Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |

IT |
2023-08-04 09:30 |
Kanagawa |
Shonan Institute of Technology (Primary: On-site, Secondary: Online) |
Deep Unfolding-based Distributed MIMO Detection Masaya Kumagai, Ayano Nakai-Kasai, Tadashi Wadayama (NITech) IT2023-21 |
This paper proposes a distributed multiple-input multiple-output signal detection algorithm based on DU (deep unfolding)... [more] |
IT2023-21 pp.38-43 |

EMM, IT |
2023-05-12 09:50 |
Kyoto |
Rakuyu Kaikan (Kyoto Univ. Yoshida-South Campus) (Primary: On-site, Secondary: Online) |
Relation on Unconstrained Convex Quadratic Programming between Gradient Method and Numerical Discretization of Gradient Flow Ayano Nakai-Kasai, Tadashi Wadayama (NITech) IT2023-7 EMM2023-7 |
This paper proves one of the properties in terms of gradient descent method and gradient flow. For unconstrained convex ... [more] |
IT2023-7 EMM2023-7 pp.31-36 |

EMM, IT |
2023-05-12 10:15 |
Kyoto |
Rakuyu Kaikan (Kyoto Univ. Yoshida-South Campus) (Primary: On-site, Secondary: Online) |
Gradient flow decoding for LDPC codes Tadashi Wadayama, Kensho Nakajima, Ayano Nakai-Kasai (NiTech) IT2023-8 EMM2023-8 |
The power consumption of the integrated circuit is becoming a significant burden, particularly for large-scale signal pr... [more] |
IT2023-8 EMM2023-8 pp.37-42 |

RCS, SR, SRW (Joint) |
2023-03-02 10:50 |
Tokyo |
Tokyo Institute of Technology, and Online (Primary: On-site, Secondary: Online) |
Precoder Optimization Using Correlation among Data for Wireless Data Aggregation Naoyuki Hayashi, Ayano Nakai-Kasai, Tadashi Wadayama (NIT) RCS2022-273 |
In this paper, we discuss precoder optimization in wireless data aggregation.
Formulate the problem of minimizing the ... [more] |
RCS2022-273 pp.149-154 |

IT, RCS, SIP |
2023-01-24 15:55 |
Gunma |
Maebashi Terrsa (Primary: On-site, Secondary: Online) |
Deep Unfolding-based Weighting in Distributed MIMO Detection Masaya Kumagai, Ayano Nakai-Kasai, Tadashi Wadayama (NITech) IT2022-49 SIP2022-100 RCS2022-228 |
This paper proposes distributed uplink MIMO (Multiple-Input Multiple-Output) signal detection algorithms based on DU (d... [more] |
IT2022-49 SIP2022-100 RCS2022-228 pp.114-119 |

NS, SR, RCS, SeMI, RCC (Joint) |
2022-07-13 16:00 |
Ishikawa |
The Kanazawa Theatre + Online (Primary: On-site, Secondary: Online) |
Precoder Design for Over-the-Air Computation in Correlated Data Aggregation on Wireless Sensor Networks Ayano Nakai-Kasai, Tadashi Wadayama (NITech) RCS2022-75 |
[more] |
RCS2022-75 pp.38-43 |

IT, EMM |
2022-05-18 13:05 |
Gifu |
Gifu University (Primary: On-site, Secondary: Online) |
Ordinary Differential Equation and Mean Squared Error Analysis for MMSE Signal Detection in MIMO Systems Ayano Nakai-Kasai, Tadashi Wadayama (NITech) IT2022-12 EMM2022-12 |
(To be available after the conference date) [more] |
IT2022-12 EMM2022-12 pp.61-66 |

IT, ISEC, RCC, WBS |
2022-03-11 12:00 |
Online |
Online |
A study of distributed MIMO signal detection based on deep unfolding Masaya Kumagai, Ayano Nakai-Kasai, Tadashi Wadayama (NITech) IT2021-113 ISEC2021-78 WBS2021-81 RCC2021-88 |
This paper proposes distributed MIMO (Multiple-Input Multiple-Output)
signal detection algorithms based on DU (deep un... [more] |
IT2021-113 ISEC2021-78 WBS2021-81 RCC2021-88 pp.174-179 |

RCS, SIP, IT |
2022-01-20 11:45 |
Online |
Online |
Noisy average consensus as Gaussian MAC channels Tadashi Wadayama (Nitech) IT2021-37 SIP2021-45 RCS2021-205 |
[more] |
IT2021-37 SIP2021-45 RCS2021-205 pp.51-56 |

