Level
Introductory
2 days
Type
Instructor-led, classroom-based training. Students will complete hands-on labs throughout the course.
Prerequisites
Introduction to Modeler or 3 months experience with Modeler, familiarity with OPNET process models, and familiarity with C/C++ programming
Description
Through labs and lecture, Modeler's more sophisticated features are taught. This includes a methodology on how to create a process model from the ground up, dynamically creating and destroying processes during a simulation, and optimizing the performance of Discrete Event Simulations. There are sections that focus on wireless studies, such as a detailed analysis of the wireless transceiver pipeline, and improving the scalability of wireless simulations.
Agenda
Day 1- Process modeling methodology
- Dynamic processes
- Modeling custom wireless effects
Day 2
- Defining and measuring simulation performance
- General optimization of DES models
- Finding performance bottlenecks
- Scalable wireless network modeling
- Traffic modeling approaches