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 />
5.4.5 Distributi<strong>on</strong> of the azimuth angles of the multipath comp<strong>on</strong>ents<br />
The distributi<strong>on</strong> of the azimuth angle of arrivals <strong>and</strong> angle of departure for both LOS <strong>and</strong> NLOS<br />
propagati<strong>on</strong> c<strong>on</strong>diti<strong>on</strong>s are calculated. Those results are based <strong>on</strong> superresoluti<strong>on</strong> path parameter<br />
estimati<strong>on</strong>s or the beamform method. CDFs are presented as well as characteristic parameters as 10%,<br />
50%, 90% <strong>and</strong> mean of the distributi<strong>on</strong> are extracted.<br />
5.4.5.1 Scenario B1<br />
The azimuth angle of arrivals at the MS (receive) <strong>and</strong> angle of departure from the BS (transmitter) for<br />
both LOS <strong>and</strong> NLOS propagati<strong>on</strong> c<strong>on</strong>diti<strong>on</strong>s has been extracted from measurement data using<br />
beamforming techniques. It was noted that for LOS c<strong>on</strong>diti<strong>on</strong>s there are two propagati<strong>on</strong> mechanisms that<br />
take place for signals arrive the MS. The forward propagati<strong>on</strong>, i.e., direct propagati<strong>on</strong> directi<strong>on</strong> from BS<br />
to the MS, <strong>and</strong> the backscattering for signals that travel bey<strong>on</strong>d the MS <strong>and</strong> scatter back to the MS from<br />
the opposite directi<strong>on</strong>. These two sources of arriving signals at the MS make the modelling of the azimuth<br />
arrivals to be different. Figure 5.36 shows the cumulative probability distributi<strong>on</strong> functi<strong>on</strong> of arrival<br />
angles at the MS from both directi<strong>on</strong>s. The logistic <strong>and</strong> normal distributi<strong>on</strong>s are closer in fitting with<br />
measurement data from that with Laplacian distributi<strong>on</strong> for signals that arrive due to backscattering. In<br />
the forward propagati<strong>on</strong> case, the normal distributi<strong>on</strong> is not in good fit with measurements data. Laplacian<br />
distributi<strong>on</strong> is not in an excellent fitting with measurements but closer. For angle of departure from the<br />
BS to both LOS <strong>and</strong> NLOS cases the logistic <strong>and</strong> Laplacian are in better agreement with measurement<br />
data compared to normal distributi<strong>on</strong> as can be seen in Figure 5.37.<br />
(a) DoA due to Backscattering propagati<strong>on</strong><br />
(b) DoA from forward propagati<strong>on</strong>.<br />
Figure 5.36: Azimuth directi<strong>on</strong> of arrivals of multipath comp<strong>on</strong>ents in LOS cases.<br />
(a) DoD LOS case<br />
(b) DoD NLOS case.<br />
Figure 5.37: Azimuth directi<strong>on</strong> of departure of multipath comp<strong>on</strong>ents in LOS <strong>and</strong> NLOS cases.<br />
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