RCS, SIP, IT |
2022-01-21 11:20 |
Online |
Online |
Deep-Unfolded Sparse Signal Recovery Algorithm using TopK Operator Masanari Mizutani (NITech), Satoshi Takabe (TITech), Tadashi Wadayama (NITech) IT2021-72 SIP2021-80 RCS2021-240 |
Compressed sensing for estimating sparse signals is formulated as an NP-hard problem, where LASSO based on convex relax... [more] |
IT2021-72 SIP2021-80 RCS2021-240 pp.245-251 |

IT |
2021-07-09 13:50 |
Online |
Online |
Projected gradient MIMO signal detection using Chebyshev step Asahi Mizukoshi, Tadashi Wadayama, Satoshi Takabe (NITech) IT2021-25 |
This paper proposes a projected gradient detection method using the Chebyshev steps for a signal detector in a MIMO (Mul... [more] |
IT2021-25 pp.57-62 |

IT |
2021-07-09 14:30 |
Online |
Online |
Construction of Dimension Reduction Matrix for Signal Recovery of Multivariate Gaussian Vectors Kento Yokoyama, Tadashi Wadayama, Satoshi Takabe (NIT) IT2021-26 |
In compressed sensing, we discuss the problem of estimating the sparse original signal $¥bm{x} ¥in ¥mathbb{R}^n$ from th... [more] |
IT2021-26 pp.63-68 |

EMM, IT |
2021-05-21 10:40 |
Online |
Online |
Proximal Decoding for LDPC-coded Massive MIMO Channels Tadashi Wadayama, Satoshi Takabea (Nitech) IT2021-9 EMM2021-9 |
[more] |
IT2021-9 EMM2021-9 pp.48-53 |

IT |
2020-09-04 10:05 |
Online |
Online |
A Study on Complex-valued Sparse CDMA Detection Using Deep Learning Technique Yuki Yamauchi, Satoshi Takabe, Tadashi Wadayama (NITech) IT2020-20 |
[more] |
IT2020-20 pp.13-18 |

IT |
2020-09-04 10:45 |
Online |
Online |
Chebyshev Periodical SOR Methods for Accelerating Fixed-Point Iterations Tadashi Wadayama, Satoshi Takabe (NiTech) IT2020-21 |
[more] |
IT2020-21 pp.19-24 |

SIP |
2020-08-28 10:55 |
Online |
Online |
Theoretical Analysis on Convergence Acceleration of Deep-Unfolded Gradient Descent Satoshi Takabe, Tadashi Wadayama (NITech) SIP2020-35 |
Deep unfolding is a promising deep learning technique whose network architecture is based on existing iterative algorith... [more] |
SIP2020-35 pp.25-30 |

IT |
2020-07-16 14:20 |
Online |
Online |
A Study on Trainable ISTA using Auto Encoder as Shrinkage Function for Image Recovery Kento Yokoyama, Satoshi Takabe, Tadashi Wadayama (NIT) IT2020-13 |
ISTA (Iterative Shrinkage-Thresholding Algorithm) is one of the basic algorithms used in compressed sensing to estimate ... [more] |
IT2020-13 pp.13-18 |

SR, NS, SeMI, RCC, RCS (Joint) |
2020-07-08 13:50 |
Online |
Online |
Deep Unfolded Multicast Beamforming for Massive MIMO Satoshi Takabe, Tadashi Wadayama (NITech) RCS2020-64 |
Multicast beamforming is a promising technique for multicast communications to design a beamforming vector based on chan... [more] |
RCS2020-64 pp.37-42 |

RCS, SAT (Joint) |
2019-08-22 15:55 |
Aichi |
Nagoya University |
[Invited Talk]
Deep Learning-Aided Wireless Communications
-- Overview and Prospects -- Tadashi Wadayama (NiTech) SAT2019-29 RCS2019-158 |
[more] |
SAT2019-29 RCS2019-158 pp.61-66 |

IT |
2019-07-26 10:55 |
Tokyo |
NATULUCK-Iidabashi-Higashiguchi Ekimaeten |
Complex-field TISTA for Nonlinear Inverse Problems Satoshi Takabe, Tadashi Wadayama (NITech) IT2019-23 |
[more] |
IT2019-23 pp.43-48 |