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 />
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 />
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