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Codebook based Direct Vector Quantization of MIMO Channel Matrix with Channel Normalization
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 Title & Authors
Codebook based Direct Vector Quantization of MIMO Channel Matrix with Channel Normalization
Hui, Bing; Chang, KyungHi;
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 Abstract
In this paper, a novel codebook generation strategy is proposed. With the given codebooks, two codeword selection procedures are proposed and analyzed for generating the quantized multiple-input multiple-output (MIMO) channel state information (CSI). Furthermore, three different quantization and normalization strategies are analyzed. The simulation results suggest that the proposed 'quantized channel generation method 2' is the best strategy to reduce the quantization and normalization errors to generate the final quantized MIMO CSI.
 Keywords
Codebook;MIMO;normalization;vector quantization;quantization error;
 Language
English
 Cited by
 References
1.
B. Hui and K. H. Chang, "On capacity of MISO beamforming with codebook based scalar quantization," in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing 2012 (IEEE ICASSP 2012), pp. 3505-3508, Kyoto, Japan, Mar. 2012.

2.
D. J. Love and R. W. Heath, "Limited feedback unitary precoding for spatial multiplexing systems," IEEE Trans. on Inf. Theory, vol. 51, no. 8, pp. 2967-2976, Aug. 2005. crossref(new window)

3.
M. Mohaisen, D. K. Han, B. Hui, K. H. Chang, and B. T. Koo, "Vector perturbation techniques with block diagonalization for multi-user MIMO systems," J. KICS, vol. 35, no. 10, pp. 922-929, Oct. 2010.