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| Colloquium |
Electrical and Computer Engineering
Center for Multimedia Communication
Computer and Information Technology Institute
Dean of Engineering
Houston Chapter IEEE Circuits and Systems Society
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| Speaker: |
Markku Juntti
Professor Telecommunication Laboratory
University of Oulu Finland
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MIMO Receivers for 3G LTE |
Thursday, November 2, 2006
4:00 PM
to 5:00 PM
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1070 Duncan Hall
Rice University
6100 Main St
Houston, Texas, USA
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The talk will give a short introduction to Centre for
Wireless Communications (CWC), University of Oulu, Oulu,
Finland research activities related to multiple-input
multiple-output (MIMO) receiver algorithms and
architectures. Particular emphasis is given on two main
topics: lattice reduction (LR) based linear equalizers for
coded MIMO transmission, and implementation complexity of
two novel list sphere detector (LSD) algorithms.
The use of lattice reduction has been shown to be a very
effective method for signal detection in multiple antenna
systems. The performance of the sub-optimal soft output
maximum a posteriori (MAP) detector with lattice reduction
is studied in multiple-input multiple output orthogonal
frequency division multiplexing (MIMO-OFDM) system. We
propose two polynomial-time methods to generate the desired
size candidate list in the reduced lattice. The sub-optimal
soft-output MAP detector with these list generation methods
provides a near-optimal performance in uncorrelated
MIMO-OFDM systems, but with significantly reduced
computational complexity.
The complexity and performance of two novel list sphere
detector (LSD) algorithms are studied and evaluated in
multiple-input multiple-output orthogonal frequency division
multiplexing (MIMO-OFDM) system. The LSDs are based on the
K-best and the Schnorr-Euchner enumeration (SEE) algorithms.
The required list sizes for LSD algorithms are determined
for a 2£2 system with 4- quadrature amplitude modulation
(QAM), 16-QAM, and 64-QAM. The complexity of the algorithms
is compared by studying the number of visited nodes per
received symbol vector by the algorithm in computer
simulations. The SEE based LSD algorithm is found to be a
less complex and feasible choice for implementation compared
to the K-best based LSD algorithm.
Host: Joseph Cavallaro |
Biography of Markku Juntti: Markku Juntti received his M.Sc. (Tech.) and Dr.Sc. (Tech.) degrees in Electrical Engineering from
University of Oulu, Oulu, Finland in 1993 and 1997, respectively.
Dr. Juntti has been with Telecommunication Laboratory and Centre for Wireless Communications, University of Oulu in 1992-98. In academic year 1994-95 he was a Visiting Scholar at Rice University, Houston, Texas. In 1999--2000 he was with Nokia Networks. Dr. Juntti has been a Professor of Telecommunications at University of Oulu since 2000. His research interests include communication and information theory, signal processing for wireless communication systems as well as their application in wireless communication system design. He is an author or co-author in some 150 papers published in international journals and conference records as well as in book WCDMA for UMTS published by Wiley.
Dr. Juntti is an Associate Editor for IEEE Transactions on Vehicular Technology. He was Secretary of IEEE Communication Society Finland Chapter in 1996-97 and the Chairman for years 2000-01. He has been Secretary of the Technical Program Committee (TPC) of the 2001 IEEE International Conference on Communications (ICC'01), and the Co-Chair of the Technical Program Committee of 2004 Nordic Radio Symposium and IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2006). |
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