@inproceedings{2f0d37b620284daaa15eaf73c05028fc,
title = "Learning optimal lattice codes for MIMO communications",
abstract = "We propose a novel reinforcement learning approach to learning lattice codes for MIMO channels. We use the block error rate as a loss function to be minimized and compare the learnt lattices with those obtained from algebraic design methods for different SNR ranges. Our results indicate that our learnt lattices achieve close to optimal performance in some cases.",
keywords = "Coding theory, Lattices, MIMO channels, Physical layer security, Reinforcement learning",
author = "Laia Amor{\'o}s and Mikko Pitk{\"a}nen",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP ; Conference date: 06-06-2021 Through 11-06-2021",
year = "2021",
doi = "10.1109/ICASSP39728.2021.9414237",
language = "English",
volume = "2021-June",
series = " Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing",
publisher = "IEEE",
pages = "2960--2964",
booktitle = "ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)",
address = "United States",
}