The main aim of the present work has been to develop a
simulator to study WiMAX 802.16e performance. The use of
simulation tools in the planning of resources in radio systems
for mobile communications in general, and in particular in
WiMAX, is essential if it is to act as a way of predicting and
analyzing the performance of effective planning. Evaluating
the performance simulation of these systems has a key role in
the process of scaling at various planning stages.
The simulation tool developed can be characterized by
three successive stages, as illustrated in Figure II-1:
Configuration, Simulation and Analysis.
This simulator is based upon and greatly extends an existing
UMTS simulator [3]. The main changes made in the structure
of the simulator may be found in the Radio Prediction Module
and System Simulation Model. They have all been changed
owing to the fact that a different kind of technology is
involved. The Analysis Modules have been adapted so as to
assess the performance of WiMAX technology and a new
module has also been added to apply different algorithms to
the resource allocation, called the Scheduling Algorithms
module
Fig. 1: Characterization of the Simulation tool
simulator to study WiMAX 802.16e performance. The use of
simulation tools in the planning of resources in radio systems
for mobile communications in general, and in particular in
WiMAX, is essential if it is to act as a way of predicting and
analyzing the performance of effective planning. Evaluating
the performance simulation of these systems has a key role in
the process of scaling at various planning stages.
The simulation tool developed can be characterized by
three successive stages, as illustrated in Figure II-1:
Configuration, Simulation and Analysis.
This simulator is based upon and greatly extends an existing
UMTS simulator [3]. The main changes made in the structure
of the simulator may be found in the Radio Prediction Module
and System Simulation Model. They have all been changed
owing to the fact that a different kind of technology is
involved. The Analysis Modules have been adapted so as to
assess the performance of WiMAX technology and a new
module has also been added to apply different algorithms to
the resource allocation, called the Scheduling Algorithms
module
Fig. 1: Characterization of the Simulation tool
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