Reliable Transmission in Wireless Communications R2a
Courses
Content
- Forward Error Correction in Wireless Communications
Learning outcomes
- Literature and internet based investigation on a topic from forward error correction in wireless communication systems
- Introduction to scientific work in the field of forward error correction in wireless transmission systems
Details
- Lecturer: Dirk Dahlhaus and team
- Teaching method: seminar
- SWS: 2
- Credit points: 3
- Examination: seminar attendance, presentation and oral exam (20 mins)
- Course identifier: N.N.
Content
- Medium access control in wireless communication systems
Objectives
- Literature and internet based investigation on a topic from medium access control in wireless communication systems
- Presenting a scientific topic in a seminar
Details
- Lecturer: Dirk Dahlhaus and team
- Teaching method: seminar
- SWS: 2
- Credit points: 3
- Examination: seminar attendance, presentation and oral exam (20 mins)
- Course identifier: FB16-5163
Content
- Fundamentals in information theory, entropy, mutual information
- Typical sequences and Shannon capacity for the discrete memoryless channel
- Channel coding: block codes, cyclic block codes, systematic form
- Soft and hard decisions and performance; interleaving and code concatenation
- Convolutional codes: tree and state diagrams, transfer function, distance properties; the Viterbi algorithm
- Source coding: fixed-length and variable-length codes, Huffman coding; the Lempel-Ziv algorithm; coding for analog sources, rate-distortion function; pulse-code modulation; delta-modulation, model-based source coding, linear predictive coding (LPC)
- Low-density parity-check (LDPC) code, turbo code and different coding techniques for the fifth and sixth generations
Learning outcomes
- Understanding fundamentals in communication-related aspects of information theory
- Ability to design source and channel coding schemes and implement them efficiently in software
- Detailed understanding of schemes in the physical layer of digital communication systems
Details
- Lecturer: Dirk Dahlhaus and team
- Teaching method: lecture and exercises
- SWS: 4
- Credit points: 5
- Examination: oral exam (30 minutes)
- Course identifier: FB16-4937
Content
- Fundamentals in information theory, entropy, mutual information
- Typical sequences and Shannon capacity for the discrete memoryless channel
- Channel coding: block codes, cyclic block codes, systematic form
- Soft and hard decisions and performance; interleaving and code concatenation
- Convolutional codes: tree and state diagrams, transfer function, distance properties; the Viterbi algorithm
- Source coding: fixed-length and variable-length codes, Huffman coding; the Lempel-Ziv algorithm; coding for analog sources, rate-distortion function; pulse-code modulation; delta-modulation, model-based source coding, linear predictive coding (LPC)
- Low-density parity-check (LDPC) code, turbo code and different coding techniques for the fifth and sixth generations
Learning outcomes
- Understanding fundamentals in communications related aspects of information theory
- Ability to design source and channel coding schemes and implement them efficiently in software
- Detailed understanding of schemes in the physical layer of digital communication systems
Details
- Lecturer: Dirk Dahlhaus and team
- Teaching method: lab training
- SWS: 1
- Credit points: 1
- Examination: lab attendance and oral exam (30 minutes)
- Course identifier: FB16-5118