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. 2022 Jun 15;22(12):4524. doi: 10.3390/s22124524

Table 1.

State-of-the-art related works on path-loss models in tunnel environments.

Type Methods Models Pros and Cons Ref.
Straight
tunnel
Fit measurement results
using regression method
FI model Low complexity
Insufficient accuracy
[21]
Superpose multiple modes in both near and far region Multimode model High accuracy
Limited applicability
[22]
Calculate Per-ray cone angle Improved RT model High accuracy
Low computational
efficiency
[23]
Extract rectangular waveguide model using VPE Mixed model based on
waveguide and VPE
Reduced complexity
Limited Validity
[24,25]
Curved
tunnel
Introduce a break point
distance into the CI model
Improved CI model High accuracy
Less stability
[26]
Divide propagation region into LOS and NLOS Two-slope model Realistic scenario
Large deviation
[27]
Define the break point between two waveguiding effects Improved FI model with break point High accuracy
Calculations of break
point required
[28]
Estimate the main effects of the curvature on multimode Mixed model based on waveguide and RT Low complexity
Insufficient accuracy
[29]
Combine RT method with neural network Improved RT model High applicability
High complexity
[30]
Cascaded
tunnel
Fit measurement results
using regression method
CI model Low complexity
Insufficient accuracy
[31]
Reconstruct a high-precision 3D model of measurement tunnel RT model High accuracy
High-precision 3D
model required
[32]
Divide space into segments to solve stability constraint Improved FDTD
model
High accuracy
high complexity
[33]