Shun Kojima

News

2024/4/6

Journal paper has been accepted in IEEE Transactions on Vehicular Technology.

Shun Kojima and Shinya Sugiura, "Random pilot activation and interpolated channel estimation for physical-layer secret key generation in correlated eavesdropping channel,"


2024/3/26

Journal paper has been accepted in IEEE Transactions on Wireless Communications.

Shun Kojima and Shinya Sugiura, "User-independent randomized pilot activation for secure key generation,"


2024/3/19

Conference paper has been accepted to VTC 2024-Spring in Singapore.

Kosuke Tamura, Shun Kojima, Shinya Sugiura, Jaesang Cha, and Chang-Jun Ahn, "Accurate and Doppler robust SNR estimation using multimodal CNN,"


2024/3/8

The research proposal has been accepted for Inamori Foundation.

■Shun Kojima, "Development of Physical Layer Secret Key Generation for Visible Light Communication systems," Apr. 2024 - Mar. 2026. (JPY 1,000,000)


2024/1/30

Following paper received the Best Paper Award Bronze Prize at ICEIC 2024.

■Jun-Han Wang, He He, Kosuke Tamura, Shun Kojima, Jaesang Cha, and Chang-Jun AHn, "Vehicle-To-Vehicle Communication Channel Estimator Based on Gate Recurrent Unit,"


2023/12/18

高柳健次郎財団2023年度研究奨励賞を受賞しました。


2023/12/8

産総研「覚醒プロジェクト」に採択されました。


2023/10/26

The research proposal has been accepted for The Okawa Research Foundation.


2023/8/25

Conference paper has been accepted to ATC 2023 in Da Nang, Vietnam.

Kosuke Tamura, Shun Kojima, Kazuki Komatsu, and Chang-Jun Ahn, "Spectrally Efficient Frequency Division Multiplexing with QRM-MLD for Rician Fading Channel,"


2023/6/12

Journal paper has been accepted in IEEE Communications Letters.

Yuta Matsuzaki, Shun Kojima, and Shinya Sugiura, "Deep-Learning-Based Physical-Layer Lightweight Authentication in Frequency-Division Duplex Channel,"


2023/5/19

Journal paper has been accepted in IEEE Transactions on Cognitive Communications and Networking.

■ Shun Kojima, Yuta Goto, Kazuki Maruta, Shinya Sugiura and Chang-Jun Ahn, "Timing Synchronization Based on Supervised Learning of Spectrogram for OFDM Systems,"


2023/3/12

Conference paper has been accepted to VTC 2023-Spring in Florence, Italy.

■ Yuki Sasaki, Kazuki Maruta, Shun Kojima, Daisuke Hisano, and Yu Nakayama, "Light Source Tracking System for A-QL based Display-Camera Communication,"


2023/3/9

Received  IEICE Young Researcher’s Award. 


2023/2/6

Journal paper has been accepted in Journal of Signal Processing.

He He, Jun-Han Wang, Shun Kojima, Kazuki Maruta, Chang-Jun Ahn, Regression CNN based Fast Fading Channel Tracking using Decision Feedback Channel Estimation,” 


2022/12/6

Journal paper has been accepted in Journal of Communications Software and Systems.

■ He He, Jun-Han Wang, Shun Kojima, Kazuki Maruta, and Chang-Jun Ahn, Data-aided weight with Subcarrier Grouping for Adaptive Array Antenna,


2022/10/30

Conference paper has been accepted to IEEE Consumer Communications & Networking Conference (CCNC2023) in Las Vegas.

Yuki Sasaki, Kazuki Maruta, Shun Kojima, Daisuke Hisano, and Yu Nakayama, Deep Learning based 2D Symbol Detection for Display-Camera Communication,


2022/10/27

Following paper received the best paper award at IEEE/IEIE International Conference on Consumer Electronics Asia 2022 (ICCE-Asia 2022)

■ He He, Jun-Han Wang, Shun Kojima, Kazuki Maruta, and Chang-Jun Ahn, Data-aided weight with subcarrier grouping for Adaptive Array Interference Suppression,


2022/9/24

Conference paper has been accepted to  IEEE/IEIE International Conference on Consumer Electronics Asia 2022 (ICCE-Asia 2022) in Yeosu, Corea.

■ He He, Jun-Han Wang, Shun Kojima, Kazuki Maruta, and Chang-Jun Ahn, Data-aided weight with subcarrier grouping for Adaptive Array Interference Suppression,


2022/9/21

Journal paper has been accepted in IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences.

■ He He, Shun Kojima, Kazuki Maruta, and Chang-Jun Ahn, Adaptive Zero-Padding with Impulsive Training Signal MMSE-SMI Adaptive Array Interference Suppression,


2022/9/20

The research proposal has been accepted for JST ACT-X.

■Shun Kojima, "Deep Learning for Integrated Wireless Communications and Radar Signal Processing," Oct. 2022 - Mar. 2025. (JPY 6,000,000)


2022/9/1

I joined Sugiura Lab, Institute of Industrial Science, The University of Tokyo as a project research associate. 


2022/5/24

Conference papers  have been accepted in SNPD2022-Summer in Kyoto, Japan.

