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DC Field | Value | Language |
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dc.contributor.author | Ling, C | - |
dc.contributor.author | Mow, WH | - |
dc.contributor.author | Gan, L | - |
dc.date.accessioned | 2014-09-23T14:20:03Z | - |
dc.date.available | 2014-09-23T14:20:03Z | - |
dc.date.issued | 2009 | - |
dc.identifier.citation | IEEE Journal of Selected Topics in Signal Processing, 3(6), 975 - 985, 2009 | en_US |
dc.identifier.issn | 1932-4553 | - |
dc.identifier.uri | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5370671 | en |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/9129 | - |
dc.description | This is the author's accepted manuscript. The final published article is available from the link below. Copyright @ 2009 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. | en_US |
dc.description.abstract | In this paper, we propose low-complexity lattice detection algorithms for successive interference cancelation (SIC) in multi-input multi-output (MIMO) communications. First, we present a dual-lattice view of the vertical Bell Labs Layered Space-Time (V-BLAST) detection. We show that V-BLAST ordering is equivalent to applying sorted QR decomposition to the dual basis, or equivalently, applying sorted Cholesky decomposition to the associated Gram matrix. This new view results in lower detection complexity and allows simultaneous ordering and detection. Second, we propose a partial reduction algorithm that only performs lattice reduction for the last several, weak substreams, whose implementation is also facilitated by the dual-lattice view. By tuning the block size of the partial reduction (hence the complexity), it can achieve a variable diversity order, hence offering a graceful tradeoff between performance and complexity for SIC-based MIMO detection. Numerical results are presented to compare the computational costs and to verify the achieved diversity order. | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.subject | Lattice reduction | en_US |
dc.subject | Multi-input multi-output (MIMO) | en_US |
dc.subject | Successive interference cancellation | en_US |
dc.subject | V-BLAST | en_US |
dc.title | Dual-lattice ordering and partial lattice reduction for SIC-based MIMO detection | en_US |
dc.type | Article | en_US |
dc.identifier.doi | http://dx.doi.org/10.1109/JSTSP.2009.2035851 | - |
pubs.organisational-data | /Brunel | - |
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pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences/Dept of Electronic and Computer Engineering | - |
pubs.organisational-data | /Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences/Dept of Electronic and Computer Engineering/Electronic and Computer Engineering | - |
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pubs.organisational-data | /Brunel/University Research Centres and Groups/Brunel Business School - URCs and Groups/Centre for Research into Entrepreneurship, International Business and Innovation in Emerging Markets | - |
pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups | - |
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pubs.organisational-data | /Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups/Centre for Systems and Synthetic Biology | - |
Appears in Collections: | Electronic and Computer Engineering Dept of Electronic and Electrical Engineering Research Papers |
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