Neural dirty paper coding encoders and decoders trained end-to-end recover Tomlinson-Harashima-like modulo mappings and outperform them at low SNR.
On the achievable throughput of a multiantenna Gaussian broadcast channel,
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Learning to Write on Dirty Paper
Neural dirty paper coding encoders and decoders trained end-to-end recover Tomlinson-Harashima-like modulo mappings and outperform them at low SNR.