Introduction to stochastic modeling of modern wireless technologies


Dmitri Molchanov


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Aims of the course

The aim of this course is to get students familiar with tools and methodologies for performance evaluation and optimization of modern and future wireless systems including 4G+ and 5G ones. The course consists of two parts, where the first one is devoted to the technological aspects of modern and future systems while the second one is targeted to the methodologies available for their performance assessment.


After passing the course a student

  • has an improved technical English allowing to read scientific paper without a dictionary;
  • can describe the evolution of cellular systems to 5G one;
  • can identify the critical choice made for each evolutionary step;
  • can describe the generic structure of modern 4G and 4G+ systems;
  • can identify the building blocks of future 5G systems;
  • is familiar with the specifics of EHF and THF frequency bands;
  • can read and understand the content of scientific paper written in English;
  • is familiar with the modern tools used for performance assessment of 4G+/5G systems;
  • is familiar with critical performance metrics of interest in wireless networks;
  • can build models of various technological aspects of 4G/5G systems.

Core questions

  • what was the evolution path towards 5G systems?
  • what is the current technological state of cellular networks?
  • what building blocks 5G system will consist of?
  • what are the main performance metrics in wireless systems?
  • what is the Heterogenous Network concept?
  • what are the core ideas behind D2D, M2M, IoT technologies?
  • why do we need stochastic geometry for performance assessment of 5G systems?
  • what is the role of mobility in performance degradation?

Implementation in brief

The course is implemented during the fall semester of 2017. Students work individually and in small groups on their contact education days, in other small group meetings and online. A group project is implemented at the end of the course.

Course content

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