DocumentCode :
2362049
Title :
Adaptive channel direction quantization based on spherical prediction
Author :
Schwarz, Stefan ; Rupp, Markus
Author_Institution :
Inst. of Telecommun., Vienna Univ. of Technol., Vienna, Austria
fYear :
2012
fDate :
10-15 June 2012
Firstpage :
3757
Lastpage :
3762
Abstract :
In this paper, we present algorithms for the quantization of a correlated unit norm random vector process. Such algorithms are important, e.g., for channel vector quantization in wireless communication systems. Starting from a quantization codebook that uniformly quantizes the unit sphere, we propose to iteratively adapt the codebook to the channel statistics, in order to improve the quantization accuracy. This is achieved by increasing the density of the quantization code vectors in that area of the unit sphere where the next realization of the random process is expected to lie, without increasing the codebook size. Additionally, we propose spherical prediction algorithms for the considered random process. Combining the codebook adaptation techniques with this prediction leads to improved quantization accuracy. The performance of the algorithms is demonstrated by employing them in an LTE system for providing accurate transmitter channel knowledge used for multiuser beamforming.
Keywords :
Long Term Evolution; adaptive codes; array signal processing; channel coding; iterative methods; prediction theory; radio transmitters; random processes; statistics; vector quantisation; vectors; wireless channels; LTE system; adaptive channel direction quantization; channel knowledge transmission; channel statistics; channel vector quantization; codebook adaptation technique; correlated unit norm random vector process; multiuser beamforming; quantization codebook vector; spherical prediction algorithm; wireless communication system; Apertures; Correlation; Doppler effect; Prediction algorithms; Quantization; Transmitters; Vectors; CSI estimation; LTE; channel vector quantization; multi user MIMO; spherical prediction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (ICC), 2012 IEEE International Conference on
Conference_Location :
Ottawa, ON
ISSN :
1550-3607
Print_ISBN :
978-1-4577-2052-9
Electronic_ISBN :
1550-3607
Type :
conf
DOI :
10.1109/ICC.2012.6363653
Filename :
6363653
Link To Document :
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