Papers
4
Total Citations
72
H-Index
3
About
Chiehping Lai is a wireless communications researcher specializing in millimeter-wave (mmWave) channel modeling, multipath propagation analysis, and advanced channel sounding techniques. Their work has made significant contributions to understanding how radio signals behave at high frequencies — knowledge that is critical for the development of 5G and beyond wireless networks. Lai's most impactful contribution is a rigorous methodology for tracking multipath components in mmWave channel modeling, published in 2018 and accumulating 56 citations. This work involved an ambitious measurement campaign across 325 unique transmitter-receiver configurations in a real-world indoor environment, utilizing a sophisticated 3-D double-directional 60 GHz channel sounder mounted on a mobile robot — a creative and precise approach to capturing channel variability. Complementing this, Lai has pioneered unsupervised clustering techniques for mmWave propagation modeling, developing custom channel sounders operating at both 60 GHz and 83 GHz capable of resolving multipath components across delay, Doppler, and angular domains. More recently, their 2025 work on digital-twin-assisted clustering represents a forward-looking fusion of simulation and measurement, addressing longstanding challenges in associating multipath components with physical scatterers. Across their career, Lai's research bridges rigorous empirical measurement with intelligent data-driven modeling.
Research Focus
Key Achievements
Top Papers
- 1
- 2Unsupervised Clustering for Millimeter-Wave Channel Propagation Modeling10 citations · 2017
- 3Unsupervised Clustering for Millimeter-Wave Channel Propagation Modeling5 citations · 2017
- 4Digital-Twin-Assisted Clustering of Radio Frequency Multipath Components1 citations · 2025