82 citations · 339 across the 15 of their papers we have counts for
13 papers · 1 filter
Machine Learning-based Urban Canyon Path Loss Prediction using 28 GHz Manhattan Measurements
Ankit Gupta, Jinfeng Du, Dmitry Chizhik +2
Large bandwidth at mm-wave is crucial for 5G and beyond but the high path loss (PL) requires highly accurate PL prediction for network planning and optimization. Statistical models…
Universal Path Gain Laws for Common Wireless Communication Environments
Dmitry Chizhik, Jinfeng Du, Reinaldo A. Valenzuela
Simple and accurate expressions for path gain are derived from electromagnetic fundamentals in a wide variety of common environments, including Line-of-Sight (LOS) and Non-Line-of-…
Beamforming Learning for mmWave Communication: Theory and Experimental Validation
ohaned Chraiti, Dmitry Chizhik, Jinfeng Du +3
To establish reliable and long-range millimeter-wave (mmWave) communication, beamforming is deemed to be a promising solution. Although beamforming can be done in the digital and a…
Matching in the Air: Optimal Analog Beamforming under Angular Spread
Jinfeng Du, Marcin Rybakowski, Kamil Bechta +1
Gbps wireless transmission over long distance at high frequency bands has great potential for 5G and beyond, as long as high beamforming gain could be delivered at affordable cost…
Suburban Fixed Wireless Access Channel Measurements and Models at 28 GHz for 90% Outdoor Coverage
Jinfeng Du, Dmitry Chizhik, Rodolfo Feick +3
Achieving adequate coverage with high gain antennas is key to realizing the full promise of the wide bandwidth available at cm/mm bands. We report extensive outdoor measurements at…
Suburban Residential Building Penetration Loss at 28 GHz for Fixed Wireless Access
Jinfeng Du, Dmitry Chizhik, Rodolfo Feick +3
Fixed wireless access at mm/cm bands has been proposed for high-speed broadband access to suburban residential customers and building penetration loss is a key parameter. We report…