389.156 Wireless Communications 2
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2022S, VO, 2.0h, 3.0EC


  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VO Lecture
  • Format: Distance Learning

Learning outcomes

After successful completion of the course, students are able to understand and apply the methods described unter the item "Lehrinhalte". This includes the ability to design transmitters and receivers for wireless communication systems that operate with soft-information in all stages. Moreover, students can implement  scheduling methods that retain large amounts of the theoretical multi-user diversity gain while still delay constraints are met.

Subject of course

Scarce system resources in wireless multiuser systems call for efficient use of power and bandwidth. This problem has several dimensions. For each communication link within a multiuser system, the problem is to design efficient, low-complexity source-channel coding algorithms -- for applications with delay constraints, this calls for joint source-channel coding, due to necessarily non-ideal coding algorithms. From a system perspective, the question is how to use the given resources (bandwidth, power) efficiently but still in such as way that the quality-of-service for all users is maximised. The conventional approach will ignore both channel knowledge as well as information about the applications in the medium access layer which is rather wasteful. While using channel knowledge when scheduling users for channel access will allow to achieve large multiuser diversity (transmit power) gains, knowledge about the applications will be crucial to still meet quality-of-service requirements. Joint Source-Channel Coding and Decoding: - Separation theorem of information theory - Practical limitations in real-world systems - Cooperation between source and channel decoding: bad-frame handling in speech transmission - Joint Source-Channel Coding Theory: the optimal system - Channel-Optimised Vector Quantisation - Optimised Index Mappings for Quantisers - Multiple Descriptions - Soft-In/Soft-Out Channel Decoding - Soft-Input Source Decoding - Iterative Source-Channel Decoding Cross-Layer Design: - Open Systems Interconnection Reference Model: basic concept and limitations for wireless systems - Cross-Layer Design: principles - Wireless multiuser systems: Information theoretical aspects - Multiuser diversity gain - Quality-of-Service vs. Throughput - Optimal resource allocation and user scheduling - Practical aspects, delay in particular - Scheduling for wireless: Round Robin, Proportional Fair, Content- and Channel-Aware Scheduling

Teaching methods

Presentation of lecture slides

Mode of examination


Additional information

The course will be held online using the following ZOOM-Link


The lectures notes and further details (including the schedule of the online-lectures) are available here:


Supplementary Material (Part III / "Noisy Compressed Sensing"):


Lectures are held online from 14:00--16:30 according to the following schedule:

17. March, 24 March, 31 March, 7 April, 28 April, 19 May (former dates 5 May, 12 May)

The first online-meeting is scheduled for 17 March 2022, 14:00.



Course dates

Thu14:00 - 17:0003.03.2022 - 30.06.2022Sem 389 Vorlesung
Wireless Communications 2 - Single appointments
Thu03.03.202214:00 - 17:00Sem 389 Vorlesung
Thu10.03.202214:00 - 17:00Sem 389 Vorlesung
Thu17.03.202214:00 - 17:00Sem 389 Vorlesung
Thu24.03.202214:00 - 17:00Sem 389 Vorlesung
Thu31.03.202214:00 - 17:00Sem 389 Vorlesung
Thu07.04.202214:00 - 17:00Sem 389 Vorlesung
Thu28.04.202214:00 - 17:00Sem 389 Vorlesung
Thu05.05.202214:00 - 17:00Sem 389 Vorlesung
Thu12.05.202214:00 - 17:00Sem 389 Vorlesung
Thu19.05.202214:00 - 17:00Sem 389 Vorlesung
Thu02.06.202214:00 - 17:00Sem 389 Vorlesung
Thu09.06.202214:00 - 17:00Sem 389 Vorlesung
Thu23.06.202214:00 - 17:00Sem 389 Vorlesung
Thu30.06.202214:00 - 17:00Sem 389 Vorlesung

Examination modalities

Oral exam.

Course registration

Not necessary


Study CodeSemesterPrecon.Info
066 507 Telecommunications 2. Semester
066 938 Computer Engineering


No lecture notes are available.

Previous knowledge

Knowledge of the basics of electrical engineering, signals and systems, telecommunications and basic knowledge in information theory as well the contents of the module Signal Processing. The lecture is delivered in English so appropriate command of the language is expected.

There are no compulsory formal prerequisites for the lecture.