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S

Series in Communication Theory
Edited by Helmut Bölcskei
Vol. 7:
Davide Cescato,
InterpolationBased Matrix Arithmetics for MIMOOFDM Systems.
2010. XIV, 176 pages. ISBN 3866283601 and
9783866283602
Detection algorithms for multipleinput
multipleoutput (MIMO) wireless communication systems based on orthogonal
frequencydivision multiplexing (OFDM) require channel preprocessing
through the computation of a matrix inversion or factorization for each of the
datacarrying OFDM tones. Motivated by the fact that the channel matrices arising in MIMOOFDM systems result from
oversampling of a polynomial matrix, we propose interpolationbased 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
MIMOOFDM detection, of regularized matrix inversion, (regularized) QR
decomposition, and LU decomposition. An indepth 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 bruteforce pertone MIMOOFDM 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, multipleinput
multipleoutput (MIMO) systems, orthogonal frequencydivision multiplexing
(OFDM), very large scale integration (VLSI).
Series in Communication
Theory
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