Capacity enhancement via multi-mode adaptation in spatially correlated MIMO channels

A. Forenza, M.R. McKay, A. Pandharipande, R.W. Heath, I.B. Collings

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

We consider a low-complexity adaptive MIMO transmission approach for spatially correlated channels. The proposed scheme adaptively switches between different transmission modes depending on the changing channel conditions, as a means to enhance system capacity. Each mode is a combination of a transmission technique (i.e. statistical beamforming, double space-time transmit diversity and spatial multiplexing) and a modulation/coding scheme. We first motivate our adaptive algorithm by deriving new closed-form capacity expressions, and demonstrating significant information theoretic improvements over non-adaptive transmission. We then present a practical method to switch between different modes, based on the channel statistics. Our approach is shown to yield significant improvements in spectral efficiency for typical channel scenarios.
Original languageEnglish
Title of host publication2005 IEEE 16th International Symposium on Personal, Indoor and Mobile Radio Communications
PublisherInstitute of Electrical and Electronics Engineers
Pages754-758
Number of pages5
ISBN (Print)978-3-8007-2909-8
DOIs
Publication statusPublished - 24 Jul 2006
Externally publishedYes
Event16th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2005 - Berlin, Germany, Berlin, Germany
Duration: 11 Sept 200514 Sept 2005
Conference number: 16

Conference

Conference16th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2005
Abbreviated titlePIMRC 2005
Country/TerritoryGermany
CityBerlin
Period11/09/0514/09/05

Keywords

  • MIMO
  • Switches
  • Communication switching
  • Eigenvalues and eigenfunctions
  • Matrix decomposition
  • Array signal processing
  • Adaptive algorithm
  • Statistics
  • Error analysis
  • Signal to noise ratio

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