Research Interests
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Wireless Communications
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Machine Learning
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Distributed systems
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Signal processing
Research Areas
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Manufacturing Technology (Mechanical Engineering, Electrical and Electronic Engineering, Chemical Engineering) / Communication and network engineering
From School
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Kyoto University Graduate School of Informatics Department of Systems Science Graduated
2018.04 - 2021.11
Country：Japan
Notes：博士後期課程
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Kyoto University Graduate School of Informatics Department of Systems Science Graduated
2016.04 - 2018.03
Country：Japan
Notes：修士課程
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Kyoto University Faculty of Engineering School of Engineering Science Graduated
2012.04 - 2016.03
Country：Japan
External Career
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Nagoya Institute of Technology Assistant Professor
2021.12
Country：Japan
Papers
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Precoder design for correlated data aggregation via over-the-air computation in sensor networks Reviewed
Ayano Nakai-Kasai and T. Wadayama
IEEE Global Communications Conference (GLOBECOM 2022) Workshop Program 2022.12
Authorship：Lead author Publishing type：Research paper (international conference proceedings)
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MMSE signal detection for MIMO systems based on ordinary differential equation Reviewed
Ayano Nakai-Kasai and T. Wadayama
IEEE Global Communications Conference (GLOBECOM 2022) 2022.12
Authorship：Lead author Publishing type：Research paper (international conference proceedings)
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PSOR-Jacobi algorithm for accelerated MMSE MIMO detection Reviewed
A. Mizukoshi, A. Nakai-Kasai, T. Wadayama
International Symposium on Information Theory and Its Applications (ISITA 2022) 133 - 137 2022.10
Publishing type：Research paper (international conference proceedings)
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Ordinary differential equation-based sparse signal recovery Reviewed
T. Wadayama, A. Nakai-Kasai
International Symposium on Information Theory and Its Applications (ISITA 2022) 14 - 18 2022.10
Publishing type：Research paper (international conference proceedings)
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Continuous-time noisy average consensus system as Gaussian multiple access channel Reviewed
Tadashi Wadayama, Ayano Nakai-Kasai
IEEE International Symposium on Information Theory (ISIT2022) 2022.06
Publishing type：Research paper (international conference proceedings)
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Nested aggregation of experts using inducing points for approximated Gaussian process regression Reviewed
Ayano Nakai-Kasai, Toshiyuki Tanaka
Machine Learning 111 1671 - 1694 2022.05
Authorship：Lead author Language：English Publishing type：Research paper (scientific journal)
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An Acceleration Method of Sparse Diffusion LMS based on Message Propagation. Reviewed
Ayano Nakai-Kasai, Kazunori Hayashi
IEICE Transactions on Communications 104-B ( 2 ) 141 - 148 2021.02
Publishing type：Research paper (scientific journal)
Other Link： https://dblp.uni-trier.de/db/journals/ieicetb/ieicetb104.html#Nakai-KasaiH21
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An Overloaded IoT Signal Detection Method using Non-convex Sparse Regularizers. Reviewed
Kazunori Hayashi, Ayano Nakai-Kasai, Atsuya Hirayama, Hiroki Honda, Tetsuya Sasaki, Hideki Yasukawa, Ryo Hayakawa
Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2020) 1490 - 1496 2020.12
Publishing type：Research paper (international conference proceedings) Publisher：IEEE
Other Link： https://dblp.uni-trier.de/conf/apsipa/2020
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Optimal Combination Weight for Sparse Diffusion Least-Mean-Square based on Consensus Propagation. Reviewed
Ayano Nakai-Kasai, Kazunori Hayashi
Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2020) 228 - 235 2020.12
Publishing type：Research paper (international conference proceedings) Publisher：IEEE
Other Link： https://dblp.uni-trier.de/conf/apsipa/2020
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Discreteness and group sparsity aware detection for uplink overloaded MU-MIMO systems
Ryo Hayakawa, Ayano Nakai-Kasai, Kazunori Hayashi
APSIPA Transactions on Signal and Information Processing 9 2020.10
Publishing type：Research paper (scientific journal) Publisher：Cambridge University Press (CUP)
This paper proposes signal detection methods for frequency domain equalization (FDE) based overloaded multiuser multiple input multiple output (MU-MIMO) systems for uplink Internet of things (IoT) environments, where a lot of IoT terminals are served by a base station having less number of antennas than that of IoT terminals. By using the fact that the transmitted signal vector has the discreteness and the group sparsity, we propose a convex discreteness and group sparsity aware (DGS) optimization problem for the signal detection. We provide an optimization algorithm for the DGS optimization on the basis of the alternating direction method of multipliers (ADMM). Moreover, we extend the DGS optimization into weighted DGS (W-DGS) optimization and propose an iterative approach named iterative weighted DGS (IW-DGS), where we iteratively solve the W-DGS optimization problem with the update of the parameters in the objective function. We also discuss the computational complexity of the proposed IW-DGS and show that we can reduce the order of the complexity by using the structure of the channel matrix. Simulation results show that the symbol error rate (SER) performance of the proposed method is close to that of the oracle zero forcing (ZF) method, which perfectly knows the activity of each IoT terminal.
