Events Calendar

Belief Propagation based MIMO Detection Operating on Quantized Channel Outputs

Speaker: Amine Mezghani,
Institute of Circuit Theory and Signal Processing,
Technical University of Munich (TUM), GermanyAbstract: In multiple-antenna communications, as bandwidth and modulation
order increase, system components must work with demanding tolerances. In
particular, high resolution and high sampling rate analog-to-digital
converters (ADCs) are often prohibitively challenging to design. Therefore
ADCs for such applications should be low-resolution. The talk provides new
insights into the problem of optimal signal detection based on quantized
received signals for multiple-input multiple-output (MIMO) channels. It
capitalizes on previous works which extensively analyzed the unquantized
linear vector channel using graphical inference methods. In particular, a
³loopy² belief propagation-like (BP) MIMO detection algorithm, operating
on quantized data with low complexity, is proposed. In addition, we study
the impact of finite receiver resolution in fading channels in the
large-system limit by means of a state evolution analysis of the BP
algorithm, which refers to the limit where the number of transmit and
receive antennas go to infinity with a fixed ratio. Simulations show that
the theoretical findings might give accurate results even with a moderate
number of antennas.Bio:
Amine Mezghani was born in Tunsia. He received the "Diplome d'Ingénieur"
degree from Ecole Centrale de Paris, France, and the Dipl.-Ing. in
electrical engineering from the Technical University of Munich (TUM),
Germany,both in 2006. Since 2006, he has been working toward the doctorate
degree at the institute of circuit theory and signal processing, TUM. His
research interests focus on the study of MIMO communications under
low-resolution Analog-to-Digital-Converters.

Location: Hughes Aircraft Electrical Engineering Center (EEB) - 539

Audiences: Everyone Is Invited

Contact: Gerrielyn Ramos