Inh.: Dr. Renate Gorre
Fon: +49 (0)7533 97227
Fax: +49 (0)7533 97228
Series in Communication Theory
Edited by Helmut Bölcskei
Interpolation-Based Matrix Arithmetics for MIMO-OFDM Systems.
2010. XIV, 176 pages. ISBN 3-86628-360-1 and 978-3-86628-360-2
Detection algorithms for multiple-input
multiple-output (MIMO) wireless communication systems based on orthogonal
frequency-division multiplexing (OFDM) require channel preprocessing
through the computation of a matrix inversion or factorization for each of the
data-carrying OFDM tones. Motivated by the fact that the channel matrices arising in MIMO-OFDM systems result from
oversampling of a polynomial matrix, we propose interpolation-based algorithms
that solve the general problem of arithmetics of
Laurent polynomial matrices sampled on the unit circle, both for generic arithmetics and for the special cases, relevant for
MIMO-OFDM detection, of regularized matrix inversion, (regularized) QR
decomposition, and LU decomposition. An in-depth complexity analysis,
based on a metric relevant for very large scale integration (VLSI)
implementations, shows that the proposed algorithms can exhibit significantly
smaller complexity than brute-force per-tone MIMO-OFDM preprocessing.
About the Author
Davide Cescato was born in Mendrisio, Switzerland, in 1978. He received the Diploma in Electrical Engineering from ETH Zurich, Switzerland, in 2002. From 2003 to 2004, he was a Marie Curie fellow at NTNU Trondheim, Norway. He then pursued doctoral studies at the Communication Technology Laboratory at ETH Zurich, where he graduated with the Dr. sc. degree in 2010. He held internship positions in the Norwegian Center for Telemedicine, Tromsĝ, Norway, at the Helsinki University of Technology, Espoo, Finland, and in Schmid Telekom AG, Zurich, Switzerland.
Keywords: Laurent polynomial matrices, matrix inversion, LU decomposition, QR decomposition, interpolation, wireless communications, multiple-input multiple-output (MIMO) systems, orthogonal frequency-division multiplexing (OFDM), very large scale integration (VLSI).
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