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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 8 of 8  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
MW 2024-03-01
10:55
Okayama Okayama Prefectural University
(Primary: On-site, Secondary: Online)
Reconfigurable Reflection Direction and Multi-Band Metasurface Reflector Using Varactor Diodes Mounted Mushroom-Type Structure
Taisei Urakami (NAIST), Tamami Maruyama (NIT (KOSEN), Hakodate College), Akira Ono (NIT (KOSEN), Kagawa College), Na Chen, Minoru Okada (NAIST) MW2023-190
In this paper, we propose a novel metasurface reflector with considering both reflection directions and frequency bands ... [more] MW2023-190
pp.78-83
SAT, SANE
(Joint)
2024-02-09
11:50
Kagoshima AmaHome PLAZA (Amami City Shimin Koryu Center)
(Primary: On-site, Secondary: Online)
[Short Paper] BPSK Symbol-Level Precoding with CSI Sign-only Prediction for Satellite Communication System
Rizky Pratama Hudhajanto (NAIST), Duong Quang Thang (OIT), Na Chen, Minoru Okada (NAIST) SAT2023-74
LEO satellites offer potential global coverage for 5G networks, but their fast movement and propagation delay render acq... [more] SAT2023-74
pp.75-77
MW 2023-03-02
10:40
Tottori Tottori Univ.
(Primary: On-site, Secondary: Online)
Memory-Driven MLP-Mixer Deep Learning Model for Intelligent Reflecting Surface-Assisted mmWave Systems Beam Prediction
Taisei Urakami, Haohui Jia, Na Chen, Minoru Okada (NAIST) MW2022-159
Although deep learning (DL) based beam prediction for intelligent reflecting surface (IRS)-assisted millimeter wave (mmW... [more] MW2022-159
pp.13-18
RCS, NS
(Joint)
2022-12-15
09:45
Aichi Nagoya Institute of Technology, and Online
(Primary: On-site, Secondary: Online)
Efficient Beam Prediction for Intelligent Reflecting Surface-Assisted mmWave Systems based on Memory Driven Simple Transformer Deep Learning Model
Taisei Urakami, Haohui Jia, Na Chen, Minoru Okada (NAIST) RCS2022-185
In this paper, we propose a memory driven simple transformer (MDST) deep learning (DL) model with the autoregressive mod... [more] RCS2022-185
pp.1-6
NS, SR, RCS, SeMI, RCC
(Joint)
2022-07-14
15:25
Ishikawa The Kanazawa Theatre + Online
(Primary: On-site, Secondary: Online)
Temporal Sequence Modeling and Spatial Attention for High Reliable mmWave Massive MIMO Beam Prediction
Haohui Jia, Zaoshi Wang, Na Chen, Minoru Okada (NAIST) RCC2022-30
 [more] RCC2022-30
pp.57-62
WBS, MICT 2021-07-30
13:00
Online Online [Poster Presentation] Performance Evaluation and Optimization of OFDM with the Aid of Intelligent Reflecting Surface under Impulsive Noise
Chengbo Liu, Na Chen, Minoru Okada (NAIST) WBS2021-27 MICT2021-20
Orthogonal frequency division multiplexing (OFDM) signal suffers a dramatic loss from impulsive noise (IN) which is emit... [more] WBS2021-27 MICT2021-20
pp.30-33
WBS, IT, ISEC 2021-03-04
13:20
Online Online [Poster Presentation] Recovery of Partially Missing OFDM Signal in Time-Domain
Chengbo Liu, Na Chen, Minoru Okada (NAIST) IT2020-127 ISEC2020-57 WBS2020-46
Orthogonal Frequency Division Multiplexing (OFDM) suffers from the partial time-domain loss which is caused by obstacles... [more] IT2020-127 ISEC2020-57 WBS2020-46
pp.98-103
HIP 2013-07-13
13:25
Niigata Niigata University of Internatilnal and Information Studies Effects of multisensory integration about material of tableware on taste evaluation
Kanji Tanaka, Na Chen (Tokyo Univ,), Nobuyuki Sakai (Tohoku Univ), Katsumi Watanabe (Tokyo Univ,) HIP2013-33
 [more] HIP2013-33
pp.7-10
 Results 1 - 8 of 8  /   
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