Page 331 - Integrated Wireless Propagation Models

I n - B u i I d i n g ( P i c o c e I ) P r e d i c t i o n M o d e I s 309
I
(a) Lee model versus measured data of inter 1 floor non MMl-diffraction area
74 1 0 0
76 90

78 80
E 80
co 70
""0
c 82 60
.c �
0
g> 84 LL 50
� 0
0
� 86 40
<ll
c
� 88 30
90 20
92 1 0
94 0
0 0.5 1.5 0 5 1 0 1 5 20
Distance in Mdec Deviation in dB
(b) Lee model versus measured data of inter 1 floor diffraction area
84 1 0 0
0 ' Lee model
86 Measured data 90
88 0 80
E 70
co
""0 90
-� 60
.c 92 �
0
0, �
c LL 50
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Ui 94 0
(ii 40
c
Cl 96 �
i:7. 30
98 s 0 20
1 0 0 1 0
1 0 2 0
1.4 1.6 1.8 0 5 1 0 1 5 20
Distance in Mdec Deviation in dB
fiGURE 5.3.3.2.1 l n terfloor measured versus predicted.

5.3.4 Using Measured Data to Customize the Lee Model
In the previous work, for minimizing the deviation between the measurement and pre­
diction of the Lee model, we pick the best-fit values for the parameters in the Lee model
through a regression process. For example, in the same-floor case (i.e., single-floor case),
the receiver is not in the Fresnel zone but is under a NLOS path-loss case. The best-fit
values are used as follows.