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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...

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Detalles Bibliográficos
Autores principales: Bai, Lin, Choi, Jinho, Yu, Quan
Lenguaje:eng
Publicado: Springer 2014
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-04984-7
http://cds.cern.ch/record/1693387
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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.
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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