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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 5 of 5  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
AP, WPT
(Joint)		 2024-01-18
09:30		 Niigata Tokimate, Niigata University
(Primary: On-site, Secondary: Online)		 [Invited Lecture] A Kriging Method for Improving Interpolation Accuracy of Path Loss Data Based on A Base Station Position
Motoharu Sasaki, Naoki Shibuya, Kenichi Kawamura, Mitsuki Nakamura, Minoru Inomata, Wataru Yamada, Tomoaki Ogawa (NTT) AP2023-167		 We proposed a Kriging method to improve interpolation accuracy by giving anisotropy to the spatial correlation function ... [more] AP2023-167
pp.41-46
AP, WPT
(Joint)		 2023-01-19
11:15		 Hiroshima Hiroshima Institute of Technology
(Primary: On-site, Secondary: Online)		 Multi-Input RNN Based Proactive Prediction of Path Loss using Building Information in UMa Environments
Motoharu Sasaki, Naoki Shibuya, Kenichi Kawamura, Nobuaki Kuno, Minoru Inomata, Wataru Yamada, Takatsune Moriyama (NTT) AP2022-180		 We report a multi-input RNN model that predicts path loss after 5 seconds using GRU (Gated Recurrent Unit), which is one... [more] AP2022-180
pp.18-23
RCS, NS
(Joint)		 2022-12-15
15:00		 Aichi Nagoya Institute of Technology, and Online
(Primary: On-site, Secondary: Online)		 [Invited Lecture] Multi-Radio Proactive Control Technologies (Cradio)
Kenichi Kawamura, Motoharu Sasaki, Toshirou Nakahira, Naoki Shibuya, Daisuke Murayama, Takatsune Moriyama (NTT) NS2022-137 RCS2022-194		 In the Beyond 5G/6G era, wireless access will require not only the evolution of individual wireless systems but also the... [more] NS2022-137 RCS2022-194
p.47(NS), p.50(RCS)
MIKA
(3rd)		 2022-10-14
10:40		 Niigata Niigata Citizens Plaza
(Primary: On-site, Secondary: Online)		 [Poster Presentation] Research on prediction techniques for wireless communication quality using machine learning
Naoki Shibuya, Kenichi Kawamura, Motoharu Sasaki, Takatsune Moriyama (NTT) 		 [more]
AP, SANE, SAT
(Joint)		 2022-07-27
10:15		 Hokkaido Asahikawa Taisetsu Crystal Hall
(Primary: On-site, Secondary: Online)		 [Invited Lecture] RNN Based Proactive Prediction of Received Power Using Environmental Information
Motoharu Sasaki, Naoki Shibuya, Kenichi Kawamura, Nobuaki Kuno, Minoru Inomata, Wataru Yamada, Takatsune Moriyama (NTT) AP2022-36		 We report a method for predicting received power using a GRU (Gated Recurrent Unit), which is one of the RNNs (Recurrent... [more] AP2022-36
pp.12-16
 Results 1 - 5 of 5  /   
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