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.
|Title of host publication||2021 IEEE International Conference on Acoustics, Speech and Signal Processing|
|Number of pages||5|
|Publication status||Accepted/In press - 30 Jan 2021|
|MoE publication type||A4 Article in a conference publication|