82 citations · 339 across the 15 of their papers we have counts for
17 papers
Outdoor-to-Indoor 28 GHz Wireless Measurements in Manhattan: Path Loss, Environmental Effects, and 90% Coverage
Manav Kohli, Abhishek Adhikari, Gulnur Avci +12
Outdoor-to-indoor (OtI) signal propagation further challenges the already tight link budgets at millimeter-wave (mmWave). To gain insight into OtI mmWave scenarios at 28 GHz, we co…
Dense Urban Outdoor-Indoor Coverage from 3.5 to 28 GHz
Dipankar Shakya, Dmitry Chizhik, Jinfeng Du +2
In the US, people spend 87% of their time indoors and have an average of four connected devices per person (in 2020). As such, providing indoor coverage has always been a challenge…
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…