イギリスサウサンプトン大学のLajos Hanzo教授のグループにVisiting Scholarとして滞在します。（7月～9月）
研究室ホームページを公開しました。
戦略的創造研究推進事業（ACT-X） 加速フェーズ研究課題に採択されました。
I joined Yokohama National University as Assistant Professor.
横浜国立大学に助教（PI）として着任しました。
Conference paper has been accepted to ICC 2025 Workshop in Montreal, Canada.
■ Shun Kojima and Shinya Sugiura, "Group Secret Key Distribution Based on Physical-Layer Key Generation and NOMA-Assisted Downlink,"
日本学術振興会 科学研究費助成事業 基盤研究(B)（代表）に採択されました。
Journal paper has been accepted in IEEE Access.
■ 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,"
Conference paper has been accepted to APCC 2024 in Bali, Indonesia.
■ Jun-han Wang, He He, Kosuke Tamura, Shun Kojima, Jaesang Cha, and Chang-Jun Ahn, "Optimization of Vehicular Network Resource Allocation Based on MAAC Algorithm,"
Journal paper has been accepted in IEEE Transactions on Machine Learning in Communications and Networking.
■ Kosuke Tamura, Shun Kojima*, Phuc V. Trinh, Shinya Sugiura, and Chang-Jun Ahn, "Joint SNR and Rician K-Factor Estimation Using Multimodal Network over Mobile Fading Channels,"
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,"
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,"
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,"
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)
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,"
高柳健次郎財団2023年度研究奨励賞を受賞しました。
産総研「覚醒プロジェクト」に採択されました。
The research proposal has been accepted for The Okawa Research Foundation.
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,"
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,"
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,"
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,"
Received IEICE Young Researcher’s Award.
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,”
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,"
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,"
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,"
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,"
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,"
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)
I joined Sugiura Lab, Institute of Industrial Science, The University of Tokyo as a project research associate.
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,"
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,"
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,”
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)
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)
電気通信普及財団 研究調査助成に採択されました。
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。
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)
放送文化基金の研究助成に採択されました。
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,”
KDDI財団の調査研究助成に採択されました。
ICT Express (IF: 4.317)に共著論文が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,"
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。
パワーアカデミー研究助成「萌芽研究」に採択されました。
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,"
カシオ財団の研究助成に採択されました。
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。
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,"
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,”
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,”
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,"
オンラインで開催される VTC 2021 - Fall に主著論文が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,"
無線通信システム研究会活動奨励賞を受賞しました。
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,”
宇都宮大学学術院に助教として着任しました。
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.
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,”
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,”
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,”
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
IEEE VTS Tokyo/Japan Chapter 2020 Young Researcher’s Encouragement Awardを受賞しました。
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
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,”
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。
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,"
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,”
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。
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）
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,”
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,"
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。
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。