IEEE AP-S/URSI 2021 || Marina Bay Sands, Singapore || 4-10 December 2021

MO-A4.1A.4

Prediction of 28 GHz Millimeter-wave Indoor Propagation Characteristics in a Residential House

Sango Nagamoto, Manabu Omiya, Hokkaido University, Japan

Session:

Propagation and Wireless Communications I

Location:

Virtual (Chairs/Speakers to go to Peony Ballroom 4502)

Presentation Time:

Mon, 6 Dec, 09:20 - 09:40 Singapore Time (UTC +8)
Mon, 6 Dec, 02:20 - 02:40 France Time (UTC +1)
Mon, 6 Dec, 01:20 - 01:40 UTC
Sun, 5 Dec, 20:20 - 20:40 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

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