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9 - Linear precoding for MIMO channels

Published online by Cambridge University Press:  25 February 2010

Anna Scaglione
Affiliation:
Cornell University
Petre Stoica
Affiliation:
Uppsala University
H. Bölcskei
Affiliation:
ETH Zürich, Switzerland
D. Gesbert
Affiliation:
Eurecom Institute
C. B. Papadias
Affiliation:
Bell Labs, Lucent Technologies
A.-J. van der Veen
Affiliation:
Technische Universiteit Delft, The Netherlands
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Summary

Precoding versus coding

A pivotal function of the physical transmission layer is that of making available a linear space of functions that meet transmission constraints. Each dimension of the coordinate system used in this space is called one degree of freedom. Except when orthogonal waveforms are used, the number of modulation waveforms is greater than the number of degrees of freedom. The transmission of a signature waveform colinear with one dimension is what is commonly referred to as one channel use. The constraints in designing modulation signals for MIMO systems are the classic ones: the transmit power is limited and the signals used should have their energy concentrated in a predefined window in time and frequency. The latter pair of constraints are coupled and the number of orthogonal signals with finite bandwidth-time product (WT) that can be constructed is ≤ WT. The formal statement of this fact is generally attributed to Gabor (1946).

Ideally, the selection of the signal space should be in continuous time and space. In practice, the digital to analog converters and antenna arrays and the RF propagation channel transduce the digital stream into signals with undesired properties. The transceivers' frontends can transform digitally the coordinate into a more suitable system of coordinates compared with that determined by the physical transducers. The linear mapping that establishes the new set of coordinates is referred to as linear precoding and its design can be carried out in discrete time (see Section 9.2 and Scaglione et al., 1999).

Type
Chapter
Information
Space-Time Wireless Systems
From Array Processing to MIMO Communications
, pp. 178 - 197
Publisher: Cambridge University Press
Print publication year: 2006

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