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- Computing and Processing
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- Communication, Networking and Broadcast Technologies
- Power, Energy and Industry Applications
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- General Topics for Engineers
- Fields, Waves and Electromagnetics
- Engineered Materials, Dielectrics and Plasmas
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- English for Technical Professionals
Yitao Chen
Also published under:
Affiliation
Qualcomm Technologies, Inc., San Diego, USA
Topic
Artificial Neural Network,Key Performance Indicators,User Equipment,3rd Generation Partnership Project,Baseline Schemes,Capacity Planning,Central Unit,Coverage Estimates,Dense Network,Digital Twin,Distributed Unit,Increase In Throughput,Long Short-term Memory,Machine Learning Solutions,Neighboring Cells,Network Capacity,Network Planning,Point Cloud,Potential Use Cases,Presence Of Interference,Radio Access Network,Real-world Deployment,Self-interference Cancellation,Simulation Accuracy,User Experience,Virtual Network Functions,Wireless Networks,5G Networks,5G New Radio,Additive Noise,Analog-to-digital Converter,Automated Guided Vehicles,Average Signal-to-noise Ratio,Backward Compatibility,Block Error Rate,Cascade Structure,Cellular Networks,Channel Capacity,Channel Matrix,Channel Response,Cloud Radio Access Network,Codeword,Collision Detection,Collision Happens,Collision Probability,Complexity Reduction,Constant Gap,Control Plane,Decision Boundary,Decoding,
Biography
Yitao Chen received the B.S. degree in ECE from Shanghai Jiao Tong University, in 2014, and the Ph.D. degree in ECE from The University of Texas at Austin, in 2020. He is currently a Senior Engineer with Qualcomm Technologies Inc., where he has contributed to the design, prototyping, and standardization of 5G cellular wireless technologies of MIMO, the Industrial IoT, and wireless ML research. He holds 13 U.S. patents. His research interests include wireless communication, information theory, coding theory, signal processing, and machine learning.