10-15 July 2022 • Denver, Colorado, USA

IEEE AP-S/URSI 2022

10-15 July 2022 • Denver, Colorado, USA

FR-A4.1P.2

CNN-Based Propagation Loss Modeling Based on a Series of Images in Urban Scenarios

Kenya Shimizu, Takayuki Nakanishi, Michio Takikawa, Yoshio Inasawa, Mitsubishi Electric Corporation, Japan

Session:
Advanced Propagation Modeling Techniques

Track:
AP-S: Propagation & Scattering

Location:
Capitol Ballroom 1 (HR)

Presentation Time:
Fri, 15 Jul, 13:40 - 14:00 Denver Time (UTC -6)

Session Co-Chairs:
Xingqi Zhang, University College Dublin and Saranraj Karuppuswami, Altair Engineering, Inc. and CJ Reddy , Altair
Presentation
Discussion
Session FR-A4.1P
FR-A4.1P.1: Empirical modeling of diffuse scattering at millimeter wave frequencies
Francisco Javier Andani, Lorenzo Rubio, Bernardo Bernardo, Vicent M. Rodrigo Peñarrocha, Juan Reig, Luis Valle, Universitat Politecnica de Valencia, Spain; Herman Fernández, Universidad Pedagógica y Tecnológica de Colombia, Spain; Jesús Pérez, Rafael P. Torres, Universidad de Cantabria, Spain
FR-A4.1P.2: CNN-Based Propagation Loss Modeling Based on a Series of Images in Urban Scenarios
Kenya Shimizu, Takayuki Nakanishi, Michio Takikawa, Yoshio Inasawa, Mitsubishi Electric Corporation, Japan
FR-A4.1P.3: Vector Parabolic Equation Driven CNN Models for Radio Wave Propagation in Tunnels
Shiqi Wang, Siyi Huang, Haochang Wu, Hao Qin, Xingqi Zhang, University College Dublin, Ireland
FR-A4.1P.4: A Novel 3D Kriging-Aided Path Loss Model for Indoor Corridors Considering 28 GHz Measurements
Melissa Eugenia Diago Mosquera, Alejandro Aragón Zavala, Tecnologico de Monterrey, Mexico; Mauricio Rodriguez, Pontificia Universidad Católica de Valparaíso, Chile
FR-A4.1P.5: Simulation Investigation of Base Station Deployment Scheme of the Wireless Train Communication Network
Jingzhe Wang, Siyu Lin, School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China, China; Yuanxuan Li, Locomotive and Car Research Institute, China Academy of Railway Science, Beijing 100081, China, China
FR-A4.1P.6: Parabolic Equation-Based Channel Model for Direction of Arrival Estimation in Indoor Environments
Hao Qin, Xingqi Zhang, University College Dublin, Ireland; Weibin Hou, Jiadong Du, China Academy of Information and Communications Technology, China; Shunchuan Yang, Beihang University, China
FR-A4.1P.7: Numerical modelling of video transmission range for an unmanned aerial vehicle
Saranraj Karuppuswami, Smit Baua, Altair Engineering, Inc., United States
FR-A4.1P.8: Capacity Analysis of Ship-to-Shore HF MIMO Systems Employing a Single-Hop Ionospheric Channel
Rubén F. M. Delgado Castillo, Mirhamed Mirmozafari, Nader Behdad, University of Wisconsin-Madison, United States
FR-A4.1P.9: Using View Frustum Structure for Beam Tracing Acceleration
Yuxuan Li, Lei Zheng, Han Wang, Hai Lin, State Key Laboratory of CAD&CG, Zhejiang University, China
FR-A4.1P.10: Scale-model based MIMO Shannon capacity estimation using visible light
Ryotaro Taniguchi, Tomoki Murakami, Minoru Inomata, Tomoaki Ogawa, Yasushi Takatori, Nippon Telegraph and Telephone Corporation, Japan
Resources
No resources available.