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Lattice-based linear precoding for MIMO channels with transmitter CSI
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0003-2298-6774
2008 (English)In: IEEE Transactions on Signal Processing, ISSN 1053-587X, E-ISSN 1941-0476, Vol. 56, no 7, 2902-2914 p.Article in journal (Refereed) Published
Abstract [en]

Herein, the design of linear dispersion codes for multiple-input multiple-output communication systems is investigated. The receiver as well as the transmitter are assumed to have perfect knowledge of the channel, and the receiver is assumed to employ maximum likelihood detection. We propose to use linear precoding and lattice invariant operations to transform the channel matrix into a lattice generator matrix with large minimum distance separation. With appropriate approximations, it is shown that this corresponds to selecting lattices with good sphere-packing properties. Lattice invariant transformations are then used to minimize the power consumption. An algorithm for this power minimization is presented along with a lower bound on the optimization. Numerical results indicate significant gains by using the proposed method compared to channel diagonalization with adaptive bit loading.

Place, publisher, year, edition, pages
IEEE , 2008. Vol. 56, no 7, 2902-2914 p.
Keyword [en]
Channel coding, communication systems, fading channels, multiple-input multiple-output (MIMO) systems, precoding
National Category
Communication Systems Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-17647DOI: 10.1109/tsp.2008.917844ISI: 000257195800024Scopus ID: 2-s2.0-46749150550OAI: oai:DiVA.org:kth-17647DiVA: diva2:335691
Note
QC 20100525Available from: 2010-08-05 Created: 2010-08-05 Last updated: 2011-11-29Bibliographically approved

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