MO-A4.1A.3

Deterministic-Based 5G mmWave Propagation Characterization in Urban Environments

Leyre Azpilicueta, Fidel Alejandro Rodríguez-Corbo, Mikel Celaya-Echarri, Tecnologico de Monterrey, Mexico; Peio Lopez-Iturri, Public University of Navarre, Spain; David G. Michelson, Francisco Falcone, University of British Columbia, Canada
Session:
Propagation and Wireless Communications I
Track:
AP-S General Topics
Location:
Virtual (Chairs/Speakers to go to Peony Ballroom 4502)
Presentation Time:
Mon, 6 Dec, 09:00 - 09:20 Singapore Time (UTC +8)
Mon, 6 Dec, 02:00 - 02:20 France Time (UTC +1)
Mon, 6 Dec, 01:00 - 01:20 UTC
Sun, 5 Dec, 20:00 - 20:20 New York Time (UTC -5)
Session Co-Chairs:
Costas Sarris, University of Toronto and Zaifeng Yang, Institute of High Performance Computing
Session Manager:
Room R13 Manager
Presentation
Discussion
Resources
Session MO-A4.1A
MO-A4.1A.1: Analysis of Empirical Propagation Models in Suburban Areas at 800 MHz and 1.8 GHz
Laercio Mendonca, Federal University of Rio Grande do Norte, Brazil; Bruno Cavalcanti, IFPB - Federal Institute of Education, Science and Technology of Paraíba, Brazil
MO-A4.1A.2: Physics-Informed Machine Learning Models for Indoor Wi-Fi Access Point Placement
Dongfang Cui, Guoli Yang, Shichen Ji, Shuyang Luo, Aristeidis Seretis, Costas Sarris, University of Toronto, Canada
MO-A4.1A.3: Deterministic-Based 5G mmWave Propagation Characterization in Urban Environments
Leyre Azpilicueta, Fidel Alejandro Rodríguez-Corbo, Mikel Celaya-Echarri, Tecnologico de Monterrey, Mexico; Peio Lopez-Iturri, Public University of Navarre, Spain; David G. Michelson, Francisco Falcone, University of British Columbia, Canada
MO-A4.1A.4: Prediction of 28 GHz Millimeter-wave Indoor Propagation Characteristics in a Residential House
Sango Nagamoto, Manabu Omiya, Hokkaido University, Japan
MO-A4.1A.5: Deep Learning Based Blind Deconvolution for Geophysical Data Processing
Xuqing Wu, Yuchen Jin, Chenpei Huang, Miao Pan, Jiefu Chen, University of Houston, United States
MO-A4.1A.6: Machine-Learning-Assisted Modeling of Millimeter-Wave Channels
Peize Zhang, Cheng Yi, Haiming Wang, Southeast University, China
MO-A4.1A.7: Measurements of 3.5 GHz OAM Misaligned Channels in Indoor Corridor Scenarios
Yang Wang, Panpan Shi, Xi Liao, Tao Hu, Chongqing University of Posts and Telecommunications, China; Jiliang Zhang, Alan Tennant, University of Sheffield, United Kingdom
MO-A4.1A.8: Projection-assisted Indoor Attenuation Parameter Compression based on Curve Fitting
Meng Gao, Xiaolong Yang, Mu Zhou, Chongqing University of Posts and Telecommunications, China
MO-A4.1A.9: A high-speed railway channel measurement scheme based on 5G signal
Yabo Wang, Jianwen Ding, Jia Yu, Dan Fei, Beijing Jiaotong University, China; Zhiping Chen, Zhongxing Telecom Equipment, China
MO-A4.1A.10: Intermediary Objective Based Optimization Method for Field Focusing through an Inhomogeneous Medium
Shang Guo, Deshuang Zhao, University of Electronic Science and Technology of China, China

Platinum Sponsor

Huawei

Gold Sponsors

Nano Dimension / AME Academy
TMYTEK

Bronze Sponsors

Microwave Vision Group
Spring Technologies
Dassault Systemes