Precoding Method Interference Management for Quasi-EVD Channel

The Cholesky decomposition-block diagonalization (CD-BD) interference alignment (IA) for a multiuser multiple input multiple output (MU-MIMO) relay system is proposed, which designs precoders for the multiple access channel (MAC) by employing the singular value decomposition (SVD) as well as the mea...

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Main Authors: Wei Duan, Wei Song, Sang Seob Song, Moon Ho Lee
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2014/678578
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spelling doaj-bbbba5b4c3104e33ab43692531f6876c2020-11-25T02:19:07ZengHindawi LimitedThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/678578678578Precoding Method Interference Management for Quasi-EVD ChannelWei Duan0Wei Song1Sang Seob Song2Moon Ho Lee3Division of Electronic and Information Engineering, Chonbuk National University, Chonju 561-756, Republic of KoreaCollege of Information Technology, Eastern Liaoning University, Dandong, 118003, ChinaDivision of Electronic and Information Engineering, Chonbuk National University, Chonju 561-756, Republic of KoreaDivision of Electronic and Information Engineering, Chonbuk National University, Chonju 561-756, Republic of KoreaThe Cholesky decomposition-block diagonalization (CD-BD) interference alignment (IA) for a multiuser multiple input multiple output (MU-MIMO) relay system is proposed, which designs precoders for the multiple access channel (MAC) by employing the singular value decomposition (SVD) as well as the mean square error (MSE) detector for the broadcast Hermitian channel (BHC) taken advantage of in our design. Also, in our proposed CD-BD IA algorithm, the relaying function is made use to restructure the quasieigenvalue decomposition (quasi-EVD) equivalent channel. This approach used for the design of BD precoding matrix can significantly reduce the computational complexity and proposed algorithm can address several optimization criteria, which is achieved by designing the precoding matrices in two steps. In the first step, we use Cholesky decomposition to maximize the sum-of-rate (SR) with the minimum mean square error (MMSE) detection. In the next step, we optimize the system BER performance with the overlap of the row spaces spanned by the effective channel matrices of different users. By iterating the closed form of the solution, we are able not only to maximize the achievable sum-of-rate (ASR), but also to minimize the BER performance at a high signal-to-noise ratio (SNR) region.http://dx.doi.org/10.1155/2014/678578
collection DOAJ
language English
format Article
sources DOAJ
author Wei Duan
Wei Song
Sang Seob Song
Moon Ho Lee
spellingShingle Wei Duan
Wei Song
Sang Seob Song
Moon Ho Lee
Precoding Method Interference Management for Quasi-EVD Channel
The Scientific World Journal
author_facet Wei Duan
Wei Song
Sang Seob Song
Moon Ho Lee
author_sort Wei Duan
title Precoding Method Interference Management for Quasi-EVD Channel
title_short Precoding Method Interference Management for Quasi-EVD Channel
title_full Precoding Method Interference Management for Quasi-EVD Channel
title_fullStr Precoding Method Interference Management for Quasi-EVD Channel
title_full_unstemmed Precoding Method Interference Management for Quasi-EVD Channel
title_sort precoding method interference management for quasi-evd channel
publisher Hindawi Limited
series The Scientific World Journal
issn 2356-6140
1537-744X
publishDate 2014-01-01
description The Cholesky decomposition-block diagonalization (CD-BD) interference alignment (IA) for a multiuser multiple input multiple output (MU-MIMO) relay system is proposed, which designs precoders for the multiple access channel (MAC) by employing the singular value decomposition (SVD) as well as the mean square error (MSE) detector for the broadcast Hermitian channel (BHC) taken advantage of in our design. Also, in our proposed CD-BD IA algorithm, the relaying function is made use to restructure the quasieigenvalue decomposition (quasi-EVD) equivalent channel. This approach used for the design of BD precoding matrix can significantly reduce the computational complexity and proposed algorithm can address several optimization criteria, which is achieved by designing the precoding matrices in two steps. In the first step, we use Cholesky decomposition to maximize the sum-of-rate (SR) with the minimum mean square error (MMSE) detection. In the next step, we optimize the system BER performance with the overlap of the row spaces spanned by the effective channel matrices of different users. By iterating the closed form of the solution, we are able not only to maximize the achievable sum-of-rate (ASR), but also to minimize the BER performance at a high signal-to-noise ratio (SNR) region.
url http://dx.doi.org/10.1155/2014/678578
work_keys_str_mv AT weiduan precodingmethodinterferencemanagementforquasievdchannel
AT weisong precodingmethodinterferencemanagementforquasievdchannel
AT sangseobsong precodingmethodinterferencemanagementforquasievdchannel
AT moonholee precodingmethodinterferencemanagementforquasievdchannel
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