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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 />

Page 46 (167)

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