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Low Complexity MIMO Receivers
Multiple-input multiple-output (MIMO) systems can increase the spectral efficiency in wireless communications. However, the interference becomes the major drawback that leads to high computational complexity at both transmitter and receiver. In particular, the complexity of MIMO receivers can be pro...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2014.
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| Edición: | 1st ed. 2014. |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
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| 001 | 978-3-319-04984-7 | ||
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| 005 | 20220114150423.0 | ||
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| 020 | |a 9783319049847 |9 978-3-319-04984-7 | ||
| 024 | 7 | |a 10.1007/978-3-319-04984-7 |2 doi | |
| 050 | 4 | |a TK5101-5105.9 | |
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| 100 | 1 | |a Bai, Lin. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Low Complexity MIMO Receivers |h [electronic resource] / |c by Lin Bai, Jinho Choi, Quan Yu. |
| 250 | |a 1st ed. 2014. | ||
| 264 | 1 | |a Cham : |b Springer International Publishing : |b Imprint: Springer, |c 2014. | |
| 300 | |a XXVI, 296 p. 59 illus. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 505 | 0 | |a Introduction -- Signal Processing at Receivers: Detection Theory -- MIMO Detection: Vector Space Signal Detection -- Successive Interference Cancellation Based MIMO Detection -- Lattice Reduction Based MIMO Detection -- MIMO Iterative Receivers.- Bit-Wise MIMO-BICM-ID using Lattice Reduction -- Randomized Sampling-based MIMO Iterative Receivers -- Iterative Channel Estimation and Detection -- Multiuser and Multicell MIMO Systems: The Use of Lattice Reduction. | |
| 520 | |a Multiple-input multiple-output (MIMO) systems can increase the spectral efficiency in wireless communications. However, the interference becomes the major drawback that leads to high computational complexity at both transmitter and receiver. In particular, the complexity of MIMO receivers can be prohibitively high. As an efficient mathematical tool to devise low complexity approaches that mitigate the interference in MIMO systems, lattice reduction (LR) has been widely studied and employed over the last decade. The co-authors of this book are world's leading experts on MIMO receivers, and here they share the key findings of their research over years. They detail a range of key techniques for receiver design as multiple transmitted and received signals are available. The authors first introduce the principle of signal detection and the LR in mathematical aspects. They then move on to discuss the use of LR in low complexity MIMO receiver design with respect to different aspects, including uncoded MIMO detection, MIMO iterative receivers, receivers in multiuser scenarios, and multicell MIMO systems. | ||
| 650 | 0 | |a Telecommunication. | |
| 650 | 0 | |a Computer engineering. | |
| 650 | 0 | |a Computer networks . | |
| 650 | 0 | |a Signal processing. | |
| 650 | 1 | 4 | |a Communications Engineering, Networks. |
| 650 | 2 | 4 | |a Computer Engineering and Networks. |
| 650 | 2 | 4 | |a Signal, Speech and Image Processing . |
| 700 | 1 | |a Choi, Jinho. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 700 | 1 | |a Yu, Quan. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783319049830 |
| 776 | 0 | 8 | |i Printed edition: |z 9783319049854 |
| 776 | 0 | 8 | |i Printed edition: |z 9783319343587 |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-3-319-04984-7 |z Texto Completo |
| 912 | |a ZDB-2-ENG | ||
| 912 | |a ZDB-2-SXE | ||
| 950 | |a Engineering (SpringerNature-11647) | ||
| 950 | |a Engineering (R0) (SpringerNature-43712) | ||