalent to a singletap<br />

FIR channel <strong>and</strong> all frequencies of the signal suffer the same attenuation. The<br />

following tables give the details about the impulse response coefficients for different<br />

indoor scenarios. The Doppler spectrum is assumed to be the classic spectrum for<br />

the outdoor scenario.<br />

Table 3.2 Impulse response coefficients for two types of wireless indoor channels<br />

Tap Channel A Channel A Channel B Channel B<br />

Relative Relative Relative Relative<br />

Delay(ns) Avg Pwr(dB) Delay (ns) Avg Pwr (dB)<br />

1 0 0 0 0<br />

2 50 -3.0 100 -3.6<br />

3 110 -10.0 200 -7.2<br />

4 170 -18.0 300 -10.8<br />

5 290 -26.0 500 -18.0<br />

6 310 -32.0 700 -25.2<br />

3.4.5 Delay Spread Parameters<br />

Average Delay: The average path delay is defined as τavg = ∑ L−1<br />

l=0 |αl| 2 τl. The Root<br />

Mean Square Delay (RMS Delay), τrms is given by

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!