Presentation 2024-01-18
A Study on Autoencoder-aided Data-Driven Tuning for Linear Dispersion Code
Arata Kameda, Shinsuke Ibi, Takumi Takahashi, Hisato Iwai,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper, we consider the application of wireless autoencoder (WAE) to a model of code generation rules for linear dispersion codes (LDC). LDC is a coding scheme in which the modulation symbols are distributed by a dispersion matrix as much as possible in both the spatial and time domains to achieve high reliability owing to the spatio-temporal diversity effect and high transmission rates owing to the spatial multiplexing effect without compromising signal detection accuracy. Typically, the dispersion matrix is numerically searched using random numbers to obtain a higher discrete-input continuous-output memoryless channel (DCMC) capacity. This method requires a significant amount of time to search for a large dispersion matrix. To solve this problem, this paper proposes to improve search efficiency by configuring WAE, a type of machine learning, as a neural network for generating dispersion matrices. In addition, WAE is introduced for signal constellation generation of modulation symbols as well as dispersion matrix generation to improve signal detection accuracy.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Linear dispersion code / signal constellation / wireless autoencoder / data-driven tuning
Paper # IT2023-31,SIP2023-64,RCS2023-206
Date of Issue 2024-01-11 (IT, SIP, RCS)

Conference Information
Committee SIP / IT / RCS
Conference Date 2024/1/18(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Takayuki Nakachi(Ryukyu Univ.) / Tetsuya Kojima(Tokyo Kosen) / Kenichi Higuchi(Tokyo Univ. of Science)
Vice Chair Koichi Ichige(Yokohama National Univ.) / Kiyoshi Nishikawa(okyo Metropolitan Univ.) / Yasuyuki Nogami(Okayama Univ.) / Fumihide Kojima(NICT) / Osamu Muta(Kyushu Univ.) / Naoto Ishii(NEC)
Secretary Koichi Ichige(Chiba Univ.) / Kiyoshi Nishikawa(Kogakuin Univ.) / Yasuyuki Nogami(Waseda Univ.) / Fumihide Kojima(Nagaoka Univ. of Tech.) / Osamu Muta(Univ. of Electro-Comm) / Naoto Ishii(Sharp)
Assistant Taichi Yoshida(UEC) / Sayaka Shiota(Tokyo Metropolitan Univ.) / Tetsunao Matsuta(Saitamai Univ.) / Masashi Iwabuchi(NTT) / Issei Kanno(KDDI Research) / Yuyuan Chang(Tokyo Inst. of Tech) / Kazuki Maruta(Tokyo Univ. of Science) / Kiichi Tateishi(NTT Docomo)

Paper Information
Registration To Technical Committee on Signal Processing / Technical Committee on Information Theory / Technical Committee on Radio Communication Systems
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study on Autoencoder-aided Data-Driven Tuning for Linear Dispersion Code
Sub Title (in English)
Keyword(1) Linear dispersion code
Keyword(2) signal constellation
Keyword(3) wireless autoencoder
Keyword(4) data-driven tuning
1st Author's Name Arata Kameda
1st Author's Affiliation Doshisha University(Doshisha Univ.)
2nd Author's Name Shinsuke Ibi
2nd Author's Affiliation Doshisha University(Doshisha Univ.)
3rd Author's Name Takumi Takahashi
3rd Author's Affiliation Osaka University(Osaka Univ.)
4th Author's Name Hisato Iwai
4th Author's Affiliation Doshisha University(Doshisha Univ.)
Date 2024-01-18
Paper # IT2023-31,SIP2023-64,RCS2023-206
Volume (vol) vol.123
Number (no) IT-338,SIP-339,RCS-340
Page pp.pp.7-12(IT), pp.7-12(SIP), pp.7-12(RCS),
#Pages 6
Date of Issue 2024-01-11 (IT, SIP, RCS)