Publication

1. Shun Kojima and Shinya Sugiura, "Random pilot activation and interpolated channel estimation for physical-layer secret key generation in correlated eavesdropping channel," IEEE Transactions on Vehicular Technology, Early Access, pp. 1 - 13, Apr. 2024. DOI: 10.1109/TVT.2024.3386597 

2. Shun Kojima and Shinya Sugiura, "User-independent randomized pilot activation for secure key generation," IEEE Transactions on Wireless Communications, Early Access, pp. 1 - 12, Apr. 2024. DOI: 10.1109/TWC.2024.3383868 

3. Takashi Yokota, Kanemitsu Ootsu, Shun Kojima, "Enhancing Cup-Stacking Method for Collective Communication," IEICE Transactions on Information and Systems, vol. E106-D, no. 11, pp. 1808-1821, Nov. 2023. DOI: 10.1587/transinf.2022EDP7179

4. Yuta Matsuzaki, Shun Kojima, and Shinya Sugiura, "Deep-Learning-Based Physical-Layer Lightweight Authentication in Frequency-Division Duplex Channel," IEEE Communications Letters, vol. 27, no. 8, pp.1969-1973, Jun. 2023. DOI: 10.1109/LCOMM.2023.3286043 

5. Shun Kojima, Yuta Goto, Kazuki Maruta, Shinya Sugiura, and Chang-Jun Ahn, "Timing Synchronization Based on Supervised Learning of Spectrogram for OFDM Systems," IEEE Transactions on Cognitive Communications and Networking, vol. 9, no. 5, pp. 1141-1154, Oct. 2023. DOI: 10.1109/TCCN.2023.3280159 

6. He He, Jun-Han Wang, Shun Kojima, Kazuki Maruta, and Chang-Jun Ahn, "Regression CNN based Fast Fading Channel Tracking using Decision Feedback Channel Estimation," Journal of Signal Processing, vol. 27, no. 3, pp. 49 - 57 , May 2023. DOI: 10.2299/jsp.27.49 

7. He He, Jun-Han Wang, Shun Kojima, Kazuki Maruta, and Chang-Jun Ahn, "Data-aided weight with Subcarrier Grouping for Adaptive Array Antenna," Journal of Communications Software and Systems, vol. 18, no. 4, pp. 343-449, Dec. 2022. DOI: 10.24138/jcomss-2022-0109 

8. He He, Shun Kojima, Kazuki Maruta, and Chang-Jun Ahn, "Adaptive Zero-Padding with Impulsive Training Signal MMSE-SMI Adaptive Array Interference Suppression," IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, vol. E106-A, no. 4, pp. 674 - 682 , Apr. 2023. DOI: 10.1587/transfun.2022eap1070

9. Takashi Yokota, Kanemitsu Ootsu, and Shun Kojima, "On a Cup-Stacking Concept in Repetitive Collective Communication," IEICE Transactions on Information and Systems, vol. E105-D, no. 7, pp. 1325-1329 , Jul. 2022. DOI: 10.1587/transinf.2021EDL8098 

10. Hiroaki Kobayashi, Shun Kojima, Kazuki Maruta, Takatoshi Sugiyama, and Chang-Jun Ahn, "CNN-based Blind SIR Classification Framework for STPA-BAA Spectrum Superposing," Elsevier ICT Express, vol. 9, no. 1, pp. 57-62, Feb. 2023. DOI: 10.1016/j.icte.2021.12.009

11. 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," IEEE Access, vol. 9, pp. 142425-142436, Oct. 2021. DOI: 10.1109/ACCESS.2021.3121399

12. He He, Shun Kojima, Takaki Omura, Kazuki Maruta, and Chang-Jun Ahn, "Generalized Regression Neural Network based Channel Identification and Compensation Using Scattered Pilot," Radioengineering, vol. 30, no. 4, pp. 695-703, Oct. 2021.  DOI: 10.13164/re.2021.0695 

13. Kazushi Shimada, Shun Kojima, Kazuki Maruta, Chang-Jun Ahn, "Adaptive Spreading Factor Assignment for VLC-OFDM-IDMA with PIC," IEICE Communications Express, vol. 10, no. 11, pp. 852-857, Aug. 2021. DOI: 10.1587/comex.2021XBL0145 [Top Downloaded Letter Award]

