Final report on link level and system level channel models - Winner
Final report on link level and system level channel models - Winner
Final report on link level and system level channel models - Winner
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WINNER D5.4 v. 1.4<br />
( ) { }<br />
P φ = LE p| φ f( φ)<br />
(4.18)<br />
( ) { }<br />
P θ = LE p| θ f( θ)<br />
(4.19)<br />
( ) { }<br />
P ϕ = LE p| ϕ f( ϕ)<br />
(4.20)<br />
( ) { }<br />
where E{ p|<br />
τ }, E{ p|<br />
φ } , E{ p|<br />
θ }, E{ p|<br />
ϕ } , <strong>and</strong> { | }<br />
P ϑ = LE p| ϑ f( ϑ)<br />
, (4.21)<br />
E p ϑ are the expected power of the<br />
multipath comp<strong>on</strong>ents c<strong>on</strong>diti<strong>on</strong>ed <strong>on</strong> their delays, azimuth departure angle, elevati<strong>on</strong> departure angle,<br />
azimuth arrival angle, elevati<strong>on</strong> arrival angle, respectively.<br />
4.1.4.1.1 Expected power c<strong>on</strong>diti<strong>on</strong>ed <strong>on</strong> delay<br />
The estimated expected power of multipath comp<strong>on</strong>ents c<strong>on</strong>diti<strong>on</strong>ed <strong>on</strong> delays can be obtained from<br />
(4.17) as:<br />
{ } ( )<br />
E p| τ ∝ P τ / f( τ)<br />
. (4.22)<br />
In order to make the c<strong>on</strong>cept of the generic <strong>channel</strong> model approach clear, we can think of the case when<br />
both P ( τ ) <strong>and</strong> f ( τ ) are exp<strong>on</strong>ential decaying functi<strong>on</strong>s. The <strong>on</strong>e-side exp<strong>on</strong>ential decaying functi<strong>on</strong><br />
P τ is expressed as:<br />
that describes the ( )<br />
where<br />
P<br />
( τ )<br />
( −τ<br />
σ ),<br />
⎧ exp<br />
τ<br />
for τ > 0<br />
⎪<br />
∝ ⎨<br />
⎪<br />
⎩0,<br />
otherwise<br />
(4.23)<br />
σ<br />
τ is the RMS delay spread. The exp<strong>on</strong>ential functi<strong>on</strong> that describes the probability density<br />
f τ is expressed as:<br />
f τ ∝ exp −τ<br />
~<br />
, (4.24)<br />
functi<strong>on</strong> of the delays ( )<br />
where<br />
σ ~<br />
τ<br />
( ) ( )<br />
is st<strong>and</strong>ard deviati<strong>on</strong> of the path delays. Hence, the expected power c<strong>on</strong>diti<strong>on</strong>ed <strong>on</strong> delay<br />
(4.25) can be written as:<br />
Now, let us define a parameter r τ as follows:<br />
use (4.26) in (4.25), we get:<br />
σ τ<br />
⎛ σ%<br />
τ<br />
−σ<br />
⎞<br />
τ<br />
Pn<br />
= E{ p| τ}<br />
∝exp<br />
⎜−τ ⎟. (4.25)<br />
⎝ σσ %<br />
τ τ ⎠<br />
σ ~<br />
τ<br />
r<br />
τ<br />
=<br />
(4.26)<br />
στ<br />
⎛ rτ<br />
−1⎞<br />
Pn<br />
= E{ p| τ}<br />
∝exp⎜−τ<br />
⎟<br />
⎝ rτσ<br />
τ ⎠ . (4.27)<br />
Thus, the expected power of multipath comp<strong>on</strong>ents c<strong>on</strong>diti<strong>on</strong>ed <strong>on</strong> delay depends <strong>on</strong> the RMS delay<br />
spread <strong>and</strong> the parameter that describes the ratio between the path delays st<strong>and</strong>ard deviati<strong>on</strong> <strong>and</strong> the RMS<br />
delay spread.<br />
For the case when P ( τ ) is exp<strong>on</strong>ential as in (4.24) <strong>and</strong> the f ( τ ) is uniform U ( 0,<br />
τ )<br />
power c<strong>on</strong>diti<strong>on</strong>ed <strong>on</strong> delay (4.22) can be written as:<br />
Pn<br />
4.1.4.1.2 The power azimuth-delay spectrum<br />
max<br />
, the expected<br />
⎛ τ ⎞<br />
= E{ p| τ}<br />
∝exp⎜−<br />
⎟<br />
⎝ στ<br />
⎠ , τ ≤ τ<br />
max<br />
(4.28)<br />
We will focus our discussi<strong>on</strong> <strong>on</strong> azimuth angles at both transmitter <strong>and</strong> receiver. Now, we call the double-<br />
P φ , ϕ,<br />
τ <strong>and</strong> its corresp<strong>on</strong>ding<br />
directi<strong>on</strong>al-delay spectrum as the double-azimuth-delay spectrum, i.e., ( )<br />
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