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 language | English |
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Title of host publication | APCC 2022 - 27th Asia-Pacific Conference on Communications |
Subtitle of host publication | Creating Innovative Communication Technologies for Post-Pandemic Era |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 60-65 |
Number of pages | 6 |
ISBN (Electronic) | 9781665499279 |
DOIs | |
Publication status | Published - 2022 |
Event | 27th Asia-Pacific Conference on Communications, APCC 2022 - Jeju Island, Korea, Republic of Duration: 2022 Oct 19 → 2022 Oct 21 |
Publication series
Name | APCC 2022 - 27th Asia-Pacific Conference on Communications: Creating Innovative Communication Technologies for Post-Pandemic Era |
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Conference
Conference | 27th Asia-Pacific Conference on Communications, APCC 2022 |
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Country/Territory | Korea, Republic of |
City | Jeju Island |
Period | 22/10/19 → 22/10/21 |
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