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Modelling and Simulation of Mobile Radio Systems

Objectives:

In this lecture, the fundamental methods for modelling and simulation of mobile radio systems are imparted. Based on this, knowledge in the field of statistical methods for the generation of random numbers and random processes as well as in the field of the description of radio channel and user behaviour especially important for mobile radio systems will be built.

 

Contents:

  • Introduction
  • Methods for modelling and simulation
  • Monte Carlo simulation and generation of random numbers
  • Simulation of transmit and receive systems
  • Modelling of mobile radio channels
  • Traffic modelling
  • Mobility modelling
  • Case study

 

An English version of the script is available.

 

Lecturer: Prof. Thomas Kürner

Assistent: Johannes Eckhardt

 

Lecture (ET-NT-032)

Contact hours (SWS): 2 h

Time: Mo 09:00-12:00 / Wed 09:45-11:15

Location: R232B / SN22.2

Start: 17th of April 2019

Language: German

 

Accompanying material

Lecture notes are available on stud.IP. The password will be announced in the first lecture.

 

Latest News

 

17.04.2019 09:45 - 11:15 lecture, SN22.2

24.04.2019 09:45 - 11:15 lecture, SN22.2

08.05.2019 09:45 - 11:15 lecture, SN22.2

22.05.2019 09:45 - 11:15 lecture, SN22.2

27.05.2019 09:00 - 12:00 lecture, R232B

29.05.2019 09:45 - 11:15 lecture, SN22.2

03.06.2019 09:00 - 12:00 lecture, R232B

05.06.2019 09:45 - 11:15 lecture, SN22.2

26.06.2019 09:45 - 11:15 lecture, SN22.2

01.06.2019 09:00 - 12:00 lecture, R232B

03.07.2019 09:45 - 11:15 lecture, SN22.2

10.07.2019 09:45 - 11:15 lecture, SN22.2

 

 

 

Examination

Examination type: oral

Examination dates: 19th July, 30th August und 24th September 2019

Time: to be announced  2-3 days before the examination by e-mail

Location: room 205

Consultation hour (questions about exam): by agreement with

 

Information about exam: 

All students have to bring along their student ID and a valid photo identification.

For the examination, students are requested to register either by phone or personally to Petra Beyer but no later than 1 week before the exam date. The following information is necessary: name, first name, matriculation no., course of study, semester, e-mail address. 

In case you need to cancel your registration, please inform Petra Beyer. Please sign off no later than 5 days before the requested exam date. Do not forget to sign in/off at your university department (faculty) as well.

 
 

Updated: Tuesday, 25 June 2019