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Joint Bit Allocation and Precoding for MIMO Systems With Decision Feedback Detection
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology.
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0003-2298-6774
2009 (English)In: IEEE Transactions on Signal Processing, ISSN 1053-587X, E-ISSN 1941-0476, Vol. 57, no 11, 4509-4521 p.Article in journal (Refereed) Published
Abstract [en]

This paper considers the joint design of bit loading, precoding and receive filters for a multiple-input multiple-output (MIMO) digital communication system employing decision feedback (DF) detection at the receiver. Both the transmitter as well as the receiver are assumed to know the channel matrix perfectly. It is well known that, for linear MIMO transceivers, a diagonal transmission (i.e., orthogonalization of the channel matrix) is optimal for some criteria. Surprisingly, it was shown five years ago that for the family of Schur-convex functions an additional rotation of the symbols is necessary. However, if the bit loading is optimized jointly with the linear transceiver, then this rotation is unnecessary. Similarly, for DF MIMO optimized transceivers a rotation of the symbols is sometimes needed. The main result of this paper shows that for a DF MIMO transceiver where the bit loading is jointly optimized with the transceiver filters, the rotation of the symbols becomes unnecessary, and because of this, also the DF part of the receiver is not required. The proof is based on a relaxation of the available bit rates on the individual substreams to the set of positive real numbers. In practice, the signal constellations are discrete and the optimal relaxed bit loading has to be rounded. It is shown that the loss due to rounding is small, and an upper bound on the maximum loss is derived. Numerical results are presented that confirm the theoretical results and demonstrate that orthogonal transmission and the truly optimal DF design perform almost equally well.

Place, publisher, year, edition, pages
IEEE , 2009. Vol. 57, no 11, 4509-4521 p.
Keyword [en]
Channel coding, communication systems, fading channels, MIMO systems, precoding, equalization, channels, design, decomposition, framework
National Category
Telecommunications Communication Systems
URN: urn:nbn:se:kth:diva-18862DOI: 10.1109/tsp.2009.2026522ISI: 000270747200030ScopusID: 2-s2.0-70350489664OAI: diva2:336909
QC 20100525Available from: 2010-08-05 Created: 2010-08-05 Last updated: 2011-11-29Bibliographically approved

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