14. 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," IEEE Transactions on Communications, vol. 69, no. 8, pp. 5152-5167, May 2021. DOI: 10.1109/TCOMM.2021.3077565 

15. Kosuke Shima, Shun Kojima, Koki Ito, Kazuki Maruta, and Chang-Jun Ahn, "Adaptive Subcarrier Grouping for MMSE-SMI Adaptive Array Interference Suppression," IEEE Access, vol. 9,  pp. 18361-18372, Jan. 2021. DOI: 10.1109/ACCESS.2021.3053989 

16. Shun Kojima, Kazuki Maruta, and Chang-Jun Ahn, "Adaptive Modulation and Coding using Neural Network based SNR Estimation," IEEE Access, vol. 7, pp. 183545-183553, 2019. DOI: 10.1109/ACCESS.2019.2946973 

17. Takaki Omura, Shun Kojima, Kazuki Maruta, and Chang-Jun Ahn, "Neural Network based Channel Identification and Compensation," IEICE Communications Express, vol. 8, no. 10, pp. 416-421, Jul. 2019.  DOI: 10.1587/comex.2019XBL0095 

18. Takashi Akao, Koya Watanabe, Shun Kojima, Masato Katsuno, Kazuki Maruta, and Chang-Jun Ahn, “Reducing Channel  Spatial Correlation by Rotating Planar Antenna Array," Elsevier ICT Express, vol. 5, no. 4, pp. 271-275, Dec. 2019. DOI: 10.1016/j.icte.2019.03.004 

19. Koya Watanabe, Shun Kojima, Takashi Akao, Masato Katsuno, Kazuki Maruta, and Chang-Jun Ahn, “Modified Pilot Selection for Channel Estimation of Systematic Polar Coded MIMO-OFDM,″ Elsevier ICT Express, vol.5, no.4, pp. 276-279, Dec. 2019. DOI: 10.1016/j.icte.2019.03.002 

20. 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. DOI: 10.2299/jsp.23.83 [RISP Best Paper Award]

21. Shun Kojima, Kazuki Maruta, and Chang-Jun Ahn, "Throughput Maximization by Adaptive Switching with Modulation Coding Scheme and Frequency Symbol Spreading," Journal of Communications Software and Systems, vol. 14, no. 4, pp. 332-339, Nov. 2018. DOI: 10.24138/jcomss.v14i4.616 

International Conferences (25)

1. Kosuke Tamura, Shun Kojima, Shinya Sugiura, Jaesang Cha, and Chang-Jun Ahn, "Accurate and Doppler Robust SNR Estimation using Multimodal CNN," Proc. IEEE 99th Vehicular Technology Conference (VTC 2024 - Spring), pp. 1 - 5, Singapore, Jun. 2024. (to be presented)

2. Kazuki Maruta and Shun Kojima, "Blind Array Algorithm Adaptation by CNN-assisted SIR Estimation using IQ Constellation," Proc. ASPIRE Workshop 2024, Hiroshima, Japan, Mar. 2024. 

3. 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," IEEE International Conference on Electronics, Information, and Communication (ICEIC 2024), Taipei, Taiwan, Jan. 2024. [Best Paper Award Bronze Prize]

4. Kosuke Tamura, Shun Kojima, Kazuki Komatsu, and Chang-Jun Ahn, "Spectrally Efficient Frequency Division Multiplexing with QRM-MLD for Rician Fading Channel," 2023 International Conference on Advanced Technologies for Communications (ATC), Da Nang, Vietnam, Oct. 2023. DOI: 10.1109/ATC58710.2023.10318920 

5. Yuki Sasaki, Kazuki Maruta, Shun Kojima, Daisuke Hisano, and Yu Nakayama, "Light Source Tracking System for A-QL based Display-Camera Communication," Proc. IEEE 97th Vehicular Technology Conference (VTC 2023 - Spring), pp. 1 - 6, Florence, Italy, Jun. 2023. DOI: 10.1109/VTC2023-Spring57618.2023.10200481 

6. Yuki Sasaki, Kazuki Maruta, Shun Kojima, Daisuke Hisano, and Yu Nakayama, "Deep Learning based 2D Symbol Detection for Display-Camera Communication," Proc. IEEE Consumer Communications & Networking Conference 2023 (CCNC2023), pp. 1 - 2, Las Vegas, Nevada, USA, Jan. 2023. DOI: 10.1109/CCNC51644.2023.10060131 

