Determinant of Quantization Step Size with Neural Networks for Amplify-Quantize-Forward Relay Channel

Research output: Contribution to conferenceConference paperpeer-review

Abstract

This paper deals with the method of determining the quantization step size in an amplify-quantize-forward (AQF) relay channel with quadrature amplitude modulation. We introduce an existing method for determining the quantization step size in the AQF relay channels and propose a method applying neural networks to solve the computational complexity problem of the conventional method. Simulation results confirm the superiority of the proposed method.

Original languageEnglish
Title of host publication2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665464345
DOIs
StatePublished - 2022
Event2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022 - Yeosu, Korea, Republic of
Duration: 2022.10.262022.10.28

Publication series

Name2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022

Conference

Conference2022 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2022
Country/TerritoryKorea, Republic of
CityYeosu
Period22.10.2622.10.28

Keywords

  • Detection
  • neural networks
  • quadrature amplitude modulation
  • quantize
  • relay

Quacquarelli Symonds(QS) Subject Topics

  • Computer Science & Information Systems
  • Engineering - Electrical & Electronic
  • Engineering - Petroleum
  • Data Science
  • Physics & Astronomy

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