Session Details
[B-1A]Antennas and Propagation A (Electromagnetic Wave Propagation and Applications Except for Communications)
Wed. Sep 23, 2026 1:15 PM - 4:30 PM JST
Wed. Sep 23, 2026 4:15 AM - 7:30 AM UTC
Wed. Sep 23, 2026 4:15 AM - 7:30 AM UTC
B-Bldg B1-101(Hokkaido University)
Chair:Iwasaki Satoshi, MOTOHARU SASAKI
[B-1A-07]An Extended QUBO Model for Optimizing Base Station Beam Tilt Angles via Quantum Annealing
◎△Ken Masuda1, Tetsuro Imai1, Wataru Yamada2, Minoru Inomata2 (1. Tokyo Denki University, 2. NTT Access Network Service Systems Laboratories, NTT,Inc.)
[B-1A-08]Characteristics with Respect to Sampling Rate in Spatial Completion Modeling Using a Diffusion Model
〇Taiyo Fukuda1, Tetsuro Imai1, Koshiro Kitao, Satoshi Suyama (1. Tokyo Denki University)
[B-1A-09]A Study on Path Loss Prediction for Unseen Areas Using Machine Learning
〇Hiroki Aoki1, Yoshiaki Amano1 (1. KDDI Research, Inc.)
[B-1A-10]Radio Map interpolation method using CSI latent space
〇Motoharu Sasaki1, Genki Tajima1, Keisuke Wakao1, Mitsuki Nakamura1, Kenichi Kawamura1 (1. NTT, Inc.)
[B-1A-11]Radio Map Estimation Based on Diffusion Models with Constraints from Sparse Observations
〇Yuuki Tachioka1 (1. Denso IT Laboratory)
[B-1A-12]Accuracy of Propagation Loss Estimation Using Cluster-Based Kriging According to Environment
◎e.g.Takafumi e.g.Watanabe1, e.g.Hiroaki Nakabayashi1 (1. Chiba Inst. Tech.)
Break time
[B-1A-13]XGBoostによる弱電領域の電波伝搬推定の基礎検討
◎Haruki Yamamoto1, Satoshi Ito1, Yohei Konishi1, Akio Ikam1 (1. KDDI Research, InC.)
[B-1A-14]Prediction of fronthaul link received power during localized torrential rainfall using deep learning
◎△Taiki Takamatsu1, Akihiko Hirata1 (1. Chiba Institute of Technology)
[B-1A-15]Effect of Training Data Density on the Accuracy of LSTM-Based Received Signal Level Prediction
◎Kosuke Ishii1, Tetsuro Imai1, Toshiki Hozen2, Kazuma Tomimoto2, Ryo Yamaguchi2, Shumpei Tabuchi2 (1. Tokyo Denki University, 2. SoftBank Corp.)
[B-1A-16]A Study on Delayed Path Estimation Using Machine Learning
— Characteristics of Path Existence Probability and Received Power —
◎△Yuta Kiriyama1, Tetsuro Imai1, Koshiro Kitao2, Satoshi Suyama2 (1. Tokyo Denki University, 2. NTT DOCOMO, INC.)
[B-1A-17]A Study on Optimal Drone Placement Using Deep Reinforcement Learning in Mobile Communication Drone Relay Systems
◎△Yuta Tamura1, Tetsuro Imai1 (1. Tokyo Denki University)
[B-1A-18]ML Prediction of Deep Soil Permittivity from AMeDAS Data for Correcting GPR Depth Estimation Errors
〇Jun Sonoda1 (1. National Instituite of Technology, Sendai)
