389.145 Robust and reliable communication systems
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2019W, VU, 2.0h, 3.0EC

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise

Learning outcomes

After successful completion of the course, students are able to distinguish between optimum and robust communication systems. The students are able to design a robust and reliable system and are able to evaluate the performance.

Subject of course

Motivation. Interference reduction in general: Communication environment, Orthogonality, Figure of merits, Complexity, Interference avoidance, Robustness, Reliability, Communication resources, Responsibility. Conventional binary communication system. Spread-Spectrum System. Discrimination between robust systems and systems employing interference reduction. Principles of interference combating: Decorrelation, Interference reversal. Interference reduction techniques: Whitening, Estimating, Transformation, Nonlinearity, Orthogonality. Advanced interference combating techniques: Preventive interference combating for future wireless applications, (Adaptive) nonlinear pre-processing, Cooperative and non-cooperative interference combating. Concluding considerations: Evolution of interference combating techniques, Future of interference combating techniques. Brief literature review.

As a representative of robustness the spread-spectrum technology is presented. In detail: Principle, figure of merit, synchronization, RAKE, performance, signal-design, CDMA, multi-carrier CDMA.

Teaching methods

The contents of the course will be presented with mathematical models and partially visualized with simulations.

Mode of examination

Written

Additional information

Erste Vorlesung: Montag, 7.10.2019. Beginn um 14:30, Sem389-2, CG0402

Lecturers

Institute

Examination modalities

At the end of the lecture (oral or written)

Course registration

Not necessary

Curricula

Study CodeSemesterPrecon.Info
066 938 Computer Engineering

Literature

Slides

Language

German