7. He He, Jun-Han Wang, Shun Kojima, Kazuki Maruta, and Chang-Jun Ahn, "Data-aided weight with subcarrier grouping for Adaptive Array Interference Suppression," Proc. The Seventh International Conference on Consumer Electronics Asia 2022 (ICCE-Asia 2022), pp. 1- 4, Yeosu, South Korea, Oct. 2022. DOI: 10.1109/ICCE-Asia57006.2022.9954703 [Best Paper Award]

8. Tatsuya Tsuchiya, Kanemitsu Ootsu, Takashi Yokota, and Shun Kojima, "Assembly code translation from ARM64 to RISC-V," Proc. 23rd ACIS International Summer Virtual Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD2022-Summer), pp. 1 - 5, Kyoto, Japan, Jul. 2022. DOI: 10.1109/SNPD-Summer57817.2022.00020  [Best Student Paper Award]

9. Jintaro Nogae, Kanemitsu Ootsu, Takashi Yokota, and Shun Kojima, "Comparison of reinforcement learning in game AI," Proc. 23rd ACIS International Summer Virtual Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD2022-Summer), pp. 1 - 5, Kyoto, Japan, Jul. 2022. DOI: 10.1109/SNPD-Summer57817.2022.00022 

10. 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," Proc. IEEE 95th Vehicular Technology Conference (VTC 2022 - Spring), pp. 1 - 6, Helsinki, Finland, Jun. 2022. DOI: 10.1109/VTC2022-Spring54318.2022.9860990 

11. Yuta Toyama, Shun Kojima, and Chang-Jun Ahn, “Performance Enhancement of Low Granularity MIMO-OFDMA Using FSS Method,” Proc. of 2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS 2021), Virtual, Nov. 2021. DOI: 10.1109/ISPACS51563.2021.9651133 

12. 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," Proc. IEEE 94th Vehicular Technology Conference (VTC 2021 - Fall), pp. 1-5, Virtual, Sep. 2021. DOI: 10.1109/VTC2021-Fall52928.2021.9625224 

13. 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," Proc. IEEE 94th Vehicular Technology Conference (VTC 2021 - Fall), pp. 1-5, Virtual, Sep. 2021. DOI: 10.1109/VTC2021-Fall52928.2021.9625566 

14. Yuta Goto, Shun Kojima, Kakeru Matsubara, Naoya Tanuma, Koki Ito, Kazuki Maruta, and Chang-Jun Ahn, "A Preamble-less Symbol Timing Synchronization for OFDM Systems Using Convolutional Neural Networks," International Conference on Emerging Technologies for Communications (ICETC2020), Dec. 2020. DOI: 10.34385/proc.63.I1-5 

15. Yoto Namie, Shun Kojima, Kazuki Maruta, and Chang-Jun Ahn, "Convolutional Neural Network aided SNR Estimation Using IQ Constellation Images," International Conference on Emerging Technologies for Communications (ICETC2020), Dec. 2020. DOI: 10.34385/proc.63.P1-5 

16. He He, Shun Kojima, Kazuki Maruta, and Chang-Jun Ahn, "GRNN based Channel Estimation using Scattered Pilot and RBF Interpolation," International Conference on Emerging Technologies for Communications (ICETC2020), Dec. 2020. DOI: 10.34385/proc.63.O1-2 

17. Shun Kojima, Kosuke Shima, Kazuki Maruta, and Chang-Jun Ahn, "K-Factor Estimation based on Spectrogram Images by Convolutional Neural Network," International Conference on Emerging Technologies for Communications (ICETC2020), pp. 1-5, Dec. 2020. DOI: 10.34385/proc.63.D3-2 

18. Seiya Hirano, Kazushi Shimada, Shun Kojima, Kazuki Maruta, and Chang-Jun Ahn, "Reducing FBI and MLI Using FSS Method for Adaptive Modulated VLC-OFDM System," The International Symposium on Wireless Personal Multimedia Communications (WPMC 2020), pp.1-5, Virtual, Oct. 2020. DOI: 10.1109/WPMC50192.2020.9309516 

19. Kazuki Maruta, Shun Kojima, Chang-Jun Ahn, Daisuke Hisano, and Yu Nakayama, “Blind SIR Estimation by Convolutional Neural Network Using Visualized IQ Constellation,” Proc. IEEE 91th Vehicular Technology Conference (VTC 2019 - Spring), pp. 1-2, Virtual, May 2020. DOI: 10.1109/VTC2020-Spring48590.2020.9128719 

