3G Simulation Approaches

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	Distributed mobile terminals (fractional)	Random distributions of mobiles	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

	Read more about the Static Simulator
	Read more about the Monte Carlo Simulator
	Read more about the Dynamic Simulator

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.