Caleb K Lo

Title: **Caleb K. Lo: Innovator in Machine Learning Adaptation for Reference Signals**

Introduction

Caleb K. Lo is a prominent inventor based in San Jose, California, with a remarkable record of four patents to his name. His work primarily focuses on the adaptation of reference signals using machine learning, showcasing his commitment to enhancing communication technologies and improving system efficiencies.

Latest Patents

Among Caleb's latest innovations is a patent titled "Method and apparatus for reference symbol pattern adaptation." This invention revolves around machine learning adaptation of various parameters such as reference signal temporal density, frequency density, spatial density, or the number of transmission/reception points (TRPs). The goal is to configure systems to utilize lower reference signal densities or fewer TRPs without sacrificing data throughput. His invention outlines how machines can autonomously determine when to switch between high density and low density transmissions, aided by user equipment (UE) assistance information.

Another significant patent by Caleb is also centered on the "Method and apparatus for reference symbol pattern adaptation." This patent discusses the capability of user equipment to support machine learning adaptation of a reference signal pattern, signaling between the base station and the user equipment. The system includes configuration parameters, including enabling or disabling machine learning adaptation, which supports continuous improvements through model training and parameter updates. This innovation reflects Caleb's dedication to creating more responsive and efficient communication networks.

Career Highlights

Caleb has established himself as a key contributor within Samsung Electronics Co., Ltd., a global leader in technology and innovation. His work in developing advanced communication strategies significantly enhances the functionality and performance of wireless networks, making him a vital asset in the field of telecommunications.

Collaborations

Throughout his career, Caleb K. Lo has collaborated with talented peers, including Jeongho Jeon and Joonyoung Cho. These partnerships have fostered innovation and have played a critical role in the advancement of machine learning applications within reference signal adaptation.

Conclusion

Caleb K. Lo continues to make strides in the realm of telecommunications with his innovative patents and collaborative spirit. His work not only enhances the efficiency of communication systems but also paves the way for future advancements in machine learning and network optimization. Caleb's contributions are indeed defining the future of wireless communication technology.