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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 />

6. Channel Model Implementati<strong>on</strong><br />

The purpose of this chapter is to discuss issues c<strong>on</strong>cerning implementati<strong>on</strong> of the WINNER <strong>channel</strong><br />

model.<br />

6.1 Overview for implementing the model<br />

WINNER <strong>channel</strong> model needs as an input the general informati<strong>on</strong> like <strong>channel</strong> scenario <strong>and</strong> MIMO<br />

setup, antenna c<strong>on</strong>figurati<strong>on</strong>s like radiati<strong>on</strong> patterns <strong>and</strong> array geometries <strong>and</strong> <strong>system</strong> layout informati<strong>on</strong><br />

like relative distances <strong>and</strong> orientati<strong>on</strong>s of the transceivers. Output of the model is a set of discrete <strong>channel</strong><br />

impulse resp<strong>on</strong>ses with matrix coefficients (see eq 3.26). Entries of the matrices are complex <strong>channel</strong><br />

coefficients for each transmitter receiver antenna element pairs. Channel impulse resp<strong>on</strong>ses are<br />

realisati<strong>on</strong>s of the radio <strong>channel</strong> for discrete time instants <strong>and</strong> for different radio <strong>link</strong>s.<br />

6.1.1 Time sampling <strong>and</strong> interpolati<strong>on</strong><br />

Channel sampling frequency has to be finally equal to the simulati<strong>on</strong> <strong>system</strong> sampling frequency. To have<br />

feasible computati<strong>on</strong>al complexity it is not possible to generate <strong>channel</strong> realisati<strong>on</strong>s <strong>on</strong> the sampling<br />

frequency of the <strong>system</strong> to be simulated. The <strong>channel</strong> realisati<strong>on</strong>s have to be generated <strong>on</strong> some lower<br />

sampling frequency <strong>and</strong> then interpolated to the desired frequency. A practical soluti<strong>on</strong> is e.g. to generate<br />

<strong>channel</strong> samples with sample density (over-sampling factor) two, interpolate them accurately to sample<br />

density 64 <strong>and</strong> to apply zero order hold interpolati<strong>on</strong> to the <strong>system</strong> sampling frequency. Channel impulse<br />

resp<strong>on</strong>ses can be generated during the simulati<strong>on</strong> or stored <strong>on</strong> a file before the simulati<strong>on</strong> <strong>on</strong> low sample<br />

density. Interpolati<strong>on</strong> can be d<strong>on</strong>e during the <strong>system</strong> simulati<strong>on</strong>.<br />

6.1.2 Coordinate <strong>system</strong><br />

System layout in the Cartesian coordinates is for example the following:<br />

Figure 6.1: System layout of multiple base stati<strong>on</strong>s <strong>and</strong> mobile stati<strong>on</strong>s.<br />

All the BS <strong>and</strong> MS have (x,y) coordinates. MS <strong>and</strong> cells (sectors) have also array broad side orientati<strong>on</strong>,<br />

where north (up) is the zero angle. Positive directi<strong>on</strong> of the angles is the clockwise directi<strong>on</strong>.<br />

Table 6.1: Transceiver coordinates <strong>and</strong> orientati<strong>on</strong>s.<br />

Tranceiver Co-ordinates Orientati<strong>on</strong> [°]<br />

Page 135 (167)

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