Talks and Poster Presentations (with Proceedings-Entry):
S. Schwarz, M. Rupp:
"Adaptive Channel Direction Quantization based on Spherical Prediction";
Poster: IEEE International Conference on Communications 2012 (ICC 2012),
- 06-15-2012; in: "IEEE International Conference on Communications (ICC) 2012",
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.
CSI estimation, LTE, channel vector quantization, spherical prediction, multi user MIMO
Created from the Publication Database of the Vienna University of Technology.