Channel Estimation for Reconfigurable Intelligent Surface-aided 6G NOMA Systems using CNN-based Quantum LSTM Model

Nhien Q. T. Thoong Thoong, Adnan Ahmad Cheema, Saeed R. Khosravirad, Octavia A. Dobre, Trung Q. Duong

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Original languageEnglish
Title of host publicationChannel Estimation for Reconfigurable Intelligent Surface-aided 6G NOMA Systems using CNN-based Quantum LSTM Model
PublisherIEEE
Publication statusAccepted/In press - 17 Jul 2024
Event2024 IEEE 100th Vehicular Technology Conference - Washington DC
Duration: 7 Oct 202410 Oct 2024
https://events.vtsociety.org/vtc2024-fall/

Publication series

NameThe 2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall)
PublisherIEEE

Conference

Conference2024 IEEE 100th Vehicular Technology Conference
Period7/10/2410/10/24
Internet address

Keywords

  • channel estimation
  • LSTM
  • Machine learning
  • NOMA
  • quantum machine learning
  • Ris

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