Talks and Poster Presentations (with Proceedings-Entry):

S. Schwarz, R. W. Heath, M. Rupp:
"Adaptive Quantization On The Grassmann-Manifold For Limited Feedback Multi-User MIMO Systems";
Poster: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), Vancouver, Canada; 05-26-2013 - 05-31-2013; in: "Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)", IEEE, (2013), ISSN: 1520-6149; 5021 - 5025.

English abstract:
We propose an adaptive quantization algorithm for subspace
tracking on the Grassmann-manifold of p-dimensional subspaces
in the n-dimensional Euclidean space. This quantization
problem arises naturally in limited feedback based
wireless communication systems, which apply precoding for
interference cancellation and alignment. The proposed algorithm
exploits the differential geometry associated with the
Grassmann-manifold for efficient differential and predictive
quantization. The algorithm is applied to channel state information
quantization in a multi-user block-diagonalization
based wireless communication system, demonstrating large
throughput gains compared to memoryless quantization.

Grassmann-manifold, differential quantization, limited feedback, block diagonalization, LTE.

"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)

Created from the Publication Database of the Vienna University of Technology.