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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 51 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
AP, SANE, SAT
(Joint)
2021-07-29
12:40
Online Online [Invited Lecture] Radio Propagation Prediction using Geographical Classification by Clustering and Convolutional Neural Network
Tatsuya Nagao, Takahiro Hayashi (KDDI Research) AP2021-36
Beyond 5G is expected to play an essential role in the future social infrastructure, and there is a need for a new syste... [more] AP2021-36
pp.70-75
RCS, SR, SRW
(Joint)
2021-03-04
11:35
Online Online [Poster Presentation] Radio Propagation Prediction Using Building Information in Radio Environment Map for Smart Meters
Soraya Mitate, Takeo Fujii (UEC) RCS2020-237 SR2020-76 SRW2020-66
In recent years, smart metering systems that efficiently control household resources such as water, electricity, and gas... [more] RCS2020-237 SR2020-76 SRW2020-66
pp.163-164(RCS), pp.56-57(SR), pp.51-52(SRW)
AP 2020-12-17
13:50
Online Online A Study on Urban Structure Map Extraction for Radio Propagation Prediction using XGBoost
Tatsuya Nagao, Takahiro Hayashi (KDDI Research) AP2020-98
Recently, the rapid increase in mobile data traffic and the diversification of wireless communication services have led ... [more] AP2020-98
pp.13-17
RCS 2020-10-22
13:30
Online Online [Invited Lecture] Radio Propagation Characteristics for Pioneering Terahertz Wave Bands in 6th Generation Mobile Communication Systems
Minoru Inomata, Wataru Yamada, Nobuaki Kuno, Motoharu Sasaki (NTT), Koshiro Kitao, Mitsuki Nakamura, Hironori Ishikawa, Yasuhiro Oda (NTT DOCOMO) RCS2020-98
Development of the 6th generation mobile communications system (6G) has been actively pursued all over the world. For ac... [more] RCS2020-98
pp.36-41
AP, SANE, SAT
(Joint)
2020-07-16
14:00
Online Online [Tutorial Lecture] Radio Wave Propagation Model for Radiozone Design at High Frequency Band
Naoki Kita, Wataru Yamada, Motoharu Sasaki (NTT) AP2020-19
The term of “Radio zone” means the range where an electromagnetic wave can arrives with detective level. The evaluation ... [more] AP2020-19
pp.57-62
AP 2020-03-26
15:10
Fukui Fukui College
(Cancelled but technical report was issued)
A Study on Radio Propagation Prediction Model in Urban Environment by Using Deep Learning
Ryohei Hayashi, Kaoru Sawai (PSNRD), Nariaki Tateiwa, Akira Tanaka (Kyushu Univ.), Katsuki Fujisawa (IMI) AP2019-201
Radio wave propagation characteristic estimation model is necessary to realize high speed and quality services such as 5... [more] AP2019-201
pp.23-28
AP, WPT
(Joint)
2020-01-24
14:45
Kagawa Sunport Hall Takamatsu [Invited Lecture] Examination of the Mechanism of Building Penetration Loss of UHF band by Scale Model
Koki Oshikawa, Takuya Kadowaki, Shinichi Ichitsubo (Kyutech), Hideki Omote (SoftBank), Teruya Fujii (Tokyo tech) AP2019-175
In the construction of 3D cells for mobile communication systems, it is important to prevent the interference between in... [more] AP2019-175
pp.135-139
SR 2019-12-05
13:50
Okinawa Ishigaki City Hall (Ishigaki Island) [Poster Presentation] Prediction Method of Spectrum Availability Focused on Dominant Path in Sub-urban Area at Millimeter Wave
Kosuke Murakami, Jun-ichi Takada, Kentaro Saito, Panawit Hanpinitsak (Tokyo tech) SR2019-93
Due to the rapid spread of smartphones and related applications, mobile traffic rates have been increased. To meet with ... [more] SR2019-93
pp.37-42
SRW, SeMI, CNR
(Joint)
2019-11-06
13:25
Tokyo Kozo Keisaku Engineering Inc. [Poster Presentation] A Study of Received Power Prediction Using Ray-tracing Simulation and Deep Learning for mmWave Communications
Masahiro Iwasaki, Takayuki Nishio, Masahiro Morikura, Koji Yamamoto (Kyoto Univ) SRW2019-34 SeMI2019-78 CNR2019-28
Machine learning based received power prediction has been studied. These methods learn Features such as surrounding map ... [more] SRW2019-34 SeMI2019-78 CNR2019-28
pp.53-54(SRW), pp.73-74(SeMI), pp.51-52(CNR)
SRW, SeMI, CNR
(Joint)
2019-11-06
13:25
Tokyo Kozo Keisaku Engineering Inc. [Poster Presentation] Two-step Wireless Area Quality Prediction by Artificial Neural Network for Wireless Service Area Planning
