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Teletraffic Theory (master)
RAE555

Description
The study course covers the experimental systems in relation to telecommunications network systems. Within the framework of the study course students will discuss the network management and control methods. Students will be enabled to promote their understanding of the performance of real systems. Important part of the course is evaluation methods as well as current trends and problems in the context of Internet, mobile and broadband communications. 

Course contents:
  • Introduction. Objectives, tasks, methodology of the study course, learning outcomes.
  • Problem statement.  Overview of mode-driven architecture methodology: metamodels and models for telecom systems.
  • Traffic engineering: Overview of tasks, methods, tools and decision making methodology.
  • Traffic models: modeling, simulation, analysis and forecasting.
  • Routing algorithms: models, methods, simulation and evaluation of simulation results.
  • Queueing and Scheduling: algorithms and evaluation of algorithms.
  • Management and control of network resources: methods and their evaluation.
  • Admission Control in packet networks.
  • Traffic measurements: problem description, tasks, tools and methods of data preprocessing. 
  • Data mining in traffic engineering: tasks, methods, tools and results. 
  • Knowledge management in traffic engineering.
  • Conclusions. Advanced Topics.

ECTS credits
4

Teaching Language
English/Latviešu

Exam Language
English/Latviešu

Support Materials Language
English/Latviešu

Basic Learning Outcomes

Managing Entity (faculty)
Faculty of Computer Science, Information Technology and Energy (RTU)