### Abstract

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. 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 ≤. 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., 1999).

Original language | English (US) |
---|---|

Title of host publication | Space-Time Wireless Systems: From Array Processing to MIMO Communications |

Publisher | Cambridge University Press |

Pages | 178-197 |

Number of pages | 20 |

ISBN (Print) | 9780511616815, 9780521851053 |

DOIs | |

State | Published - Jan 1 2006 |

Externally published | Yes |

### Fingerprint

### ASJC Scopus subject areas

- Engineering(all)

### Cite this

*Space-Time Wireless Systems: From Array Processing to MIMO Communications*(pp. 178-197). Cambridge University Press. https://doi.org/10.1017/CBO9780511616815.010

**Linear precoding for MIMO channels.** / Scaglione, Anna; Stoica, Petre.

Research output: Chapter in Book/Report/Conference proceeding › Chapter

*Space-Time Wireless Systems: From Array Processing to MIMO Communications.*Cambridge University Press, pp. 178-197. https://doi.org/10.1017/CBO9780511616815.010

}

TY - CHAP

T1 - Linear precoding for MIMO channels

AU - Scaglione, Anna

AU - Stoica, Petre

PY - 2006/1/1

Y1 - 2006/1/1

N2 - 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. 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 ≤. 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., 1999).

AB - 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. 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 ≤. 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., 1999).

UR - http://www.scopus.com/inward/record.url?scp=84926109753&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84926109753&partnerID=8YFLogxK

U2 - 10.1017/CBO9780511616815.010

DO - 10.1017/CBO9780511616815.010

M3 - Chapter

AN - SCOPUS:84926109753

SN - 9780511616815

SN - 9780521851053

SP - 178

EP - 197

BT - Space-Time Wireless Systems: From Array Processing to MIMO Communications

PB - Cambridge University Press

ER -