Wireless Communications R4a


Credits points: 6

60 hours course attendance; 120 hours self-study

Semester: winter

Language: English

Module type: elective

Module usability: M.Sc. Electrical Communication Engineering, M.Sc. Elektrotechnik

Module duration: one semester

Required qualifications:
Knowledge of fundamentals in digital communications and basic MATLAB

Competences to be acquired

Research and development in the area of mobile radio systems

Operation and maintenance of devices in production processes

Design of terminals and base stations, in particular for wireless communications based on multicarrier transmission

Design a radio transmission using SDR



  • Deterministic and stochastic description of mobile radio channels
  • Time-variant linear systems
  • Probability density functions of complex amplitudes in fading channels
  • Characterization of noise and interference
  • Diversity
  • Multichannel signalling and linear combining
  • Spread spectrum signalling
  • Hypothesis testing with minimum probability of error
  • Sufficient statistics
  • Multi-antenna techniques such as adaptive beamforming to be adopted by LTE and LTEA systems
  • Device-2-device (D2D) communication using LTE
  • Cellular internet of things (IoT); LTE in V2X communication
  • Modulations and waveforms for 5G networks
  • Massive-MIMO and basic channel measurement techniques
  • Non-orthogonal multiple access (NOMA)
  • Cognitive radio for 5G networks
  • Introduction to 6G specifications and fundamental enabling technologies of 6G

Learning outcomes

  • Understanding channel characterization, interference phenomena and signal processing in advanced wireless and mobile radio systems


  • Lecturer: Dirk Dahlhaus and team
  • Teaching method: lecture and exercises
  • SWS: 2
  • Credit points: 3
  • Examination: oral exam (30 minutes)
  • Course identifier: FB16-5181


  • Introduction to software defined radio (SDR) hardware and different signal processing techniques including timing, carrier and frame synchronizations, channel estimation and equalization using SDR


  • Ability to implement advanced radio protocols using SDR


  • Lecturer: Dirk Dahlhaus and team
  • Teaching method: lab training
  • SWS: 2
  • Credit points: 3
  • Examination: lab training attendance, programming, oral exam (30 min)
  • Course identifier: N.N.