Kentaro Saito, Yongri Jin, CheChia Kang, Jun-ichi Takada (Tokyo Tech.) SRW2019-40 SeMI2019-84 CNR2019-34
Recently, many kinds of wireless networks are constructed and managed by users in various industrial sectors owing to th... [more] SRW2019-40 SeMI2019-84 CNR2019-34
pp.69-70(SRW), pp.89-90(SeMI), pp.67-68(CNR)
AP 2019-10-18
13:00
Osaka Osaka Univ. A study on variety and size of input data for radio propagation prediction using a deep neural network
Takahiro Hayashi, Tatsuya Nagao, Satoshi Ito (KDDI Research, Inc) AP2019-102
Not only has the volume of mobile traffic been increasing exponentially in recent years, making various services availab... [more] AP2019-102
pp.119-124
MIKA
(2nd)
2019-10-04
10:15
Hokkaido Hokkaido Univ. [Poster Presentation] Measurement and Prediction Models of the Line-of-sight Obstruction Losses at Millimeter Wave Radio
Xin Du, Kentaro Saito, Jun-ichi Takada (Tokyo Titech), Mitsuki Nakamura, Nobuaki Kuno, Wataru Yamada (NTT)
For designing the stable communication system at future mmWave bands, the prediction method of the obstruction losses is... [more]
AP, SANE, SAT
(Joint)
2019-07-19
15:05
Miyagi Tohoku Univ. [Invited Lecture] Examination of the Urban-Areas Clutter Loss for Radio Wave of 30-100 GHz and Visible Light
Katsuki Ishimoto, Ichitsubo Shinichi (Kyutech), Omote Hideki (SoftBank), Hujii Teruya (Tokyo Tech) AP2019-42
In order to promote common use with a satellite or an airplane communication and land mobile communications such as a ce... [more] AP2019-42
pp.113-117
SR 2019-05-31
10:00
Tokyo Tokyo Big Sight [Technology Exhibit] Highly Accurate Prediction of Radio Environment for V2V Communication Systems
Keita Katagiri, Takeo Fujii (UEC) SR2019-18
An accurate estimation of radio propagation considering the geographical conditions is needed for realizing reliable veh... [more] SR2019-18
pp.107-112
AP 2019-05-16
13:30
Hyogo Kanpo-no-yado Arima (Arima Onsen, Hyogo) Radio Propagation Modeling Competition
Tetsuro Imai (DOCOMO), Hisato Iwai (Doshisha Univ.), Shinichi Ichitsubo (Kyutech) AP2019-2
In next generation mobile communication such as IoT and Connected car, in order to realize high speed and high quality t... [more] AP2019-2
pp.7-12
WPT, AP
(Joint)
2019-01-17
10:15
Aichi Toyota Automobile Museum [Invited Lecture] Examination of Clutter Losses for Satellite Communications using Urban Areas Scale Model
Katsuki Ishimoto, Saito Koki, Ichitsubo Shinichi (Kyutech), Omote Hideki (SoftBank), Hujii Teruya (Tokyo Tech) AP2018-151
In order to promote common use with a satellite or an airplane communication and land mobile communications such as a ce... [more] AP2018-151
pp.1-6
AP 2018-10-18
13:05
Okayama Okayama Univ. A Study on Radio Propagation Prediction by Using Deep Learning with CNN -- Relationship between Prediction Accuracy and Input Map-Parameters --
Tetsuro Imai, Takahiro Asai (NTT DOCOMO) AP2018-89
Recently, advancement of artificial intelligence has been remarkable, and many applied researches are attracting
attent... [more]
AP2018-89
pp.1-6
AP 2018-08-23
10:05
Saitama Nippon Inst. of Tech. Elevation arrival angular profile prediction formula at mobile base station in mobile communications
Fujii Teruya, Omote Hideki, Ogata Daigo, Kimura Sho (SB) AP2018-67
In order to further increase throughput in the 5th generation mobile communication system, antenna systems such as Massi... [more] AP2018-67
pp.1-6
AP 2018-05-18
16:15
Kumamoto Kumamoto Univ. A Study on Radio Propagation Paths of 28 GHz band in Urban Street Microcell Environment
Tetsuro Imai, Minoru Inomata, Koshiro Kitao, Yukihiko Okumura (NTT DOCOMO) AP2018-36
In 5G mobile communication system (or 5G), which has been actively investigated, high frequency bands (6 - 100 GHz) are ... [more] AP2018-36
pp.129-132
AP, WPT
(Joint)
2018-01-19
10:00
Nara ATR Examination of the Prediction Equation and Urban Models for the Propagation Contest
Hiroki Kishida, Shinichi Ichitsubo (Kyutech) AP2017-163
We participated in the propagation prediction contest, created the prediction equation of the propagation loss, and eval... [more] AP2017-163
pp.69-73
 Results 21 - 40 of 51 [Previous]  /  [Next]  
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