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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| RCS, SAT (Joint) |
2023-08-31 09:50 |
Nagano | Naganoken Nokyo Building, and online (Primary: On-site, Secondary: Online) |
A study on bit error rate for Zero-forcing THP MIMO communication systems using QR decomposition with greedy permutation Shigenori Kinjo (JCGA), Shuichi Ohno (Osaka Metropolitan Univ.)  RCS2023-106 |
In this report, how to calculate the bit error rate of zero-forcing Tomlinson-Harashima precodded (ZF-THP) MIMO communic... [more] | RCS2023-106 pp.26-30 |
| RCS, SIP, IT | 2022-01-20 14:30 |
Online | Online | A zero-forcing linear precoding scheme using QR decomposition with greedy permutation for MIMO communications Shigenori Kinjo (JCGA), Shuichi Ohno (Osaka City Univ.) IT2021-57 SIP2021-65 RCS2021-225 |
In this report, we study a zero-forcing linear precoding (ZFLP) scheme using QR decomposition with greedy permutation, w... [more] | IT2021-57 SIP2021-65 RCS2021-225 pp.161-166 |
| CS, CAS | 2020-02-28 09:50 |
Kumamoto | Study on CR-QRM-MLD for SD-SM-MIMO Applying Null Modulation Yuta Ida, Takahiro Matsumoto, Shinya Matsufuji (Yamaguchi Univ.), Kazuki Maruta (Chiba Univ.) CAS2019-115 CS2019-115 |
For the transmission technique for a multiple-input multiple-output (MIMO), the space division (SD) and the spatial modu... [more] | CAS2019-115 CS2019-115 pp.99-104 |
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| RCS, SAT (Joint) |
2019-08-22 09:00 |
Aichi | Nagoya University | Signal Detection Schemes based on Multiuser Detection for Downlink MIMO-NOMA Systems Takayuki Okawa, Yuyuan Chang, Kazuhiko Fukawa (Tokyo Tech.) RCS2019-146 |
For the next generation mobile communication, a combination of MIMO and NOMA is referred to as MIMO-NOMA and has been in... [more] | RCS2019-146 pp.1-6 |
| RCS | 2019-06-19 16:35 |
Okinawa | Miyakojima Hirara Port Terminal Building | On Bit LLR Design for Polar-Coded MIMO Spatial Multiplexing System Based on QRD-M Algorithm Shuhei Yamaguchi, Hideki Ochiai (Yokohama National Univ.) RCS2019-61 |
In order to improve bandwidth efficiency of wireless communications systems, MIMO techniques have been extensively studi... [more] | RCS2019-61 pp.143-148 |
| SIS | 2018-03-09 11:25 |
Aichi | Meijo Univ. Tempaku Campus | Improvement of QRM-MLD Method for MIMO Utilizing Noise Variance Ryotaro Konno, Yosuke Sugiura, Tetsuya Shimamura (Saitama Univ.) SIS2017-66 |
In this paper, we propose a new method for improving the bit error rate (BER) and the computational complexity in Maximu... [more] | SIS2017-66 pp.51-56 |
| COMP | 2018-03-05 15:30 |
Osaka | Osaka Prefecture Univ. | Efficient Computation of Betweenness Centrality by Graph Decompositions and their Applications to Real-world Networks Tatsuya Inoha (Osaka Pref. Univ.), Kunihiko Sadakane (Univ. of Tokyo), Yushi Uno (Osaka Pref. Univ.), Yuuma Yonebayashi (Univ. of Tokyo) COMP2017-51 |
Betweenness centrality is one of the most significant and commonly used centralities which is a notion of measuring the ... [more] | COMP2017-51 pp.35-42 |
| RCS, SR, SRW (Joint) |
2017-03-03 10:50 |
Tokyo | Tokyo Institute of Technology | A Study of Channel Estimation for Massive MIMO using Hybrid Beamforming Keisuke Wakayama, Kazuhiko Fukawa, Yuyuan Chang (Tokyo Tech) RCS2016-325 |
For massive MIMO employed in 5G mobile communications, hybrid beamforming, which is composed of analog beam forming (ABF... [more] | RCS2016-325 pp.199-204 |
| SR, SRW (Joint) |
2016-05-17 14:00 |
Overseas | Hotel Lasaretti, Oulu, Finland | [Poster Presentation]
QR-Decomposed Subgraph Belief Propagation for Large MIMO Systems Shogo Tanabe, Koji Ishibashi (Univ. Electro-Comm.) SR2016-20 SRW2016-17 |
In this paper, we discuss a novel low-complexity detection based on belief propagation (BP) algorithm for large-scale mu... [more] | SR2016-20 SRW2016-17 pp.71-72(SR), pp.59-60(SRW) |
| RCS | 2016-04-22 11:00 |
Aomori | Romantopia, A Landscape of Forest and Stars, Hirosaki City | A Study on Low-Complexity Belief Propagation Detection Using Sorted-QR Decomposition for Large MIMO Systems Shogo Tanabe, Koji Ishibashi (The Univ. Electro-Commun.) RCS2016-15 |
