Deep Learning-based Transceiver Design for Pilotless Communication over Fading Channel with one-bit ADC and Oversampling

Metasebia D. Gemeda, Min S. Han, Ameha T. Abebe, Chung G. Kang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

With the aim of addressing power consumption issues for terahertz band wireless communication, this work presents a deep learning-based solution for transceiver design with 1-bit quantization and oversampling at the receiver, and Faster-than-Nyquist transmission over fading channel. Specifically, by implementing the transceiver using a convolutional autoencoder, our work allows higher-order modulation transmission over one-bit fading channel without pilots. Transfer learning from previously trained blocks over simple noisy channel is used to minimize the probability of bit error and outperforms the convolutional autoencoder at low oversampling rates. The biterror-rate gain offered at 20dB SNR by the transfer learning is seen to be as high as half of one order at low oversampling rates and to saturate as oversampling rate increases. Furthermore, by allowing explicit phase synchronization, the autoencoder-based transceiver with partial channel matching is able to approach unquantized performance with 4dB gap in Rayleigh fading environment.

Original languageEnglish
Title of host publicationAPCC 2022 - 27th Asia-Pacific Conference on Communications
Subtitle of host publicationCreating Innovative Communication Technologies for Post-Pandemic Era
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages60-65
Number of pages6
ISBN (Electronic)9781665499279
DOIs
Publication statusPublished - 2022
Event27th Asia-Pacific Conference on Communications, APCC 2022 - Jeju Island, Korea, Republic of
Duration: 2022 Oct 192022 Oct 21

Publication series

NameAPCC 2022 - 27th Asia-Pacific Conference on Communications: Creating Innovative Communication Technologies for Post-Pandemic Era

Conference

Conference27th Asia-Pacific Conference on Communications, APCC 2022
Country/TerritoryKorea, Republic of
CityJeju Island
Period22/10/1922/10/21

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

  • autoencoder
  • deep learning
  • one-bit-quantization
  • oversampling

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Aerospace Engineering
  • Automotive Engineering
  • Control and Optimization
  • Instrumentation

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