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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 13 of 13  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
SIP, IT, RCS 2024-01-18
10:20
Miyagi
(Primary: On-site, Secondary: Online)
A Study on EXIT Analysis of Expectation Propagation-Based IDD for Coded Large MIMO Detection
Takahide Saiki, Takumi Takahashi, Kenta Ito (Osaka University), Shinsuke Ibi (Doshisha University) IT2023-32 SIP2023-65 RCS2023-207
Iterative detection and decoding (IDD), which gradually improves detection accuracy by iteratively exchanging extrinsic ... [more] IT2023-32 SIP2023-65 RCS2023-207
pp.13-18
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
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
RCS 2022-06-17
09:40
Okinawa University of the Ryukyus, Senbaru Campus and online
(Primary: On-site, Secondary: Online)
A Study on Expectation Propagation-based Iterative Detection for Overloaded MIMO in Coded Systems
Takuma Kobayashi, Takumi Takahashi, Kenta Ito (Osaka Univ.), Shinsuke Ibi (Doshisha Univ.), Seiichi Sampei (Osaka Univ.) RCS2022-57
This paper investigates an appropriate design for iterative detection receivers in overloaded large multi-input and mult... [more] RCS2022-57
pp.194-199
RCS, SAT
(Joint)
2021-08-27
14:30
Online Online Antenna Configuration and Robust Receiver Design for Scalable Cell-Free Massive MIMO with Capacity Limited Fronthaul
Kengo Ando (UEC), Hiroki Iimori, Giuseppe Abreu (JUB), Takumi Takahashi (Osaka Univ), Koji Ishibashi (UEC) RCS2021-114
In this paper, we investigate an uplink signal detection problem in scalable cell-free massive multiple input multiple o... [more] RCS2021-114
pp.79-84
RCS 2021-06-23
09:40
Online Online A Comparison of Variational Bayesian and Expectation Propagation Methods for Massive MIMO Signal Detection
Hiroki Asumi, Junichiro Hagiwara, Toshihiko Nishimura, Takeo Ohgane, Yasutaka Ogawa, Takanori Sato (Hokkaido Univ.) RCS2021-30
Signal detection in massive MIMO has difficulty in reducing computational complexity as the number of antennas increases... [more] RCS2021-30
pp.7-12
RCS 2019-04-19
10:20
Hokkaido Noboribetsu Grand Hotel Channel Estimation Using Long-term Channel Statistics for BP-based Large MIMO Detection
Takumi Takahashi (Osaka Univ.), Antti Tolli (Univ. of Oulu), Shinsuke Ibi (Doshisha Univ.), Seiichi Sampei (Osaka Univ.) RCS2019-15
This paper proposes a novel de-noising method for realizing low-complexity channel estimation using long-term channel st... [more] RCS2019-15
pp.67-72
SIP, IT, RCS 2018-01-23
13:10
Kagawa Sunport Hall Takamatsu [Invited Talk] A New Development in Message-Passing Demodulation: Expectation Propagation
Keigo Takeuchi (TUT) IT2017-97 SIP2017-105 RCS2017-311
Expectation propagation (EP) is reviewed as a new demodulation scheme based on message passing in massive multiple-input... [more] IT2017-97 SIP2017-105 RCS2017-311
pp.249-254
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] 2017-06-25
09:30
Okinawa Okinawa Institute of Science and Technology Expectation Propagation for t-Exponential Family
Futoshi Futami, Issei Sato (Univ. of Tokyo/RIKEN), Masashi Sugiyama (RIKEN/Univ. of Tokyo) IBISML2017-6
Exponential family distributions are highly useful in machine learning since their calculation can be performed efficien... [more] IBISML2017-6
pp.179-184
IT, SIP, RCS 2017-01-19
15:20
Osaka Osaka City Univ. A Study on Efficient Packet Demodulation of Frameless ALOHA
Shun Ogata, Koji Ishibashi (The Univ. Electro-Commun.) IT2016-74 SIP2016-112 RCS2016-264
Generalized tree-structured expectation propagation (GTEP) decoder for low-density parity check codes over binary erasur... [more] IT2016-74 SIP2016-112 RCS2016-264
pp.165-170
RCS, IT, SIP 2016-01-18
11:50
Osaka Kwansei Gakuin Univ. Osaka Umeda Campus Reduction of Decoding Iterations for Zigzag Decodable Fountain Codes
Takayuki Nozaki (Yamaguchi Univ.) IT2015-52 SIP2015-66 RCS2015-284
Fountain codes are erasure correcting codes realizing the reliable communication for the multicast in the Internet. Zigz... [more] IT2015-52 SIP2015-66 RCS2015-284
pp.25-30
NC, MBE
(Joint)
2009-03-13
16:05
Tokyo Tamagawa Univ. Dynamic relational data analysis based on exponential family matrix factorization.
Kohei Hayashi (Nara Inst. of Sci and Tech.), Jun-ichiro Hirayama (Kyoto Univ.), Shin Ishii (Kyoto Univ./Nara Inst. of Sci and Tech.) NC2008-175
We propose a new probabilistic model to analyze time-varying relational data such as e-mail transaction profiles. Our mo... [more] NC2008-175
pp.423-428
SIP, CAS, CS 2007-03-05
10:50
Tottori Blancart Misasa (Tottori) On the convergence of iterative estimation algorithms operating on graphical models
Justin Dauwels (RIKEN) CAS2006-81 SIP2006-182 CS2006-98
In recent years, graphical models have become a useful tool to derive estimation and detection algorithms. Perhaps the m... [more] CAS2006-81 SIP2006-182 CS2006-98
pp.23-28
 Results 1 - 13 of 13  /   
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