Xiaowen Tian

Title: Innovations of Xiaowen Tian in AI-Assisted Channel Estimation

Introduction

Xiaowen Tian is an accomplished inventor based in Raleigh, NC, known for his contributions to the field of artificial intelligence and telecommunications. His innovative work focuses on enhancing channel estimation methods, which are crucial for improving communication systems.

Latest Patents

Xiaowen Tian holds a patent for a method titled "Codebook for AI-assisted channel estimation." This method involves identifying Autocorrelation Function (ACF) information by obtaining channel information across multiple expected operation scenarios. It determines Minimum Mean Square Error (MMSE) channel estimation weights expressed in terms of ACFs, Signal-to-Noise Ratios (SNR), and covariance matrices. The process includes clustering these weights into K clusters, where each cluster's center ACF weight represents a codeword. The method also incorporates a distance metric based on cluster distances, allowing for iterative re-clustering to update the center ACF weights and improve accuracy.

Career Highlights

Xiaowen Tian is currently employed at Samsung Electronics Co., Ltd., where he applies his expertise in AI and telecommunications. His work has significantly contributed to advancements in communication technologies, particularly in the area of channel estimation.

Collaborations

Xiaowen collaborates with notable colleagues, including Yeqing Hu and Yang Li, who share his commitment to innovation in the field. Their combined efforts enhance the research and development initiatives at Samsung Electronics.

Conclusion

Xiaowen Tian's innovative contributions to AI-assisted channel estimation exemplify the impact of advanced methodologies in telecommunications. His work continues to influence the development of more efficient communication systems.