Tatsuya Tsuchiya, Kanemitsu Ootsu, Takashi Yokota, and Shun Kojima, "Assembly code translation from ARM64 to RISC-V,"

Jintaro Nogae, Kanemitsu Ootsu, Takashi Yokota, and Shun Kojima, "Comparison of reinforcement learning in game AI,"


2022/4/27

Conference paper has been accepted in VTC 2022-Spring Workshop in Helsinki, Finland.

■ Shun Kojima, Yi Feng, Kazuki Maruta, Kanemitsu Ootsu, Takashi Yokota, Chang-Jun Ahn, and Vahid Tarokh, Towards Deep Learning-Guided Multiuser SNR and Doppler Shift Detection for Next-Generation Wireless Systems,


2022/4/5

Journal paper has been accepted in IEICE Transactions on Information and Systems.

Takashi Yokota, Kanemitsu Ootsu, and Shun Kojima, “On a Cup-Stacking Concept in Repetitive Collective Communication,


2022/4/4

The research proposal has been accepted for Takahashi Industrial and Economic Research Foundation.

■Shun Kojima, "Development of VLC System realizing high-frequency utilization efficiency," Apr. 2022 - Mar. 2023. (JPY 3,000,000)


2022/3/11

The research proposal has been accepted for Support Center for Advanced Telecommunications Technology Research.

■Shun Kojima, "Simultaneous estimation for multiple communication environments by deep learning to improve the frequency utilization efficiency," Apr. 2022 - Mar. 2025. (JPY 2,500,000)


2022/3/4

電気通信普及財団 研究調査助成に採択されました。


2022/2/28

日本学術振興会 科学研究費助成事業 若手研究に採択されました。


2022/2/15

さくらサイエンスプログラムで以下のテーマについて講演を行いました。

Shun Kojima, "Wireless Communications and Machine Learning," Sakura Science Exchange Program (hosted by Chiba University)


2022/2/4

放送文化基金の研究助成に採択されました。


2022/1/7

以下の論文がIEICE Communications Express Top Downloaded Letter Award を受賞しました。

■ Kazushi Shimada, Shun Kojima, Kazuki Maruta, and Chang-Jun Ahn, “Adaptive Spreading Factor Assignment for VLC-OFDM-IDMA with PIC,”


2022/1/6

KDDI財団の調査研究助成に採択されました。


2021/12/21

ICT Express (IF: 4.317)共著論文がacceptされました。

■ Hiroaki Kobayashi, Shun Kojima, Kazuki Maruta, Takatoshi Sugiyama, and Chang-Jun Ahn, "CNN-based Blind SIR Classification Framework for STPA-BAA Spectrum Superposing,"


2021/12/14

国立研究開発法人情報通信研究機構(NICT)と共同研究契約を締結しました。


2021/12/10

パワーアカデミー研究助成「萌芽研究」に採択されました。


2021/10/18

IEEE Access (IF: 3.367 ) に主著論文がacceptされました。

■ Shun Kojima, He He, Takaki Omura, Kazuki Maruta, and Chang-Jun Ahn, "Generalized Regression Neural Network based Fast Fading Channel Tracking using Frequency-Domain CSI Smoothing,"


2021/10/14

カシオ財団の研究助成に採択されました。


2021/10/11

令和3年度宇都宮大学工学部萌芽的研究助成に採択されました。


2021/10/5

Radioenginnering (IF: 0.951) に共著論文がacceptされました。

■ He He, Shun Kojima, Takaki Omura, Kazuki Maruta, and Chang-Jun Ahn, Generalized Regression Neural Network based Channel Identification and Compensation Using Scattered Pilot,


2021/9/20

TaiwanのHualienで開催予定のISPACS2021に共著論文がacceptされました。

■ Yuta Toyama, Shun Kojima, and Chang-Jun Ahn, “Performance Enhancement of Low Granularity MIMO-OFDMA Using FSS Method,


2021/8/12

 IEICE Communications Express に共著論文が accept されました。

Kazushi Shimada, Shun Kojima, Kazuki Maruta, and Chang-Jun Ahn, “Adaptive Spreading Factor Assignment for VLC-OFDM-IDMA with PIC,”


2021/8/6

オンラインで開催される VTC 2021 - Fall Workshopに共著論文がacceptされました。

■ He He, Shun Kojima, Kentaro Yonei, Kazuki Maruta, and Chang-Jun Ahn, Variable Frame Splitting for Polar Coded MIMO E-SDM in Fast Fading Channel,


2021/7/13

オンラインで開催される VTC 2021 - Fall主著論文がacceptされました。

■ Shun Kojima, Yi Feng, Kazuki Maruta, Kanemitsu Ootsu, Takashi Yokota, Chang-Jun Ahn, and Vahid Tarokh, Investigation of Input Signal Representation to CNN for Improving SNR Classification Accuracy," 


2021/5/28

無線通信システム研究会活動奨励賞を受賞しました。


2021/4/28

IEEE Transactions on Communications (IF: 5.646 ) に主著論文がacceptされました。

■ Shun Kojima, Kazuki Maruta, Yi Feng, Chang-Jun Ahn, and Vahid Tarokh, “CNN based Joint SNR and Doppler Shift Classification using Spectrogram Images for Adaptive Modulation and Coding,” 


2021/4/1

宇都宮大学学術院に助教として着任しました。


2021/3/1

以下の論文が第15回信号処理学会論文賞を受賞しました。

■ Shun Kojima, Koya Watanabe, Kazuki Maruta and Chang-Jun Ahn, “Joint Adaptive Modulation and Transmit Power Control on Frequency Symbol Spreading OFDM Mobile Relay System," Journal of Signal Processing, vol. 23, no. 3, pp. 83-93, May 2019.


