Autoencoder based Communication System using Multi-Dimensional Constellations

Hyungje Lee, Chahyeon Eom, Hyojin Lee, Chungyong Lee

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

Abstract

This paper proposes an autoencoder based multiple-input multiple-output (MIMO) communication system. The proposed autoencoder learns and optimizes for only line of sight (LOS) component of Rician channel. In addition, we adopt multi-dimensional constellation (MDC) in autoencoder, where it is obtained during learning process of autoencoder by adjusting hyperparameter. Simulation results show that our proposed autoencoder using MDC achieves better symbol error rate (SER) performance compared to conventional communication system which uses quadrature amplitude modulation (QAM) constellation. Furthermore, we confirmed that although proposed autoencoder is learned for only LOS component, it can be applied to random Rician flat fading channels with fading components and channel variation terms.

Original languageEnglish
Title of host publicationITC-CSCC 2020 - 35th International Technical Conference on Circuits/Systems, Computers and Communications
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages481-484
Number of pages4
ISBN (Electronic)9784885523281
Publication statusPublished - 2020 Jul
Event35th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2020 - Nagoya, Japan
Duration: 2020 Jul 32020 Jul 6

Publication series

NameITC-CSCC 2020 - 35th International Technical Conference on Circuits/Systems, Computers and Communications

Conference

Conference35th International Technical Conference on Circuits/Systems, Computers and Communications, ITC-CSCC 2020
CountryJapan
CityNagoya
Period20/7/320/7/6

Bibliographical note

Funding Information:
This work was supported in part by the Samsung Research in Samsung Electronics.

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems and Management
  • Electrical and Electronic Engineering

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