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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| RCS | 2023-06-15 15:35 |
Hokkaido | Hokkaido University, and online (Primary: On-site, Secondary: Online) |
Randomized DFT Spread Spectrally Efficient Frequency Division Multiplexing and Low-Complexity Expectation-Propagation Detection Kazuki Komatsu (Toyohashi Univ. of Tech.), Shun Kojima (Univ. of Tokyo), Hideyuki Uehara (Toyohashi Univ. of Tech.)  RCS2023-59 |
Spectrally-efficient frequency division multiplexing (SEFDM) can transmit the same amount of data in a narrower bandwidt... [more] | RCS2023-59 pp.182-187 |
| IT, RCS, SIP | 2023-01-24 11:30 |
Gunma | Maebashi Terrsa (Primary: On-site, Secondary: Online) |
Investigation of OCC Reception Scheme in Moving Environment Yuki Sasaki, Kazuki Maruta (Tokyo Univ. of Science), Shun Kojima (Univ. of Tokyo), Daisuke Hisano (Osaka Univ.), Yu Nakayama (TUAT) IT2022-32 SIP2022-83 RCS2022-211 |
Visible light communication (VLC) has been getting more and more attention toward 6G, which aims to realize coverage ext... [more] | IT2022-32 SIP2022-83 RCS2022-211 pp.19-24 |
| RCS, AP, UWT (Joint) |
2022-11-17 14:35 |
Fukuoka | Kyushu University, and Online (Primary: On-site, Secondary: Online) |
A Study of Communication Environment Estimation Using Deep Learning in Spectrally Efficient Frequency Division Multiplexing Shun Kojima (Tokyo Univ.), Kazuki Komatsu, Takeshi Matsumura (NICT), Kanemitsu Ootsu, Takashi Yokota (Utsunomiya Univ.) RCS2022-181 |
[more] | RCS2022-181 pp.149-154 |
| RCS | 2022-10-28 09:00 |
Ehime | Ehime University, and online (Primary: On-site, Secondary: Online) |
Performance Evaluation of Large Spectrally Efficient Frequency Division Multiplexing with Haar Precoding and Its Parallel Interference Cancellation and Detection Based on Expectation Propagation Kazuki Komatsu (NICT), Shun Kojima (Univ. Tokyo), Takeshi Matsumura (NICT) RCS2022-141 |
By narrowing the frequency spacing of each subcarrier, spectrally-efficient frequency division multiplexing (SEFDM) can ... [more] | RCS2022-141 pp.59-64 |
| MIKA (3rd) |
2022-10-13 11:10 |
Niigata | Niigata Citizens Plaza (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Light Source Tracking System for A-QL based OCC Yuki Sasaki, Kazuki Maruta (Tokyo Univ. of Science), Shun Kojima (Univ. of Tokyo), Daisuke Hisano (Osaka Univ.), Yu Nakayama (TUAT) |
Visible light communication (VLC) has been getting more and more attention toward 6G, which aims to realize mobile commu... [more] | |
| MIKA (3rd) |
2022-10-13 11:10 |
Niigata | Niigata Citizens Plaza (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Imaging Parameter Optimization for OCC Non-Linear Cross-talk Compensation Tokio Ikuta, Yuki Ssaki, Kazuki Maruta (Tokyo Univ. of Science), Shun Kojima (Univ. of Tokyo), Daisuke Hisano (Osaka Univ.), Yu Nakayama (TUAT) |
Optical Camera Communication (OCC) can be realized using general-purpose devices such as LEDs or displays as the transmi... [more] | |
| RCS, SR, SRW (Joint) |
2022-03-04 10:20 |
Online | Online | [Encouragement Talk]
A Study on the Possibility of Estimating Multiple Communication Environment Information by Deep Learning Shun Kojima (Utsunomiya Univ.), Kazuki Maruta (Tokyo Tech.), Yi Feng (Aptiv), Takashi Yokota, Kanemitsu Ootsu (Utsunomiya Univ.), Chang-Jun Ahn (Chiba Univ.), Vahid Tarokh (Duke Univ.) RCS2021-285 |
In the next generation mobile radio communication systems, it is essential to obtain the communication environment infor... [more] | RCS2021-285 pp.164-169 |
| RCS | 2021-04-23 09:45 |
Online | Online | Improving Classification Accuracy in Multi-User Communication Environment Information Estimation by Machine Learning Shun Kojima (Utsunomiya Univ.), Yi Feng (Duke Univ.), Kazuki Maruta (Tokyo Tech.), Chang-Jun Ahn (Chiba Univ.), Vahid Tarokh (Duke Univ.) RCS2021-10 |
Recently, due to the increasing demand for wireless data traffic, highly efficient multiple access methods such as OFDMA... [more] | RCS2021-10 pp.42-47 |
| SIP, IT, RCS | 2021-01-22 15:15 |
Online | Online | A Study on the Possibility of Estimating Multiple Communication Environment Information by Deep Learning Method Using Received Signal Spectrogram Shun Kojima (Chiba Univ.), Kazuki Maruta (Tokyo Tech.), Chang-Jun Ahn (Chiba Univ.) IT2020-97 SIP2020-75 RCS2020-188 |
In the next generation mobile radio communication systems, it is essential to obtain the communication environment infor... [more] | IT2020-97 SIP2020-75 RCS2020-188 pp.188-193 |
