Signal Processing in Multi-Antenna (MIMO) Communication System

Lecturer:  Gerd Ascheid

Supervisor:  Ahmed Hallawa

Type:  Master Lecture

Credits: 4

Lecture
Exercise

Course language: English

Contents

In wireless communication the Shannon bound limits the capacity of a link. To further increase the data rate in a given bandwidth advanced systems employ spatial multiplexing techniques. Such systems are using multiple antennas both on transmit and receive side. The lecture starts from a review of fading channel models for single antenna links and then discusses multiple antenna channel models and channel parameters. After a comparison of single-carrier and multi-carrier (OFDM) modulation different approaches to use multiple antennas are presented (beamforming, spatial diversity, spatial multiplexing). At the receiver side the channel must be estimated before performing equalization and detection. Optimal and suboptimal estimation and detection as well as new concepts like iterative receivers are explained. Higher data rates can be achieved when the signal is pre-processed appropriately in the transmitter. Pre-processing concepts can be based on different levels of channel knowledge. These concepts and methods for acquiring at the transmit side the information about the channel (which is required for optimum pre-processing) are studied in more detail. Major topics of the lecture include:

 

o       Fading channel models (single and multiple antennas)
o       Fading channel parameters
o       Modulation schemes
o       Multi-antenna transmission concepts
-        Beamforming
-        Spatial diversity
-        Spatial multiplexing
o       Channel estimation
o       Optimal and suboptimal equalization
o       Iterative receivers
o       Acquiring channel information at the transmitter
o       Optimum transmit pre-processing

Room

Lecture: ICT cubes, Seminarraum 002, EG, Kopernikusstr. 16

Exercise: ICT cubes, Seminarraum 002, EG, Kopernikusstr. 16