Papers
3
Total Citations
19
H-Index
2
About
Anuraag Bodi is a rising researcher in wireless communications, specializing in millimeter-wave (mmWave) channel sounding and propagation modeling for next-generation mobile networks. His work focuses on characterizing the complex radio frequency (RF) environment, particularly at 60 GHz, where signal behavior is critical for 5G and beyond. Bodi’s major contributions include groundbreaking measurements of penetration loss in indoor-to-indoor and outdoor-to-indoor scenarios, providing essential data for network deployment in dense urban and office settings. His most cited paper (15 citations) established key insights into building material effects on signal attenuation. More recently, Bodi has pioneered the integration of artificial intelligence and digital twin technologies into channel sounding. He developed a context-aware sounder that fuses camera and LiDAR data with RF measurements to create segmented 3D environmental meshes, enabling precise identification of scatterers. His latest work on digital-twin-assisted clustering of multipath components (2025) addresses a long-standing challenge in channel modeling by linking RF data to physical objects, moving beyond blind clustering methods. Bodi’s innovative approach promises more accurate, geometry-based channel models, directly impacting the design of reliable, high-capacity wireless systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2AI-Based Environment Segmentation Using a Context-Aware Channel Sounder3 citations · 2024
- 3Digital-Twin-Assisted Clustering of Radio Frequency Multipath Components1 citations · 2025