MO-A5.2P.7
Virtual Presentation

Measurement and Characterization of 5G Railway Wireless Channels in Suburban Scenario

Yanyan Huang, Dan Fei, Peng Zheng, Haoran Chen, Yifan Zhang, He Hu, Bo Ai, Beijing Jiaotong University, China

Session:
Channel Modeling Oral

Track:
AP-S: Propagation and Scattering

Location:
Rogers Centre: Room 202

Session Time:
Mon, 14 Jul, 13:20 - 17:00
Presentation Time:
Mon, 14 Jul, 15:40 - 16:00

Session Co-Chairs:
David Michelson, University of British Columbia and Minseok Kim, Niigata University
Presentation
Discussion
Session MO-A5.2P
MO-A5.2P.1: Using a Dynamic Channel Emulator to Support Over the Air Testing by Student Design Teams
David Michelson, University of British Columbia, Canada
MO-A5.2P.2: Machine Learning for Modeling Wireless Radio Metrics with Crowdsourced Data and Local Environment Features
Yifeng Qiu, Alexis Bose, Communications Research Centre Canada, Canada
MO-A5.2P.3: Uncertainty Estimation for Path Loss and Radio Metric Models
Alexis Bose, Jonathan Ethier, Ryan G. Dempsey, Yifeng Qiu, Communications Research Centre Canada, Canada
MO-A5.2P.4: Feasibility of Modal Propagation Through Human Body for Human Body Communications
vignesh manohar, Eduardo Lima, Liang Han, Meta Reality Labs, Canada
MO-A5.2P.5: Machine Learning Based Delay Spread Prediction in Underground Mine
Saif Eddine Hadji, Mourad Nedil, University of Quebec in Abitibi-Temiscamingue, Canada
MO-A5.2P.6: 24/60 GHz Dual-Band Synchronized Directional Channel Measurements Using COTS Phased Arrays in Urban Cellular Environments
Minseok Kim, Niigata University, Japan
MO-A5.2P.7: Measurement and Characterization of 5G Railway Wireless Channels in Suburban Scenario
Yanyan Huang, Dan Fei, Peng Zheng, Haoran Chen, Yifan Zhang, He Hu, Bo Ai, Beijing Jiaotong University, China
MO-A5.2P.8: Characteristics of 6.4 GHz Radio Channels Used for IEEE 802.11bn Under Obstructed LOS Conditions
Nida Chaudhry, Simon L. Cotton, Nidhi Simmons, Queen's University Belfast, United Kingdom; Claudio R. C. M. Da Silva, Reality Labs, Meta Platforms, United States; Okan Yurduseven, Queen's University Belfast, United Kingdom; Paschalis C. Sofotasios, Khalifa University, United Arab Emirates; Michail Matthaiou, Trung Q. Duong, Queen's University Belfast, United Kingdom
MO-A5.2P.9: A statistically realistic model for randomly generating channel impulse responses of reverberant environments
Yoann Berthoud, Alejandro Niembro-Martin, Emmanuel Dreina, Schneider Electric, France
MO-A5.2P.10: Broadband Outdoor to Indoor Empirical Channel Modelling
Anik Naha Biswas, Yee Hui Lee, Ling Ma, Jit Seng Lim, Nanyang Technological University, Singapore, Singapore
Resources
No resources available.