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Series in Communication Theory 

Edited by Helmut Bölcskei

Vol. 7:



Davide Cescato,
Interpolation-Based Matrix Arithmetics for MIMO-OFDM Systems.
2010. XIV, 176 pages. ISBN 3-86628-360-1 and 978-3-86628-360-2


TOC of book


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).


Series in Communication Theory

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