2023 APS Logo

IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting

July 23–28, 2023 • Portland, Oregon, USA

23-28 July 2023 • Portland, Oregon, USA

IEEE AP-S/URSI 2023

23-28 July 2023 • Portland, Oregon, USA

TU-A4.2A.9

Propagation Modeling for Indoor Wireless Channels in High-Speed Train

Ruiqi Yang, Siyu Lin, Beijing Jiaotong University, China

Session:
Propagation Modeling and Field Prediction

Track:
AP-S: Propagation & Scattering

Location:
C 124 (OCC)

Session Time:
Tue, 25 Jul, 08:00 - 11:40 PDT (UTC -7)
Presentation Time:
Tue, 25 Jul, 11:00 - 11:20 PDT (UTC -7)

Session Chair:
Costas Sarris, University of Toronto
Presentation
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Discussion
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Session TU-A4.2A
TU-A4.2A.1: Ray Tracing Prediction for 5G Propagation Characteristics in a Modern Office Environment
Chang Liu, Durham University, United Kingdom; Mohamed Ghaddar, Princeton University, United States; mourad Nedil, University of Quebec, Canada; ISMAIL BEN MABROUK, Durham University, United Kingdom
TU-A4.2A.2: Hybrid PO Method in Beam Tracing for Wireless Channel Simulation
Yuxuan Li, Yifan Wu, Xirun Yin, Lizhen Yang, Hai Lin, Zhejiang University, China
TU-A4.2A.3: Prediction of indoor radio propagation using deep neural network
Takayuki Nakanishi, Kenya Shimizu, Mitsubishi Electric Corporation, Japan; Kenzaburo Hitomi, Mitsubishi Electric Engineering Company Limited, Japan; Yasuhiro Nishioka, Yoshio Inasawa, Mitsubishi Electric Corporation, Japan
TU-A4.2A.4: A Graph Neural Network-Based Electric-Field Prediction Model for Exposure Assessments
Sen Liu, Teruo Onishi, Masao Taki, Soichi Watanabe, NICT, Japan
TU-A4.2A.5: Path Loss Analysis for Array Antenna systems in underground mine at 3.5GHz
SAIF EDDINE HADJI, Mourad Nedil, Mohamed Lamine Seddiki, UQAT, Canada; Ismail Ben Mabrouk, Durham university, United Kingdom
TU-A4.2A.6: Deep Learning-Based Path Loss Prediction with Satellite Maps
Chenlong Wang, Bo Ai, Ruisi He, Mi Yang, Zhengyu Zhang, Yuxin Zhang, Zhangdui Zhong, Beijing Jiaotong University, China
TU-A4.2A.7: Simplifying Building Structures for Efficient Radio Propagation Modeling
Zhengqing Yun, Magdy Iskander, University of Hawaii, United States
TU-A4.2A.8: Numerical Modeling and Experimental Validation of Path Loss in Realistic RIS-Enabled Links
Yuanzhi Liu, Ziqi Liu, Sean Hum, Costas Sarris, University of Toronto, Canada
TU-A4.2A.9: Propagation Modeling for Indoor Wireless Channels in High-Speed Train
Ruiqi Yang, Siyu Lin, Beijing Jiaotong University, China
TU-A4.2A.10: Modeling of Electromagnetic Wave Phase Front Aberration in Rain
Behzad Yektakhah, Kamal Sarabandi, University of Michigan, United States
Resources
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