Talks and Poster Presentations (with Proceedings-Entry):
L. Ribeiro, S. Schwarz, A. Almeida, M. Haardt:
"Low-Complexity Massive MIMO Tensor Precoding";
Talk: Asilomar Conference on Signals, Systems, and Computers,
Pacific Grove, CA;
11-01-2020
- 11-05-2020; in: "Proc. Asilomar Conference on Signals, Systems, and Computers",
(2020),
ISBN: 978-0-7381-3126-9;
1
- 8.
English abstract:
We present a novel and low-complexity massive multiple-input multiple-output precoding strategy based on novel findings concerning the subspace separability of Rician fading channels. Considering a uniform planar array at the base station, we show that the subspaces spanned by the channel vectors can be factorized as a tensor product between two low-dimensional subspaces. Based on this result, we formulate tensor maximum
ratio transmit and zero-forcing precoders. We show that the
proposed tensor precoders exhibit lower computational complexity
and require less instantaneous channel state information than their linear counterparts. Finally, we present computer simulations that demonstrate the applicability of the proposed
tensor precoders in practical communication scenarios.
Keywords:
Massive MIMO, tensors, precoding
"Official" electronic version of the publication (accessed through its Digital Object Identifier - DOI)
http://dx.doi.org/10.1109/IEEECONF51394.2020.9443492
Electronic version of the publication:
https://publik.tuwien.ac.at/files/publik_290030.pdf
Created from the Publication Database of the Vienna University of Technology.