A microcontroller-sized neural network filter is shown in simulation and on an STM32L4 testbed to cut DFT-s-OFDM PAPR by about 2 dB versus RRC, but the receiver-side mechanism for knowing the data-dependent filter is not specified.
Ye et al., ”Channel agnostic end-to-end learning with conditional GAN,” in Proc
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TinyML-Based Adaptive Pulse Shaping for Edge Intelligence in IoT/IIoT
A microcontroller-sized neural network filter is shown in simulation and on an STM32L4 testbed to cut DFT-s-OFDM PAPR by about 2 dB versus RRC, but the receiver-side mechanism for knowing the data-dependent filter is not specified.