Urban Prediction Models

Comparison

 

Introduction

 
In the following, comparisons between urban prediction models for several scenarios are shown.

 

For the comparison, the following predictions models were used: A detailed comparison of these prediction models (also to several measurement campagins) can be found on the accuracy page.

 

Download a document with a comparison of urban prediction models.

Read more about the 3D Intelligent Ray Tracing.

Read more about the Urban Dominant Path Model.

Read more about the COST 231 Walfisch-Ikegami Model.

 

Scenario 1: Helsinki (Finland)
Size of predication area 1.2 km x 1.5 km = 1.8 kmē
Resolution 5 m
Pixels 72,000
Total number of buildings 228
Heights of topography no topography

 

  Urban Dominant Path Model 3D Ray Tracing COST 231 W.-I.
 
Accuracy high high limited

Computed results

 Signal Level (Path Loss)

 Signal Level (Path Loss)
Delay (Spread & Window)
Angular Spread
Impulse Response (complex, directional)

 Signal Level (Path Loss)
Propagation Paths Dominant Path Multiple Paths Over-rooftop in vertical plane

Preprocessing of Database

 not required once per database (several minutes, only IRT) not required

Prediction Time

less than one minute

IRT: less than one minute

SRT: several minutes

less than one minute

 

Scenario 2: Hong Kong (China)
Size of predication area 2 km x 2.6 km = 5.2 kmē
Resolution 10 m
Pixels 52,000
Total number of buildings 1403
Heights of topography 30 m to 460 m

 

  Urban Dominant Path Model 3D Ray Tracing COST 231 W.-I.
 
Accuracy high high limited

Computed results

 Signal Level (Path Loss)

 Signal Level (Path Loss)
Delay (Spread & Window)
Angular Spread
Impulse Response (complex, directional)

 Signal Level (Path Loss)
Propagation Paths Dominant Path Multiple Paths Over-rooftop in vertical plane

Preprocessing of Database

 not required once per database (several minutes, only IRT) not required

Prediction Time

some minutes

IRT: some minutes

SRT: several hours

less than one minute

 

Scenario 3: Munich (Germany)
Size of predication area 1.9 km x 2.8 km = 5.32 kmē
Resolution 10 m
Pixels 53,200
Total number of buildings 2087
Heights of topography 505 m to 521 m

 

  Urban Dominant Path Model 3D Ray Tracing COST 231 W.-I.
 
Accuracy high high limited

Computed results

 Signal Level (Path Loss)

 Signal Level (Path Loss)
Delay (Spread & Window)
Angular Spread
Impulse Response (complex, directional)

 Signal Level (Path Loss)
Propagation Paths Dominant Path Multiple Paths Over-rooftop in vertical plane

Preprocessing of Database

 not required once per database (several minutes, only IRT) not required

Prediction Time

some minutes

IRT: some minutes

SRT: several hours

less than one minute