Fei Gao

Orcid: 0000-0003-3522-4509

Affiliations:
  • Nokia Bell Labs, Shanghai, China


According to our database1, Fei Gao authored at least 12 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Enabling Indoor Multi-Person Tracking With 6G mmWave ISAC Systems.
IEEE Wirel. Commun. Lett., 2026

6G ISAC-Enabled Efficient Multi-Person Activity Recognition.
IEEE Commun. Lett., 2026

2025
Experimental Study on Reference-Path-Aided System Calibration for mmWave Bistatic ISAC Systems.
Proceedings of the 2025 IEEE Global Communications Conference, 2025

2024
NDAC powered deep-level cloudification technology for mobile robotics.
Proceedings of the 100th IEEE Vehicular Technology Conference, 2024

Channel Modeling Framework for Bistatic ISAC Under 3GPP Standard.
Proceedings of the 99th IEEE Vehicular Technology Conference, 2024

Improving ISAC System Long-Range Sensing with Alternating Cyclic Prefix and Postfix Signals.
Proceedings of the 35th IEEE International Symposium on Personal, 2024

2023
Joint Transmit and Receive Beamforming for Integrated Bistatic Radar Sensing and MU-MIMO Communications.
Proceedings of the 98th IEEE Vehicular Technology Conference, 2023

Raytracing-Based Simulation Platform with Efficient Doppler Embedding for Integrated Sensing and Communication.
Proceedings of the 34th IEEE Annual International Symposium on Personal, 2023

Sensing with OFDM Waveform at mmWave Band Based on Micro-Doppler Analysis.
Proceedings of the IEEE International Conference on Communications, 2023

Integrating Passive Bistatic Sensing into mmWave B5G/6G Networks: Design and Experiment Measurement.
Proceedings of the IEEE International Conference on Communications, 2023

2022
An Efficient Multi-view 3D Object Recognition Mechanism for Distributed Edge Devices.
Proceedings of the International Conference on Advanced Robotics and Mechatronics , 2022

Bilateral Association Mining with Machine Learning to Predict Bitcoin Price Changing Trends.
Proceedings of the International Conference on Advanced Robotics and Mechatronics , 2022


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