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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 />

3.1.6.1 Scenario A1<br />

3.1.6.2 Scenario B1<br />

⎧<br />

1 d ≤ 2.5m<br />

⎪<br />

P = ⎨<br />

1 − 0.9( 1 − ( 1.24 − 0.61log )<br />

3<br />

) 13<br />

10( d) d > 2.5m<br />

⎪⎩<br />

⎧1 d ≤ 15m<br />

⎪<br />

P = ⎨ 3<br />

1 ( 1 ( 1.56 0.48log ( ))<br />

) 13<br />

⎪ − − −<br />

10<br />

d d > 15m<br />

⎩<br />

(3.20)<br />

(3.21)<br />

where<br />

d = d + d , <strong>and</strong> d 1 <strong>and</strong> d 2 are like in Table 2.9.<br />

2 2<br />

1 2<br />

3.1.6.3 Scenario B3<br />

For the big factory halls, airport <strong>and</strong> train stati<strong>on</strong>s:<br />

⎧1,<br />

d < 10m<br />

P LOS<br />

= ⎨<br />

(3.22)<br />

⎩exp(<br />

−(<br />

d −10) / 45)<br />

For big lecture hall or c<strong>on</strong>ference hall:<br />

⎪<br />

⎧ 1, d < 5m<br />

P LOS<br />

= ⎨ d − 5<br />

(3.23)<br />

1−<br />

,5 m < d < 40 m<br />

⎪⎩ 150<br />

3.1.6.4 Scenario C1<br />

d[m]<br />

P = exp( − )<br />

(3.24)<br />

500m<br />

3.1.6.5 Scenario C2<br />

For scenario C2, <strong>on</strong>ly NLOS is c<strong>on</strong>sidered. In this case P(LOS) = 0.<br />

3.1.6.6 Scenario D1<br />

3.1.7 Generati<strong>on</strong> of <strong>channel</strong> coefficients<br />

d[m]<br />

P = exp( − )<br />

(3.25)<br />

1000m<br />

The generati<strong>on</strong> of <strong>channel</strong> parameters is performed per <strong>channel</strong> segment. During each <strong>channel</strong> segment<br />

the AoAs <strong>and</strong> AoDs, <strong>and</strong> delays of each ZDSC are fixed while the <strong>channel</strong> goes through fast fading<br />

according to the virtual moti<strong>on</strong> of the MS, which has a velocity vector v. The assumed <strong>system</strong> has S<br />

antennas at the transmitter side <strong>and</strong> U antennas at the receiver side. The WINNER generic <strong>channel</strong> model<br />

is a geometric-based stochastic model. There are a large number of r<strong>and</strong>om variables that are incorporated<br />

in the modelling approach. Hence, many parameters must be fixed within the simulati<strong>on</strong> run to make the<br />

computati<strong>on</strong> time feasible. These parameters may differ from <strong>on</strong>e scenario to another. For instance the<br />

ZDSC angle-spread ( AS or AS ) is fixed for all departure <strong>and</strong> arrival ZDSCs but may have different<br />

φ<br />

ϕ<br />

angles. These parameters represent some of the characteristics of different scenarios.<br />

To obtain MIMO <strong>channel</strong> coefficients the following steps are followed:<br />

1) Select <strong>on</strong>e of the scenarios to be simulated: A1, B1, B3, C1, C2, or D1.<br />

2) Assign locati<strong>on</strong>s of transmitters (BS), receivers (MS), separating distance <strong>and</strong> their antenna<br />

orientati<strong>on</strong>s. The orientati<strong>on</strong> of MS antenna is drawn from iid uniform distributi<strong>on</strong> U(0 o ,360 o ).<br />

Assign velocity vector to each MS. Assign LOS situati<strong>on</strong> to each locati<strong>on</strong> according to the<br />

probability.<br />

3) Calculate the path loss associated with transmitter-receiver of every MS <strong>and</strong> every BS if needed.<br />

4) Generate the vector ?( x, y)<br />

in the points i<br />

yi<br />

−1<br />

0.5<br />

obtain the large-scale parameters as R ?( x, y)<br />

x , where MSs are located, see Secti<strong>on</strong> 6.1.3. Then<br />

( µ )<br />

g +<br />

, the parameters can be found in the<br />

Page 27 (167)

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