Skip to main content

Table 4 RSL comparison of RSL the models

From: Classified 3D mapping and deep learning-aided signal power estimation architecture for the deployment of wireless communication systems

\((Object)_{Locs}(m)\)

\(RSL_{SPPL}[dBm]\)

\(RSL_{FS}[dBm]\)

\(RSL_{LN}[dBm]\)

\(RSL_{Cost231}[dB]\)

\(RSL_{MES}[dBm]\)

12 m

−61.54

−58.07

−68.88

−67.86

−60.02

33 m

−71.42

−66.86

−79.91

−83.34

−76.8

39 m

−73.95

−68.31

−81.62

−85.89

−80.4

52 m

−77.54

−70.81

−84.65

−90.29

−82.38

177 m

−89.26

−81.45

−97.62

−109.03

−92.53

183 m

−90.64

−81.74

−97.91

−109.54

−93.52

191 m

−92.10

−82.11

−98.67

−110.20

−94.64

206 m

−92.75

−82.76

−99.50

−111.35

−95.98

MAPE(%)

3.95%

11.53%

6.08%

15.26%

NA