Radio engineering


This course treats the subject of modern radio engineering and includes typical RF architectures and their characterizations, modeling, prediction and simulation of radio-wave propagation, cellular planning, systems-level aspects of modern radio network design.

 Teaching and Learning Methods : Lectures and Lab sessions (group of 2 students)

 Course Policies : Attendance to Lab session is mandatory.

  • The course will be based on part I and part II of the book "Wireless Communications" by Andreas Molisch (Wiley 2005).
  • Also check out for additional material. Solutions to the exercises in the book can be found File link : datas/teaching/courses/RADIO/solutions/Solutions_manual.pdf.
  • Supplementary reading: Simon Saunders, "Antennas and Propagation for Wireless Communication Systems", Wiley 1999.
  • An understanding of probability theory, random processes, and digital communications.
  • Some knowledge of Matlab is also beneficial for the lab sessions.
  • Introduction, history of mobile communications, technical requirements and limitations, and technical challenges.
  • Definition and revision of some basic terms, such as thermal noise, amplifiers, noise figure, receiver sensitivity, fading margin, path loss, link budget
  • Antennas and propagation
  • Propagation Measurements, Modelling and Simulation: Models for path loss, shadowing, multipath propagation. Time, frequency, and spatial properties of radio channels (MIMO).
  • Cellular Architectures : Link budget analysis, cellular coverage, duplexing strategies, multiple-access methods, network topologies, hand-over strategies.
  • Three practical lab sessions analyzing real measurements
  • A guest lecture on state-of-the art LTE network planning by Infovista, creator of the Mentum Planet tool is organized if possible

 Learning outcomes:

  • To be able to do a simple link budget analysis and planning of a wireless system
  • Know the technical limitations and possibilities when building a wireless system
  • Ability to analyze and interpret channel measurements
  • Know which channel model is adapted best to my requirements and how to implement it
  • Understand basic cell planning tools

Nb hours : 42.00, at least 3 Lab sessions (12 hours) 

Grading Policy : The better of the following two methods will be applied

Lab sessions: 25%, Mid-term exam: 25%, Final exam: 50%

Lab sessions: 25%, Final exam: 75%