course: Wireless Communications

number:
141215
teaching methods:
lecture with tutorials
media:
black board and chalk
responsible person:
Priv.-Doz. Dr.-Ing. Karlheinz Ochs
Lecturers:
Priv.-Doz. Dr.-Ing. Karlheinz Ochs (ETIT), Dennis Michaelis (ETIT)
language:
german
HWS:
4
CP:
5
offered in:
winter term

dates in winter term

  • start: Tuesday the 08.10.2019
  • lecture Tuesdays: from 12:15 to 13.45 o'clock in ID 04/445
  • tutorial Thursdays: from 08:15 to 09.45 o'clock in ID 04/445

Exam

Date according to prior agreement with lecturer.

Form of exam:oral
Registration for exam:FlexNow
Duration:30min

goals

Concepts of strategies on the receiver and transceiver side for multiple antenna systems are known and can be processed for given quality criteria.

content

The lecture is about information theory based methods for the transmission of digital signals in the context of mobile communication standards. In the beginning, the time-variant transmission behavior and its communication theoretical description will be discussed. For this purpose, the time-variant impulse response and transfer function will be introduced. The transmission is basically considered in the digital baseband, whereas the description of signals in signal-space, the signal-matched reception, and the channel capacity have priority. Multipath channels are treated stochastically with focus on the Rayleigh-, Rice- and Nakagami-m-probability densities. After this, the lecture considers multiple input multiple output channels, which allows multiple antennas and channel users, respectively. To this end, the consideration of multiple input multiple output channels will be extended with a stochastically description and extensive investigations of different detection methods like zero forcing, minimum mean square error, and maximum likelihood detection. The next step on the way to optimal transmission of digital signals is the decomposition of the MIMO-channel in its Eigenmodes, based on the well-known singular value decomposition. This approach leads to a motivation for the channel capacity and degrees of freedom of a MIMO-channel. The last part of the lecture deals with optimal transmission strategies like maximum ration transmission and maximum ratio combining as well as the water filling algorithm. The course concludes the discussion about an optimal transmission of digital signals in multi-access channels with the strategies time division multiple access, time-sharing, and successive interference cancellation.

requirements

keine

recommended knowledge

Grundlagenwissen in den Bereichen der linearen Algebra, der stochastischen Signale, der digitalen Übertragungstechnik und der Informationstheorie

materials

presentation slides:

tutorials:

miscellaneous:

literature

  1. Boyd, S., Vandenberghe, L. "Convex Optimization", Cambridge University Press, 2004
  2. Fettweis, Alfred "Elemente nachrichtentechnischer Systeme", Schlembach, 2004
  3. Cover, T., Thomas, J. "Elements of Information Theory", Wiley & Sons, 2006
  4. Hoeher, Peter "Grundlagen der digitalen Informationsübertragung: Von der Theorie zu Mobilfunkanwendungen", Springer Verlag, 2013
  5. Kammeyer, Karl-Dirk "Nachrichtenübertragung", Teubner Verlag, 2004
  6. El-Gamal, A., Kim, Y.-H. "Network Information Theory", Cambridge University Press, 2011