Yibo Wu
Yibo Wu is an industrial PhD student in the Communication Systems group, cooperating with Ericsson Research. His interests focus on machine learning for hardware impairment mitigation in communication systems.
Showing 12 publications
Integrating Deep Learning for Hardware Impairments Mitigation in Communication Systems
Impact of Phase Noise on Uplink Cell-Free Massive MIMO OFDM
Spatial Signal Design for Positioning via End-to-End Learning
MCRB-based Performance Analysis of 6G Localization under Hardware Impairments
Frequency-domain digital predistortion for Massive MU-MIMO-OFDM Downlink
End-to-End Learning for Integrated Sensing and Communication
Low Complexity Joint Impairment Mitigation of I/Q Modulator and PA Using Neural Networks
Symbol-Based Over-the-Air Digital Predistortion Using Reinforcement Learning
Iterated Posterior Linearization PMB Filter for 5G SLAM
Cooperative localization with angular measurements and posterior linearization
Residual Neural Networks for Digital Predistortion
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Showing 2 research projects
6G Artificial Intelligence Radar