20. Shun Kojima, Kazuki Maruta, and Chang-Jun Ahn, "High-precision SNR Estimation by CNN using PSD image for Adaptive Modulation and Coding," Proc. IEEE 91th Vehicular Technology Conference (VTC 2019 - Spring), pp. 1-5, Virtual, May 2020. DOI: 10.1109/VTC2020-Spring48590.2020.9129413 [Yong Researcher's Encouragement Award]

21. Takashi Akao, Koya Watanabe, Shun Kojima, Masato Katsuno, Kazuki Maruta, and Chang-Jun Ahn, "Reducing Channel Spatial Correlation by Rotating Planar Antenna Array," Proc. The 2018 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS 2018), Okinawa, Japan, Nov. 2018. DOI: 10.1109/ISPACS.2018.8923368 

22. Koya Watanabe, Shun Kojima, Takashi Akao, Masato Katsuno, Kazuki Maruta, and Chang-Jun Ahn, "Modified Pilot Selection for Systematic Polar Coded MIMO-OFDM Channel Estimation," Proc. The 2018 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS 2018), Okinawa, Japan, Nov. 2018. DOI: 10.1109/ISPACS.2018.8923173 

23. Takaki Omura, Shun Kojima, Kazuki Maruta, and Chang-Jun Ahn, "Neural Network based Channel Identification and Compensation," Proc. The 18th  International Symposium on Communications and Information Technologies (ISCIT 2018), pp. 349-354, Bangkok, Thai, Sep. 2018. DOI: 10.1109/ISCIT.2018.8587981 

24. Shun Kojima, Takashi Akao, Koya Watanabe, Masato Katsuno, Kazuki Maruta, and  Chang-Jun Ahn, "Adaptive Switching Method with AMC and FSS," Proc. The 26th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2018), pp. 1-6, Split-Supetar, Croatia, Sep. 2018. DOI: 10.23919/SOFTCOM.2018.8555762 [Best Paper Award]

25. Shun Kojima, Ken Tezuka, Kazuki Maruta, and Chang-Jun Ahn, "Optimized Adaptive Modulation with Considering Mobile Relay on FSS-OFDM System," Proc. The International Symposium on Wireless Personal Multimedia Communications (WPMC 2017), pp. 41-45, Yogyakarta, Indonesia, Dec. 2017. DOI: 10.1109/WPMC.2017.8301847   

Domestic Conferences (42)

1. 小島駿, 杉浦慎哉, "NOMA におけるグループ鍵共有手法に関する一検討," 電子情報通信学会, 総合大会, no. B-5-2, 2024年3月.

2. 丁 晟, 小島駿, 杉浦慎哉, "ラージスケールフェージング下におけるチャネル選択に基づく秘密鍵生成の信頼性向上," 電子情報通信学会, 総合大会, no. B-5-1, 2024年3月.

3. 田村幸佑, 小島駿, 中野宏紀, 丸田一輝, 安昌俊, "マルチモーダルCNNによる少量データセットにおける高精度なSNR分類," 電子情報通信学会, ソサイエティ大会, no. B-5-83, 2023年9月.

4. 小島駿, 杉浦慎哉, "秘密鍵生成におけるパイロット信号のランダム削減と補間に関する一検討," 電子情報通信学会, ソサイエティ大会, no. B-5-82, 2023年9月.

5. 小松和暉, 小島駿, 上原秀幸, "ランダムDFT拡散スペクトル有効周波数分割多重と期待値伝播法に基づく低計算量復調法," 信学技報,vol. 123, no. 76, RCS2023-59, pp. 182-187, 2023年6月.

6. 澤木拓夢, 小島駿, 今井健太郎, 横田隆史, 大津金光, "知能反射面を用いた可視光通信システムにおける機械学習によるチャネル推定の高精度化," 電子情報通信学会, 総合大会, no. B-10-27, 2023年3月.

7. 小島駿, 杉浦慎哉, "物理層秘密鍵生成における補間手法を用いた性能改善の一検討," 電子情報通信学会, 総合大会, no. B-5-133, 2023年3月.

8. 田村幸佑, 小島駿, 赫赫, 丸田一輝, 安昌俊, "GANによるドップラーシフトに堅牢なデータセットの拡張," 電子情報通信学会, 総合大会, no. B-5-5, 2023年3月.

