Xiaoshen Li

Title: Innovations of Xiaoshen Li in Low-Power Wide Area Networks

Introduction

Xiaoshen Li is a prominent inventor based in Shenzhen, China. He has made significant contributions to the field of low-power wide area networks through his innovative methods and technologies. His work focuses on enhancing communication efficiency and network configuration using advanced algorithms.

Latest Patents

Xiaoshen Li holds a patent for a "Low-power wide area network integrated sensing and communication method based on channel sensing and reinforcement learning." This invention provides a method that includes receiving an uplink signal transmitted by a terminal node through a gateway receiver. It employs a soft demodulation algorithm to demodulate the uplink signal and obtain a bit log-likelihood ratio. The deep reinforcement learning model reconstructs the channel during communication based on this ratio. The method calculates the optimal network configuration and distributes it to terminal nodes during downlink transmission. This approach allows the gateway to allocate optimal configurations based on current network conditions, thereby improving its decoding capability.

Career Highlights

Xiaoshen Li has worked with notable organizations, including the Hong Kong University of Science and Technology and China Mobile Information Technology Co., Ltd. His experience in these institutions has contributed to his expertise in network technologies and communication methods.

Collaborations

Xiaoshen Li has collaborated with several professionals in his field, including Min Sun and Lu Wang. These collaborations have further enriched his research and development efforts.

Conclusion

Xiaoshen Li's innovative work in low-power wide area networks showcases his commitment to advancing communication technologies. His patent reflects a significant step forward in optimizing network configurations for improved performance.