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Diversity-multiplexing tradeoff in MIMO channels with partial CSIT
KTH, School of Electrical Engineering (EES), Communication Theory. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Communication Theory. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-7926-5081
2007 (English)In: IEEE Transactions on Information Theory, ISSN 0018-9448, Vol. 53, no 8, 2743-2759 p.Article in journal (Refereed) Published
Abstract [en]

The diversity-multiplexing (D-M) tradeoff in a multiantenna channel with optimized resolution-constrained channel state feedback is characterized. The concept of minimum guaranteed multiplexing gain in the forward link is introduced and shown to significantly influence the optimal D-M tradeoff. It is demonstrated that power control based on the feedback is instrumental in achieving the D-M tradeoff, and that rate adaptation is important in obtaining a high diversity gain even at high rates. A criterion to determine finite-length codes to be tradeoff optimal is presented, leading to a useful geometric characterization of the class of extended approximately universal codes. With codes from this class, the optimal D-M tradeoff is achievable by the combination of a feedback-dependent power controller and a single codebook for single-rate or two codebooks; for adaptive-rate transmission. Finally, lower bounds to the optimal D-M tradeoffs based on Gaussian coding arguments are also studied. In contrast to the no-feedback case, these random coding bounds are only asymptotically tight, but can quickly approach the optimal tradeoff even with moderate codeword lengths.

Place, publisher, year, edition, pages
IEEE Information Theory Society , 2007. Vol. 53, no 8, 2743-2759 p.
Keyword [en]
diversity methods, fading channels, information rates, large-deviation analysis, multiple-input multiple-output (MIMO) systems, power control, quantization, fading channels, side information, antenna systems, capacity, feedback, power, allocation, codes
National Category
URN: urn:nbn:se:kth:diva-16821DOI: 10.1109/TIT.2007.901171ISI: 000248235400006ScopusID: 2-s2.0-34547889848OAI: diva2:334864
QC 20100525 QC 20111213Available from: 2010-08-05 Created: 2010-08-05 Last updated: 2011-12-13Bibliographically approved

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Kim, Tung ThanhSkoglund, Mikael
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