Phase Noise Resilient Neural Transceivers for High data-Rate sub-THz Links
Marasinghe, Dileepa; Nguyen, Le Hang; Rajatheva, Nandana; Latva-aho, Matti (2025-01-01)
IEEE
01.01.2025
D. Marasinghe, L. H. Nguyen, N. Rajatheva and M. Latva-Aho, "Phase Noise Resilient Neural Transceivers for High Data-Rate Sub-THz Links," in IEEE Wireless Communications Letters, vol. 14, no. 3, pp. 836-840, March 2025, doi: 10.1109/LWC.2024.3524722.
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© 2025 The Authors. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
https://creativecommons.org/licenses/by/4.0/
© 2025 The Authors. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
https://creativecommons.org/licenses/by/4.0/
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202501161197
https://urn.fi/URN:NBN:fi:oulu-202501161197
Tiivistelmä
Abstract
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.
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.
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