Binary grassmannian weightbooks for MIMO beamforming systems

Young Gil Kim; Norman C. Beaulieu

doi:10.1109/TCOMM.2011.120710.090139

Binary grassmannian weightbooks for MIMO beamforming systems

Young Gil Kim, Norman C. Beaulieu

School of Electrical and Computer Engineering

University of Alberta

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

Binary weightbooks for multiple-input multiple-output (MIMO) beamforming systems using quantized feedback are designed based on the Grassmannian beamforming criterion. It is shown that the Grassmannian criterion for binary weightbook design is to maximize the minimum Hamming distance of the corresponding block code. Thus, block codes that have large minimum Hamming distance can be used for binary weightbook design for MIMO beamforming systems using quantized feedback. The optimum binary weightbooks when the number of transmit antennas has value from two to six are tabulated.

Original language	English
Article number	5713797
Pages (from-to)	388-394
Number of pages	7
Journal	IEEE Transactions on Communications
Volume	59
Issue number	2
DOIs	https://doi.org/10.1109/TCOMM.2011.120710.090139
State	Published - Feb 2011

Keywords

Block code
MIMO systems
fading channels
quantized feedback
transmitter diversity

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10.1109/TCOMM.2011.120710.090139

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Binary grassmannian weightbooks for MIMO beamforming systems

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