Phase Noise Resilient Neural Transceivers for High data-Rate sub-THz Links

Phase noise (PN) poses a significant challenge in sub-terahertz (sub-THz) communications, alongside the necessity for low peak-to-average power ratio (PAPR) transmissions. This letter introduces an end-to-end learned single-carrier (SC) neural transceiver, which consists of a PN-resilient and PAPR-constrained transmitter utilizing a trainable pilot scheme combined with a deep neural receiver tailored for sub-THz. The learned transceiver effectively compensates for both correlated and uncorrelated PN and the flat-fading line-of-sight (LOS) channel while maintaining lower PAPR. The results show a substantial reduction in pilot overhead while delivering superior spectral efficiency and up to 1.2 dB PAPR gains over the conventional baselines.