16.03.2015 Views

WINNER II pdf - Final Report - Cept

WINNER II pdf - Final Report - Cept

WINNER II pdf - Final Report - Cept

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.

<strong>WINNER</strong> <strong>II</strong> D1.1.2 V1.2<br />

Figure 4-1 Channel coefficient generation procedure<br />

It has to be noted, that the geometric description covers arrival angles from the last bounce scatterers and<br />

respectively departure angles to the first scatterers interacted from the transmitting side. The propagation<br />

between the first and the last interaction is not defined. Thus this approach can model also multiple<br />

interactions with the scattering media. This indicates also that e.g. the delay of a multipath component can<br />

not be determined by the geometry.<br />

General parameters:<br />

Step 1: Set the environment, network layout and antenna array parameters<br />

Large scale parameters:<br />

a. Choose one of the scenarios (A1, A2, B1,…)<br />

b. Give number of BS and MS<br />

c. Give locations of BS and MS, or equally distances of each BS and MS and relative<br />

directions φ LOS and ϕ LOS of each BS and MS<br />

d. Give BS and MS antenna field patterns F rx and F tx , and array geometries<br />

e. Give BS and MS array orientations with respect to north (reference) direction<br />

f. Give speed and direction of motion of MS<br />

g. Give system centre frequency<br />

Step 2: Assign the propagation condition (LOS/NLOS) according to the probability described in Table<br />

4-7.<br />

Step 3: Calculate the path loss with formulas of Table 4-4 for each BS-MS link to be modelled.<br />

Step 4: Generate the correlated large scale parameters, i.e. delay spread, angular spreads, Ricean K-factor<br />

and shadow fading term like explained in section 3.2.1 (Correlations between large scale parameters).<br />

Small scale parameters:<br />

Step 5: Generate the delays τ.<br />

Delays are drawn randomly from the delay distribution defined in Table 4-5. With exponential delay<br />

distribution calculate<br />

' = −r<br />

ln , (4.1)<br />

τ<br />

τσ<br />

( )<br />

n τ<br />

X n<br />

where r τ is the delay distribution proportionality factor, σ τ is delay spread, X n ~ Uni(0,1) and cluster<br />

index n = 1,…,N. With uniform delay distribution the delay values τ n ’ are drawn from the<br />

corresponding range. Normalise the delays by subtracting with minimum delay and sort the<br />

normalised delays to descending order.<br />

Page 38 (82)

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

Saved successfully!

Ooh no, something went wrong!