Research Article
Linear Dispersion Codes Design Based on Grassmannian Subspace Packing
@INPROCEEDINGS{10.4108/icst.chinacom.2014.256206, author={Dan Deng and Ming Zhao}, title={Linear Dispersion Codes Design Based on Grassmannian Subspace Packing}, proceedings={9th International Conference on Communications and Networking in China}, publisher={IEEE}, proceedings_a={CHINACOM}, year={2015}, month={1}, keywords={linear dispersion codes limited feedback grassmannian subspace packing mimo}, doi={10.4108/icst.chinacom.2014.256206} }- Dan Deng
Ming Zhao
Year: 2015
Linear Dispersion Codes Design Based on Grassmannian Subspace Packing
CHINACOM
IEEE
DOI: 10.4108/icst.chinacom.2014.256206
Abstract
A new method to design codebook is proposed for Linear Dispersion Code (LDC) systems with limited feedback. The extended codebook design method is introduced based on Grassmannian subspace packing and a mapping function, which is derived from the relationship between SVDs of the classical multiplexing systems and the LDC systems. Our proposed codebook can guarantee the maximum min-distance of the finite set. Simulation results show that, for 2x2 MIMO systems, if the feedback bit number is 4, the proposed codebook shows the similar performance to the optimal precoding codebook and has substantial performance advantage against the random search codebook.
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