2021/1/20

IEEE Access (IF: 3.745 ) に共著論文がacceptされました。

■ Kosuke Shima, Shun Kojima, Koki Ito, Kazuki Maruta, and Chang-Jun Ahn, “Adaptive Subcarrier Grouping for MMSE-SMI Adaptive Array Interference Suppression,” 


2020/10/28

 オンラインで開催されるICETC2020に論文がacceptされました。

  ■ Yuta Goto, Shun Kojima, Koki Ito, Naoya Tanuma, Kakeru Matsubara, Kazuki Maruta, and Chang-Jun Ahn, “A Preamble-less Symbol Timing Synchronization for OFDM Systems Using Convolutional Neural Networks,” 

 ■ Yoto Namie, Shun Kojima, Kazuki Maruta, and Chang-Jun Ahn, “Convolutional Neural Network aided SNR Estimation Using IQ Constellation Images,”

 ■ He He, Shun Kojima, Kazuki Maruta, and Chang-Jun Ahn, “GRNN based Channel Estimation using Scattered Pilot and RBF Interpolation,”

 ■ Shun Kojima, Kosuke Shima, Kazuki Maruta, and Chang-Jun Ahn, “K-Factor Estimation based on Spectrogram Images by Convolutional Neural Network,”


2020/9/3

 オンラインで開催されるWPMC2020に共著論文がacceptされました。

  ■ Seiya Hirano, Kazushi Shimada, Shun Kojima, Kazuki Maruta, Chang-Jun Ahn, “Reducing FBI and MLI Using FSS Method for Adaptive Modulated VLC-OFDM System,” 


2020/7/3

 発表予定です。

  ■ 2020年7月8日:電子情報通信学会RCS研究会@オンライン開催


2020/5/28

IEEE VTS Tokyo/Japan Chapter 2020 Young Researcher’s Encouragement Awardを受賞しました。


2020/4/16

 発表予定です。

  ■ 2020年4月23日:電子情報通信学会RCS研究会@オンライン開催

  ■ 2020年5月25~28日:VTC2020-Spring @オンライン開催


2020/2/29

Belgium の Antwerp で開催される VTC 2020 - Spring に共著論文がacceptされました。

■ Kazuki Maruta, Shun Kojima, Chang-Jun Ahn, Daisuke Hisano, Yu Nakayama, “Blind SIR Estimation by Convolutional Neural Network Using Visualized IQ Constellation,” 


2020/2/12

電気通信普及財団の海外渡航旅費援助に採択されました。


2020/1/11

Belgium の Antwerp で開催される VTC 2020 - Spring に筆頭論文がacceptされました。

■ Shun Kojima, Kazuki Maruta and Chang-Jun Ahn, “High-precision SNR Estimation by CNN using PSD Image for Adaptive Modulation and Coding," 


2019/10/05

IEEE Access (IF: 4.098) に筆頭論文がacceptされました。

■ Shun Kojima, Kazuki Maruta and Chang-Jun Ahn, “Adaptive Modulation and Coding using Neural Network based SNR Estimation,” 


2019/9/5

第3回コミュニケーションクオリティ学生ワークショップ優秀ポスター賞を受賞しました。


2019/9/1

 発表予定です。

  ■ 2019年9月5日:第3回CQ学生ワークショップ @大学セミナーハウス(東京)

  ■ 2019年10月24日:電子情報通信学会RCS研究会 @横須賀テレコムリサーチパーク (神奈川)


2019/7/2

 IEICE Communications Express に共著論文が accept されました。

 ■ Takaki Omura, Shun Kojima, Kazuki Maruta and Chang-Jun Ahn, “Neural Network based Channel Identification and Compensation,”   


2019/6/13

 発表予定です。

  ■2019年6月21日:電子情報通信学会RCS研究会 @宮古島平良港ターミナルビル

      ・小島 駿, 丸田一輝, 安 昌俊, "適応変調符号化のためのニューラルネットワークを用いたSNR推定,"

  ■2019年7月11日:電子情報通信学会RCS研究会 @I-Site なんば(大阪)

      ・小島 駿, 丸田一輝, 安 昌俊, "畳み込みニューラルネットワークを用いたSNR推定法,"


2019/6/12 

 日本学生支援機構第一種奨学金(2017年4月~2018年9月)の返還免除(全額)が決定しました。


2019/5/24 

  日本学生支援機構第一種奨学金(2018年10月~2021年10月)の返還免除対象者に内定しました。