9. 佐々木友基, 丸田一輝, 小島駿, 久野大介, 中山悠, "OCCの移動環境における受信方式に関する検討," 信学技報, vol. 122, no. 357, RCS2022-211, pp. 19-24, 2023年1月.

10. 小島駿, 小松和暉, 松村武, 大津金光, 横田隆史, "スペクトル有効周波数分割多重における深層学習を用いた通信環境推定の検討," 信学技報, vol. 122, no. 252, RCS2022-181, pp. 149-154, 2022年11月.

11. 小松和暉, 小島駿, 松村武, "ハール・プリコーティングを用いる大規模スペクトル有効周波数分割多重と期待値伝播法に基づく並列干渉除去復調法の性能評価," 信学技報, vol. 122, no. 235, RCS2022-141, pp. 59-64, 2022年10月.

12. 佐々木友基, 丸田一輝, 小島駿, 久野大介, 中山悠, "A-QLに基づくOCCにおける動的光源追従システム," 電子情報通信学会, 革新的無線通信技術に関する横断型研究会(MIKA2022), 2022年10月.

13. 生田時空王, 佐々木友基, 丸田一輝, 小島駿, 久野大介, 中山悠, "OCCにおける非線形クロストーク補償のための撮像パラメータ最適化," 電子情報通信学会, 革新的無線通信技術に関する横断型研究会(MIKA2022), 2022年10月.

14. 佐々木友基, 丸田一輝, 小島駿, 久野大介, 中山悠, "A-QLに基づくOCCにおける動的光源追従のための送信フォーマット," 電子情報通信学会, ソサイエティ大会, no. B-15-6, 2022年9月.

15. 小島駿, 赫赫, 王君ハン, 丸田一輝, 安昌俊,  "敵対的生成ネットワークによる受信信号データセットの拡張," 電子情報通信学会, ソサイエティ大会, no. B-5-9, 2022年9月.

16. 小島駿, 丸田一輝, 横田隆史, 大津金光, "回帰型CNNによるSNR推定と適応変調符号化への応用," 電子情報通信学会, 総合大会, no. B-5-65, 2022年3月.

17. 永池晃太朗, 大津金光, 横田隆史, 小島駿, "独自ベクトル処理機能を備えたプロセッサ向け自動ベクトル化コンパイラの開発," 情報処理学会, 第84回全国大会講演論文集, pp. 1-113-1-114, 2022年3月. 

18. 岸本進太郎, 大津金光, 横田隆史, 小島駿, "組込みシステム向けにSDRAMを効率的に活用するベクトルメモリアクセス機構の設計," 情報処理学会, 第84回全国大会講演論文集, pp. 1-97-1-98, 2022年3月. 

19. 澤木拓夢, 小島駿, 今井健太郎, 大津金光, 横田隆史, "知能反射面を用いた可視光通信システムの一検討," 情報処理学会, 第84回全国大会講演論文集, pp. 3-385-3-386, 2022年3月. 

20. 寺島祐作, 大津金光, 横田隆史, 小島駿, "異なるOSが混在する環境でのMPI並列実行方式の検討," 情報処理学会, 第84回全国大会講演論文集, pp. 1-133-1-134, 2022年3月. 

21. 小島駿, 丸田一輝, Yi Feng, 横田隆史, 大津金光, 安昌俊, Vahid Tarokh, "深層学習による複数の通信環境情報の推定可能性に関する検討," 信学技報, vol. 121, no. 391, RCS2021-285, pp. 164-169, 2022年3月. 

22. 小島駿, Yi Feng, 丸田一輝, 安昌俊, Vahid Tarokh, "機械学習によるマルチユーザ通信環境情報推定における分類精度の改善," 信学技報, vol. 121, no. 7, RCS2021-10, pp. 42-47, 2021年4月. 

23. 小島駿, 丸田一輝, 安昌俊, "受信信号スペクトログラムを用いた深層学習による複数の通信環境情報の推定可能性に関する検討,"  信学技報, vol. 120, no. 322, RCS2020-188, pp. 188-193, 2021年1月. [研究専門委員会推薦論文制度対象論文]

24. 小島駿, 島康介, 丸田一輝, 安昌俊, "畳み込みニューラルネットワークによるスペクトログラム画像に基づくKファクタ推定,"  信学技報, vol. 120, no. 298, RCS2020-153, pp. 103-108, 2020年12月.