| NS, RCS (Joint) |
2020-12-18 15:50 |
Online | Online | K-Factor Estimation based on Spectrogram Images by Convolutional Neural Network Shun Kojima, Kosuke Shima (Chiba Univ.), Kazuki Maruta (Tokyo Tech), Chang-Jun Ahn (Chiba Univ.) RCS2020-153 |
In the next generation mobile communications systems, accurate and fast acquisition of the communication environment is ... [more] | RCS2020-153 pp.103-108 |
| SR, NS, SeMI, RCC, RCS (Joint) |
2020-07-08 10:00 |
Online | Online | Evaluation of Processing Speed and Throughput in CNN-based Communication Environment Estimation Method using Spectrograms Shun Kojima (Chiba Univ.), Kazuki Maruta (Tokyo Tech), Chang-Jun Ahn (Chiba Univ.) RCS2020-58 |
[more] | RCS2020-58 pp.1-6 |
| SR, NS, SeMI, RCC, RCS (Joint) |
2020-07-09 15:00 |
Online | Online | [Invited Lecture]
Blind Adaptive Array Interference Suppression Performance with Deep Learning based SIR Estimation Kazuki Maruta (Tokyo Tech), Shun Kojima (Chiba Univ.), Daisuke Hisano (Osaka Univ.), Yu Nakayama (TUAT) RCC2020-8 NS2020-37 RCS2020-71 SR2020-16 SeMI2020-8 |
This paper proposes a blind interference estimation via deep learning approach exploiting the visualized wireless signal... [more] | RCC2020-8 NS2020-37 RCS2020-71 SR2020-16 SeMI2020-8 pp.37-41(RCC), pp.37-41(NS), pp.79-83(RCS), pp.43-47(SR), pp.31-35(SeMI) |
| RCS | 2020-04-23 11:45 |
Online | Online | Deep Learning based Joint SNR and Doppler Shift Detection using Multiuser Spectrogram Shun Kojima (Chiba Univ.), Yi Feng (Duke Univ.), Kazuki Maruta, Chang-Jun Ahn (Chiba Univ.), Vahid Tarokh (Duke Univ.) RCS2020-4 |
[more] | RCS2020-4 pp.19-24 |
| RCS | 2019-10-24 09:30 |
Kanagawa | Yokosuka Research Park | SNR estimation method using convolutional neural network Shun Kojima, Kazuki Maruta, Chang-Jun Ahn (Chiba Univ.) RCS2019-178 |
[more] | RCS2019-178 pp.1-6 |
| MIKA (2nd) |
2019-10-03 13:05 |
Hokkaido | Hokkaido Univ. | [Invited Lecture]
Deep Learning Based Communication Environment Estimation Using Received Signals Kazuki Maruta, Shun Kojima, Chang-Jun Ahn (Chiba Univ.) |
The performance of wireless communication greatly depends on the propagation environment. Adaptive modulation and codi... [more] |
|
| CQ (2nd) |
2019-09-05 10:40 |
Tokyo | Inter-University Seminar House | [Poster Presentation]
The estimation method of SNR and Doppler frequency by convolutional neural network using spectrogram Shun Kojima, Kazuki Maruta, Chang-Jun Ahn (Chiba Univ.) |
[more] | |
| SeMI, RCS, NS, SR, RCC (Joint) |
2019-07-11 10:40 |
Osaka | I-Site Nanba（Osaka） | [Poster Presentation]
Blind SIR Estimation by Deep Learning Using Visualized Wireless Signal Information Kazuki Maruta, Shun Kojima (Chiba Univ.), Yu Nakayama (TUAT), Daisuke Hisano (Osaka Univ.), Chang-Jun Ahn (Chiba Univ.) RCC2019-27 NS2019-63 RCS2019-120 SR2019-39 SeMI2019-36 |
This article proposes the blind interference estimation via deep learning approach exploiting the visualized wireless si... [more] | RCC2019-27 NS2019-63 RCS2019-120 SR2019-39 SeMI2019-36 pp.85-86(RCC), pp.111-112(NS), pp.107-108(RCS), pp.117-118(SR), pp.99-100(SeMI) |
| SeMI, RCS, NS, SR, RCC (Joint) |
2019-07-11 13:30 |
Osaka | I-Site Nanba（Osaka） | SNR estimation method using convolutional neural network Shun Kojima, Kazuki Maruta, Chang-Jun Ahn (Chiba Univ.) RCC2019-38 NS2019-74 RCS2019-131 SR2019-50 SeMI2019-47 |
This paper proposes a novel Adaptive Modulation and Coding (AMC) scheme enabled by Convolutional Neural Network (CNN) ai... [more] | RCC2019-38 NS2019-74 RCS2019-131 SR2019-50 SeMI2019-47 pp.127-132(RCC), pp.153-158(NS), pp.149-154(RCS), pp.159-164(SR), pp.141-146(SeMI) |
| RCS | 2019-06-21 11:40 |
Okinawa | Miyakojima Hirara Port Terminal Building | SNR Estimation by using Neural Network in Adaptive Modulation and Coding Shun Kojima, Kazuki Maruta, Chang-Jun Ahn (Chiba Univ.) RCS2019-94 |
This paper proposes a novel Adaptive Modulation and Coding (AMC) scheme enabled by Artificial Neural Network (ANN) aide... [more] |
RCS2019-94 pp.333-338 |
| RCS | 2018-10-19 09:30 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Adaptive Switching Method with AMC and FSS Shun Kojima, Kazuki Maruta, Chang-Jun Ahn (Chiba Univ.) RCS2018-164 |
In recent years, it is required to realize higher speed and higher quality mobile communication due to the increase in I... [more] | RCS2018-164 pp.71-76 |
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