389.094 MIMO Communications
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2023W, VO, 2.0h, 3.0EC


  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VO Lecture
  • Format: Presence

Learning outcomes

After successful completion of the course, students are able to develop and implement various components of modern MIMO communication systems und to assess their performance. Furthermore, they are able to select MIMO channel models suitable for this purpose.

Subject of course

The use of multiple almost co-located antennas (also referred to as multiple-input multiple-output, or MIMO) in wireless communication channels for enhancing system capacity and link reliability has become a major research topic within the last decade. Some of the relevant information-theoretic results have been known for a long time. Now, advances in miniaturization enable the implementation of the required signal processing tasks in commercial applications. Recent initiatives for standardization of future MIMO communication systems include UMTS (3GPP Release 7 and UMTS-LTE) and Wireless LANs (IEEE 802.11n). These efforts reflect the importance of MIMO techniques to modern communication systems. In this course, we give an introduction to the fundamentals of MIMO communications over wireless channels. The topics include information-theoretic, signal processing aspects, and considerations about modeling the electromagnetic propagation channel. Finally, we exemplify the theory by discussing the designs of several MIMO communication systems.


  1. Introduction
  2. Physical modeling of (MIMO) channels
  3. Diversity/multiplexing trade-off and space-time coding
  4. Capacity of MIMO channels
  5. Exploiting channel knowledge at the transmitter
  6. Multi-user MIMO systems and capacity regions
  7. MIMO equalization and decoder structures
  8. Massive MIMO in 5G

Teaching methods

Lectures / flipped class room

Mode of examination


Additional information

First class: Wednesday, Oct. 4, 2023, 1:00-2:30 pm

Recordings of the lectures from the 20/21 semester are available on the following TUbe channel: 


The course will be held in flipped classroom mode. Students acquire the course contents using video recordings of lectures available on TUbe (see link above) and discuss the material with the lecturers in bi-weekly meetings. Here is the schedule for the rest of the semester:

MIMO meeting dates & contents

18.10. (GM)
Video #1: Introduction
Video #2: minutes 0-45 – Introduction cont.
8.11. (cfm)
Video #2: minutes 45-1:30 – Performance Limits
Video #3: Performance Limits
22.11. (GM)
Video #4: Channel Models
Video #5: minutes 0-57 – Channel Models cont.
6.12. (cfm)
Video #5: minutes 57-1:35 – Channel Estimation
Video #9: Channel Estimation cont.
20.12. (GM)
Video #6: Space-Time Codes
Video #8: Beamforming & Precoding
10. 1. (cfm)
Video #7: Data Detection
Video #12: MIMO-OFDM Equalizer
24. 1. (GM)
Video #10: Massive MIMO
Video #11: Massive MIMO




Course dates

Wed13:00 - 14:3004.10.2023 - 24.01.2024Sem 389 Lecture Dates
MIMO Communications - Single appointments
Wed04.10.202313:00 - 14:30Sem 389 Lecture Dates
Wed11.10.202313:00 - 14:30Sem 389 Lecture Dates
Wed18.10.202313:00 - 14:30Sem 389 Lecture Dates
Wed25.10.202313:00 - 14:30Sem 389 Lecture Dates
Wed08.11.202313:00 - 14:30Sem 389 Lecture Dates
Wed22.11.202313:00 - 14:30Sem 389 Lecture Dates
Wed29.11.202313:00 - 14:30Sem 389 Lecture Dates
Wed06.12.202313:00 - 14:30Sem 389 Lecture Dates
Wed13.12.202313:00 - 14:30Sem 389 Lecture Dates
Wed20.12.202313:00 - 14:30Sem 389 Lecture Dates
Wed10.01.202413:00 - 14:30Sem 389 Lecture Dates
Wed17.01.202413:00 - 14:30Sem 389 Lecture Dates
Wed24.01.202413:00 - 14:30Sem 389 Lecture Dates

Examination modalities

oral exam 

Course registration

Not necessary


Study CodeObligationSemesterPrecon.Info
066 507 Telecommunications Not specified
710 FW Elective Courses - Electrical Engineering Elective


No lecture notes are available.

Previous knowledge

Foundations of linear algebra, foundations of signal- and systems theory