Talks and Poster Presentations (with Proceedings-Entry):
L. Ribeiro, S. Schwarz, M. Rupp, A. Almeida, J. Mota:
"A Low-Complexity Equalizer for Massive MIMO Systems Based on Array Separability";
Talk: 25th European Signal Processing Conference (EUSIPCO) 2017,
- 09-02-2017; in: "Proceedings of the 25th European Signal Processing Conference",
In this paper, we propose a low-complexity equalizer for multiple-input multiple-output systems with large receive antenna arrays. The computational complexity reduction is achieved by exploiting array separability on a geometric channel model. This property suggests a two-stage receive processing, consisting of (i) sub-array beamforming and (ii) low-dimension minimum mean square error (MMSE) equalization. Simulations indicate that the proposed method outperforms the classical MMSE filter in terms of complexity provided that the number of channel scatterers and the sub-arrays dimensions are not excessively large.
Created from the Publication Database of the Vienna University of Technology.