In this paper, we propose a low-complexity signal detection for large multi-input multi-output (MIMO) systems with aroun... [more] | RCS2016-15 pp.83-88 |
| RCS | 2014-06-17 16:50 |
Okinawa | Okinawa-ken Seinenkaikan (Naha) | Single-Carrier MU-MIMOusing Vector Perturbation Shohei Yoshioka, Shinya Kumagai, Fumiyuki Adachi (Tohoku Univ.) RCS2014-55 |
In this paper, we propose two new vector perturbation (VP) schemes for single-carrier (SC) multi-user (MU) multiple-inpu... [more] | RCS2014-55 pp.131-136 |
| RCS, SR, SRW (Joint) |
2014-03-05 14:00 |
Tokyo | Waseda Univ. | A Pilot Contamination Averse Closed-Loop Scheme for TDD-Based Massive MIMO Systems Oussama Souihli, Yasuyuki Hatakawa, Satoshi Konishi (KDDI R&D Labs) RCS2013-384 |
TDD-based Massive MIMO systems rely on channel reciprocity assumption (i.e. that the downlink channel matrix can be infe... [more] | RCS2013-384 pp.469-474 |
| RCS, AP (Joint) |
2013-11-21 10:25 |
Shimane | Matsue Terrsa | Non-linear Fast Fading Compensation for HTRCI-MIMO/OFDM with QRM-MLD and Channel Ranking Yuta Ida (Yamaguchi Univ.), Masanori Yofune (Hiroshima City Univ.), Chang-Jun Ahn (Chiba Univ.), Takahiro Matsumoto, Shinya Matsufuji (Yamaguchi Univ.) RCS2013-186 |
In multiple-input multiple-output orthogonal frequency division multiplexing (MIMO/OFDM) systems, large complexity is co... [more] | RCS2013-186 pp.73-77 |
| SIS | 2013-06-13 14:35 |
Kagoshima | Houzan Hall (Kagoshima) | Watermarking Method using QR Decomposition for JPEG 2000 Images Masayuki Kurosaki, Muneaki Matsuo, Hiroshi Ochi (Kyutech) SIS2013-7 |
In this paper, we propose a novel watermarking method using wavelet transform and QR decomposition. While the convention... [more] | SIS2013-7 pp.33-38 |
| SR, RCS, SRW (Joint) |
2012-03-07 09:00 |
Kanagawa | YRP | Application of 2-step QRM-MLD for MIMO-OFDM Katsuhiro Temma, Tetsuya Yamamoto, Fumiyuki Adachi (Tohoku Univ.) RCS2011-316 |
Maximum likelihood detection employing QR decomposition and M-algorithm (QRM-MLD) can achieve almost the same transmissi... [more] | RCS2011-316 pp.1-6 |
| SR, RCS, SRW (Joint) |
2012-03-07 09:25 |
Kanagawa | YRP | Single-Carrier MIMO Multiplexing Using 2-step QRM-ML Block Signal Detection Michihiko Takasu, Katsuhiro Temma, Tetsuya Yamamoto, Fumiyuki Adachi (Tohoku Univ.) RCS2011-317 |
Maximum likelihood block signal detection using QR-decomposition and M-algorithm (QRM-MLBD) can significantly improve th... [more] | RCS2011-317 pp.7-12 |
| SR, RCS, SRW (Joint) |
2012-03-09 09:25 |
Kanagawa | YRP | Iterative Time-Domain Overlap QRM-ML Block Signal Detection for Single Carrier Transmission without CP Insertion Hideyuki Moroga, Tetsuya Yamamoto, Fumiyuki Adachi (Tohoku Univ.) RCS2011-344 |
Recently, we proposed a block signal detection using maximum likelihood detection (MLD) employing QR decomposition and M... [more] | RCS2011-344 pp.169-174 |
| AP, RCS (Joint) |
2011-11-16 10:20 |
Aichi | Nagoya Congress Center | High Accurate Method for Estimation of the Number of Signals with QR Decomposition in low SNR Yuki Nagahama, Takashi Matsubara, Masao Kubo, Takakazu Kurokawa (NDA) AP2011-91 |
MUSIC and ESPRIT are the high resolution methods for direction of arrival (DOA) estimation of signals on an array antenn... [more] | AP2011-91 pp.13-18 |
| RCS, SAT (Joint) |
2011-08-26 13:50 |
Niigata | Niigata Univ. | A Study of Adaptive Bit Loading for Single-carrier Transmission Using Reduced Complexity Maximum-Likelihood Block Detection Tetsuya Yamamoto, Fumiyuki Adachi (Tohoku Univ.) RCS2011-130 |
In this paper, we propose an adaptive single-carrier (SC) transmission suitable for near maximum likelihood (ML) block d... [more] | RCS2011-130 pp.105-110 |
| RCS, MoNA, SR (Joint) |
2011-03-02 09:40 |
Kanagawa | YRP | Comparison between Time and Frequency- Domain QRM-ML Block Signal Detection for Single-Carrier Transmission Hideyuki Moroga, Tetsuya Yamamoto, Fumiyuki Adachi (Tohoku Univ.) RCS2010-249 |
Recently, we proposed a frequency-domain block signal detection using maximum likelihood detection (MLD) employing QR de... [more] | RCS2010-249 pp.7-12 |
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