Presentation 2023-03-13
Channel Polarization State Prediction Using Phasor Quaternion Neural Networks in Wireless Communications
Anzhe Ye, Haotian Chen, Ryo Natsuaki, Akira Hirose,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Fading channel compensation requires higher accuracy channel prediction. In this paper, we propose a fading channel prediction method using phasor quaternion neural networks (PQNNs) to predict the polarization states, with phase information involved to enhance the channel compensation ability as well. We evaluate the performance of the proposed prediction technique in two different fading situations in an actual communication environment and prove that it has relatively higher performance compared to the conventional methods.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Channel prediction / phasor quaternion / polarization state
Paper # NC2022-91
Date of Issue 2023-03-06 (NC)

Conference Information
Committee NC / MBE
Conference Date 2023/3/13(3days)
Place (in Japanese) (See Japanese page)
Place (in English) The Univ. of Electro-Communications
Topics (in Japanese) (See Japanese page)
Topics (in English) Brain architecture, General
Chair Hiroshi Yamakawa(Univ of Tokyo) / Junichi Hori(Niigata Univ.)
Vice Chair Hirokazu Tanaka(Tokyo City Univ.) / Hisashi Yoshida(Kinki Univ.)
Secretary Hirokazu Tanaka(NTT) / Hisashi Yoshida(NICT)
Assistant Yoshimasa Tawatsuji(Waseda Univ.) / Tomoki Kurikawa(KMU) / Emi Yuda(Tohoku Univ) / Miki Kaneko(Osaka Univ.)

Paper Information
Registration To Technical Committee on Neurocomputing / Technical Committee on ME and Bio Cybernetics
Language ENG-JTITLE
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Channel Polarization State Prediction Using Phasor Quaternion Neural Networks in Wireless Communications
Sub Title (in English)
Keyword(1) Channel prediction
Keyword(2) phasor quaternion
Keyword(3) polarization state
1st Author's Name Anzhe Ye
1st Author's Affiliation The University of Tokyo(UTokyo)
2nd Author's Name Haotian Chen
2nd Author's Affiliation The University of Tokyo(UTokyo)
3rd Author's Name Ryo Natsuaki
3rd Author's Affiliation The University of Tokyo(UTokyo)
4th Author's Name Akira Hirose
4th Author's Affiliation The University of Tokyo(UTokyo)
Date 2023-03-13
Paper # NC2022-91
Volume (vol) vol.122
Number (no) NC-425
Page pp.pp.1-6(NC),
#Pages 6
Date of Issue 2023-03-06 (NC)