Linear dispersion codes design based on Grassmannian subspace packing

Author

Dan Deng ; Ming Zhao

Author_Institution

Sch. of Inf. Eng., Guangzhou Panyu Polytech., Guangzhou, China

fYear

2014

Firstpage

262

Lastpage

265

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 2×2 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.

Keywords

MIMO communication; feedback; linear codes; multiplexing; optimisation; precoding; search problems; singular value decomposition; Grassmannian subspace packing; LDC systems; MIMO systems; SVD; codebook design method; finite set; linear dispersion code design; linear dispersion code systems; mapping function; multiplexing systems; optimal precoding codebook; random search codebook; singular value decomposition; Bit error rate; Design methodology; Dispersion; Equations; MIMO; Multiplexing; Receivers; Grassmannian Subspace packing; Linear Dispersion Codes; MIMO; limited feedback;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications and Networking in China (CHINACOM), 2014 9th International Conference on

Type

conf

DOI

10.1109/CHINACOM.2014.7054297

Filename

7054297