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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...
Autores principales: | , , |
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Lenguaje: | eng |
Publicado: |
Springer
2014
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-04984-7 http://cds.cern.ch/record/1693387 |
_version_ | 1780935918371209216 |
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author | Bai, Lin Choi, Jinho Yu, Quan |
author_facet | Bai, Lin Choi, Jinho Yu, Quan |
author_sort | Bai, Lin |
collection | CERN |
description | 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. |
id | cern-1693387 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2014 |
publisher | Springer |
record_format | invenio |
spelling | cern-16933872021-04-21T21:04:58Zdoi:10.1007/978-3-319-04984-7http://cds.cern.ch/record/1693387engBai, LinChoi, JinhoYu, QuanLow complexity MIMO receiversEngineeringMultiple-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.Springeroai:cds.cern.ch:16933872014 |
spellingShingle | Engineering Bai, Lin Choi, Jinho Yu, Quan Low complexity MIMO receivers |
title | Low complexity MIMO receivers |
title_full | Low complexity MIMO receivers |
title_fullStr | Low complexity MIMO receivers |
title_full_unstemmed | Low complexity MIMO receivers |
title_short | Low complexity MIMO receivers |
title_sort | low complexity mimo receivers |
topic | Engineering |
url | https://dx.doi.org/10.1007/978-3-319-04984-7 http://cds.cern.ch/record/1693387 |
work_keys_str_mv | AT bailin lowcomplexitymimoreceivers AT choijinho lowcomplexitymimoreceivers AT yuquan lowcomplexitymimoreceivers |