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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 23  /  [Next]  
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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