This inventor holds 1 USPTO granted patent. Top assignee: Nokia Solutions and Networks Oy. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Innovations of Chenhui Yi in Machine Learning for Channel Estimation
Introduction
Chenhui Yi is a prominent inventor based in Shanghai, China. He has made significant contributions to the field of machine learning, particularly in channel estimation techniques. His innovative approach addresses the challenges posed by diverse Doppler effects, enhancing communication systems' efficiency.
Latest Patents
Chenhui Yi holds a patent titled "Machine learning for channel estimation against diverse Doppler effects." This invention involves a method where a first device receives user data from a second device via a communication channel. The user data includes a reference symbol, which is crucial for the channel estimation process. The first device utilizes a neural network (NN) to perform an initial channel estimation based on the velocity information of the second device and the results of a secondary channel estimation. This secondary estimation is derived from the received reference symbol. The outcome of the first channel estimation is then transmitted back to the second device. This innovative solution allows for effective channel estimation in various scenarios, including high-velocity conditions, while minimizing overhead in reference signals.
Career Highlights
Chenhui Yi is currently employed at Nokia Solutions and Networks Oy, where he continues to develop cutting-edge technologies in telecommunications. His work focuses on improving network performance and reliability through advanced machine learning techniques.
Collaborations
Chenhui has collaborated with notable colleagues, including Wenliang Qi and Wenyi Xu. Their combined expertise contributes to the advancement of innovative solutions in the field of telecommunications.
Conclusion
Chenhui Yi's contributions to machine learning and channel estimation represent a significant advancement in communication technology. His innovative patent demonstrates the potential for improved network efficiency and reliability in diverse scenarios.