Presentations
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連合学習におけるクライアント異質性を考慮した学習寄与率の深層展開による決定
中井彩乃，和田山正
第37回信号処理シンポジウム 2022.12
Event date： 2022.12
Presentation type：Oral presentation (general)
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微分方程式を介した新たな離散時間アルゴリズム構成論に基づくMMSE信号検出
中井彩乃，水越朝陽，和田山正
第37回信号処理シンポジウム 2022.12
Event date： 2022.12
Presentation type：Poster presentation
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理論平均二乗誤差に基づいた離散時間MMSE検出法の構成
水越朝陽，中井彩乃，和田山正
第45回情報理論とその応用シンポジウム 2022.11
Event date： 2022.11 - 2022.12
Presentation type：Oral presentation (general)
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Deep Unfolded Gradient Descent on the Riemann Sphere for MIMO Precoder Design
Zijie Yang, Ayano Nakai-Kasai, and Tadashi Wadayama
2022.11
Event date： 2022.11 - 2022.12
Presentation type：Oral presentation (general)
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［招待講演］離散性とスパース性を利用した無線通信のための過負荷信号処理 Invited
林和則, 早川諒, 中井彩乃
電子情報通信学会無線通信システム研究会 2020.06
Presentation type：Oral presentation (invited, special)
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［奨励講演］合意伝搬法を用いたスパース拡散LMSアルゴリズム Invited
中井彩乃, 林和則
電子情報通信学会無線通信システム研究会 2020.01
Presentation type：Oral presentation (invited, special)
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［依頼講演］信号の離散性を利用した過負荷信号処理 Invited
林和則, 早川諒, 中井彩乃
電子情報通信学会無線通信システム研究会 2019.03
Presentation type：Oral presentation (invited, special)
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非凸スパース正則化とグループスパース性を用いた過負荷MU-MIMO OFDM/SC-CP信号検出法の検討
中井彩乃, 平山敦也, 本多弘樹, 佐々木哲也, 安川英希, 早川諒, 林和則
電子情報通信学会高信頼制御通信研究会 2020.12
Presentation type：Oral presentation (general)
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離散性とグループスパース性を利用した上りリンク過負荷MU-MIMO OFDM信号検出法に関する検討
早川諒, 中井彩乃, 林和則
電子情報通信学会総合大会 2020.03
Presentation type：Oral presentation (general)
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離散性とグループスパース性を利用したIoT環境のための上りリンク過負荷MU-MIMO OFDM/SC-CP信号検出法
中井彩乃, 早川諒, 林 和則
電子情報通信学会総合大会 2019.03
Presentation type：Oral presentation (general)
Awards
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オーラルセッション研究奨励賞
2020.12 電子情報通信学会 高信頼制御通信研究会 非凸スパース正則化とグループスパース性を用いた過負荷MU-MIMO OFDM/SC-CP信号検出法の検討
中井彩乃
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令和元年度信号処理若手奨励賞
2020.06 電子情報通信学会 信号処理研究会 センサネットワークを用いた環境モニタリングのための局所近似に基づく分散ガウス過程回帰
中井彩乃
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APSIPA ASC 2019 Best Special Session Paper Nomination Award
2019.11 Asia-Pacific Signal and Information Processing Association An overloaded SC-CP IoT signal detection method via sparse complex discrete-valued vector reconstruction
Kazunori Hayashi, Ayano Nakai-Kasai, Ryo Hayakawa
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IEICE RCS Active Researcher Award
2019.05 Institute of Electronics, Information and Communication Engineers Radio Communication Systems
Ayano Nakai-Kasai
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IEICE RCS Best Young Researcher Award
2019.02 Institute of Electronics, Information and Communication Engineers Radio Communication Systems
Ayano Nakai-Kasai
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Young Researchers' Award
2018.03 Institute of Electronics, Information and Communication Engineers
Ayano Nakai
Teaching Experience
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ネットワーク系演習Ⅱ
2022.10 Institution：Nagoya Institute of Technology
Level：Undergraduate (specialized)