25. 小島駿, 丸田一輝, 安昌俊, "スペクトログラムを用いたCNNによる通信環境推定法における処理速度・スループット評価,"  信学技報, vol. 120, no. 89, RCS2020-58, pp. 1-6, 2020年7月. [研究専門委員会推薦論文制度対象論文]

26. 丸田一輝, 小島駿, 久野大介, 中山悠,  "深層学習を用いたSIR推定によるブラインドアダプティブアレー干渉抑圧効果," 信学技報, vol. 120, no. 89, RCS2020-71, pp. 79-83, 2020年7月. [依頼講演] 

27. 小島駿, Yi Feng, 丸田一輝, 安昌俊, Vahid Tarokh, "マルチユーザ環境におけるスペクトログラムを使用したSNR・ドップラーシフト同時検出法に関する検討," 信学技報, vol. 120, no. 10, RCS2020-4, pp. 19-24, 2020年4月. 

28. 後藤佑太, 小島駿, 丸田一輝, 安昌俊, “ニューラルネットワークを利用したOFDMシステムのシンボルタイミング同期法,” 電子情報通信学会, 総合大会, no. B-8-34, 2020年3月.

29. 平野星也, 高橋光貴, 小島駿, 丸田一輝, 安昌俊, “VLC-OFDM-IDMAシステムにおけるFSSを用いたSICの性能改善 ,” 電子情報通信学会, 総合大会, no. B-8-33, 2020年3月.

30. 小島駿, 丸田一輝, 安昌俊, “スペクトログラムを用いた通信環境推定法によるスループット特性評価,” 電子情報通信学会, 総合大会, no. B-5-37, 2020年3月.

31. 浪江耀人, 小島駿, 丸田一輝, 安昌俊, “コンスタレーションを用いた畳み込みニューラルネットワークによるSNR推定,” 電子情報通信学会, 総合大会, no. B-5-36, 2020年3月.

32. 小島駿, 丸田一輝, 安昌俊, “スペクトログラムを用いた畳み込みニューラルネットワークによるSNR・ドップラー周波数の推定に関する一検討,” 信学技報, vol. 119, no. 244, RCS2019-178, pp. 1-6, 2019年10月. [研究専門委員会推薦論文制度対象論文]

33. 丸田一輝, 小島駿, 安昌俊,  "深層学習を用いた受信信号からの通信環境推定," 電子情報通信学会 革新的無線通信技術に関する横断型研究会(MIKA), 2019年10月. [依頼講演] 

34. 小島駿, 丸田一輝, 安昌俊, “スペクトログラムを用いた畳み込みニューラルネットワークによるSNR・ドップラー周波数の推定,” 第3回CQ学生ワークショップ, 2019年9月. [優秀ポスター賞]

35. 丸田一輝,  小島駿, 中山悠, 久野大介, 安昌俊, “無線信号の可視化情報を用いた深層学習によるSIR推定,” 信学技報, vol. 119, no. 108, RCS2019-120, pp. 107-108, 2019年7月. 

36. 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," 信学技報, vol. 119, no. 108, RCS2019-131, pp. 149-154, 2019年7月. 

37. 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," 信学技報, vol. 119, no. 90, RCS2019-94, pp. 333-338, 2019年6月. 

38. 丸田一輝,  小島駿, 中山悠, 久野大介, 安昌俊, “無線信号の可視化情報を用いた機械学習による干渉推定,” MIKA技術交流会, 2019年2月. 

39. 小島駿, 丸田一輝, 安昌俊, “周波数シンボル拡散を用いた適応変調符号化,” 信学技報, vol. 118, no. 254, RCS2018-164, pp. 71-76, 2018年10月.

40. 大村高輝, 小島駿, 丸田一輝, 安昌俊, “ニューラルネットワークを利用したチャネル推定・補償,” 電子情報通信学会, 総合大会, no. B-8-26, pp. 167, 2018年3月.

41. 小島駿, 丸田一輝, 安昌俊, “FSS-OFDMシステムにおける最適化適応変調と送信電力制御,” 電子情報通信学会, ソサイエティ大会, no. B-5-4, pp. 253, 2017年9月.

42. 小島駿, 手塚賢, 安昌俊, “中継ノードのモビリティ―を考慮した最適化適応変調,” 電子情報通信学会, 総合大会, no. B-8-6, pp. 179, 2017年3月.

MISC (2)