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

MO-A4.1A: Propagation and Wireless Communications I

Mon, 6 Dec, 08:20 - 12:00 Singapore Time (UTC +8)
Mon, 6 Dec, 01:20 - 05:00 France Time (UTC +2)
Mon, 6 Dec, 00:20 - 04:00 UTC
Sun, 5 Dec, 19:20 - 23:00 New York Time (UTC -4)

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

Session Co-Chairs: Costas Sarris, University of Toronto and Zaifeng Yang, Institute of High Performance Computing

Session Manager: Room R13 Manager

Track: AP-S General Topics

Mon, 6 Dec, 08:20 - 08:40 Singapore Time (UTC +8)
Mon, 6 Dec, 01:20 - 01:40 France Time (UTC +2)
Mon, 6 Dec, 00:20 - 00:40 UTC
Sun, 5 Dec, 19:20 - 19:40 New York Time (UTC -4)

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

Mon, 6 Dec, 08:40 - 09:00 Singapore Time (UTC +8)
Mon, 6 Dec, 01:40 - 02:00 France Time (UTC +2)
Mon, 6 Dec, 00:40 - 01:00 UTC
Sun, 5 Dec, 19:40 - 20:00 New York Time (UTC -4)

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

Mon, 6 Dec, 09:00 - 09:20 Singapore Time (UTC +8)
Mon, 6 Dec, 02:00 - 02:20 France Time (UTC +2)
Mon, 6 Dec, 01:00 - 01:20 UTC
Sun, 5 Dec, 20:00 - 20:20 New York Time (UTC -4)

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

Mon, 6 Dec, 09:20 - 09:40 Singapore Time (UTC +8)
Mon, 6 Dec, 02:20 - 02:40 France Time (UTC +2)
Mon, 6 Dec, 01:20 - 01:40 UTC
Sun, 5 Dec, 20:20 - 20:40 New York Time (UTC -4)

MO-A4.1A.4: Prediction of 28 GHz Millimeter-wave Indoor Propagation Characteristics in a Residential House

Sango Nagamoto, Manabu Omiya, Hokkaido University, Japan

Mon, 6 Dec, 09:40 - 10:00 Singapore Time (UTC +8)
Mon, 6 Dec, 02:40 - 03:00 France Time (UTC +2)
Mon, 6 Dec, 01:40 - 02:00 UTC
Sun, 5 Dec, 20:40 - 21:00 New York Time (UTC -4)

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

Tea Break

Mon, 6 Dec, 10:20 - 10:40 Singapore Time (UTC +8)
Mon, 6 Dec, 03:20 - 03:40 France Time (UTC +2)
Mon, 6 Dec, 02:20 - 02:40 UTC
Sun, 5 Dec, 21:20 - 21:40 New York Time (UTC -4)

MO-A4.1A.1: Analysis of Empirical Propagation Models in Suburban Areas at 800 MHz and 1.8 GHz

MO-A4.1A.2: Physics-Informed Machine Learning Models for Indoor Wi-Fi Access Point Placement

MO-A4.1A.3: Deterministic-Based 5G mmWave Propagation Characterization in Urban Environments

MO-A4.1A.4: Prediction of 28 GHz Millimeter-wave Indoor Propagation Characteristics in a Residential House

MO-A4.1A.5: Deep Learning Based Blind Deconvolution for Geophysical Data Processing

MO-A4.1A.6: Machine-Learning-Assisted Modeling of Millimeter-Wave Channels

MO-A4.1A.7: Measurements of 3.5 GHz OAM Misaligned Channels in Indoor Corridor Scenarios

MO-A4.1A.8: Projection-assisted Indoor Attenuation Parameter Compression based on Curve Fitting

MO-A4.1A.9: A high-speed railway channel measurement scheme based on 5G signal

MO-A4.1A.10: Intermediary Objective Based Optimization Method for Field Focusing through an Inhomogeneous Medium