DocumentCode :
53585
Title :
Predictive Quantization on the Stiefel Manifold
Author :
Schwarz, Stefan ; Rupp, Markus
Author_Institution :
Inst. of Telecommun., Vienna Univ. of Technol., Vienna, Austria
Volume :
22
Issue :
2
fYear :
2015
fDate :
Feb. 2015
Firstpage :
234
Lastpage :
238
Abstract :
In this letter, we consider time-varying complex-valued n × m matrices H[k] (m ≤ n) and propose a predictive quantizer for the eigenvectors of the Gramian H[k]H[k]H, which operates on the associated compact Stiefel manifold. The proposed quantizer exploits the temporal correlation of the source signal to provide high-fidelity representations with significantly reduced quantization codebook size compared to memoryless schemes. We apply the quantizer to channel state information quantization for limited feedback based multi-user MIMO, employing regularized block-diagonalization precoding. We demonstrate significant rate gains compared to block-diagonalization precoding using Grassmannian predictive feedback.
Keywords :
MIMO communication; channel coding; eigenvalues and eigenfunctions; precoding; prediction theory; vector quantisation; Grassmannian predictive feedback; Stiefel manifold; block-diagonalization precoding; channel state information quantization; eigenvectors; high-fidelity representations; memoryless schemes; multiuser MIMO; predictive quantization; quantization codebook size; rate gains; source signal; temporal correlation; time-varying complex-valued matrices; MIMO; Manifolds; Quantization (signal); Receiving antennas; Signal processing algorithms; Signal to noise ratio; Transmitters; Adaptive quantization; Grassmann manifold; Stiefel manifold; limited feedback; multi-user MIMO;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/LSP.2014.2354258
Filename :
6891198
Link To Document :
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