3G Simulation Approaches

Coverage and Capacity Prediction for 3G Network Planning

Introduction

 

The basic problem in 3G network planning is the prediction of coverage and capacity for a given network layout. The well known mutual influence between these two measures due to the interference limited characteristic of 3G networks and the great flexibility of different services makes this task much more complex compared to 2G network planning. We provide different simulation approaches, depending on your needs.

Different Simulation Approaches

 

In the following three differen simulation approaches are presented:

 

 
Static Simulation
Monte Carlo Simulation
Dynamic Simulation
Description
Fast approach based on statistical analysis and continuous mobile terminal distribution, suitable for large network scenarios or a first rough planning phase.
Generation of many discrete mobile terminal distributions and evaluation of the network performance in a statistical manner.
Generation of discrete mobile stations according to arrival and ending processes and simulation of the network behavior over time with slot resolution. This includes the fast power control algorithm, the movement of the mobile terminals and cell changes.
Example
Continuous UE distribution
Distributed mobile terminals
(fractional)
Monte Carlo UE distribution
Random distributions of mobiles
Dynamic UE Distribution
Time continuous simulation
(incl. mobility)
Environments
Rural
Urban
Indoor
Rural
Urban
Indoor
Rural
Urban
Indoor
Propagation Models
all models
all models
all models
Mobile Terminals
continuous UE distribution
(fractional UE)
random UE constellation
random arrival process
+ mobility model
Soft Handover
not considered for capacity
but SHO areas can be displayed
not considered yet
modeled explicitly
Fast Power Control
not considered
not considered
modeled explicitly
(incl. errors)
Service definition
results given for one service
arbitrary number of services
(service mix)
arbitrary number of services
(service mix)
LLS interface
Eb/No targets
Eb/No targets
Eb/No targets (for CS)
BLER(SNIR) (for PS)
CDMA orthogonality
constant OF
constant OF
OF dep. on LOS/NLOS
OF depending on CIR
constant OF
OF dep. on LOS/NLOS
OF depending on CIR
Traffic definition
homogeneous or
based on Clutter Data
homogeneous or
based on Clutter Data
homogeneous or
based on Clutter Data
Packet Switched Traffic
modeled via activity factor
(reduced bitrate)
modeled via activity factor
(reduced bitrate)
configurable packet generator
transmission of individual packets
Common Channels
definition of several
CCH possible
definition of several
CCH possible
definition of several
CCH possible
Repeater
-
-
considered
Output Maps
coverage map
cell area map
BS power map
CCH C/I
SHO map
-
coverage map
cell area map
BS power map
MS power map
CCH C/I
SHO map
Output Statistical
capacity (statistical)
coverage (statistical)
capacity (statistical)
Carried/Offered Traffic
blocking/dropping rates
PS Statistics
-
-
Histograms for:
packet delay
sector throughput
page throughput
transmission powers
code allocations
Further Information
Static Approach
Monte Carlo Approach
Dynamic Approach

 

 

Contact AWE Communications Support Team 

Read more about the
Static  Simulation Approach

Read more about the Monte Carlo Simulation
Approach

Read more about the Dynamic Simulation Approach

 

Propagation Models

The important interaction between neighboring cells in terms of interference demands for advanced propagation models depending on the current environment. We provide a variety of propagation models for different scenarios and all these models interact with he network planning module.
Please have a look at our propagation pages.

Application Areas 

To get more information about the usage of the 3G simulation tools in different application areas you may have a look at the following links:

Demo project


All possible results to be obtained with the 3G network simulators can be seen on the sample project page.