Wanli Ni

Title: Innovations of Wanli Ni

Introduction

Wanli Ni is a prominent inventor based in Beijing, China. He has made significant contributions to the field of wireless communication and resource optimization. With a total of 2 patents to his name, his work focuses on addressing challenges faced by hardware-constrained Internet of Things (IoT) devices.

Latest Patents

Wanli Ni's latest patents include a wireless federated learning framework and a resource optimization method. The wireless federated learning framework aims to resolve the limitations of federated learning for IoT devices with limited computing resources. In this framework, users with sufficient computing power upload locally trained model parameters to a base station, while those with limited resources send training data. The base station then performs data training and model aggregation to create a global model. This collaborative approach allows users with varying resources to contribute to the training process effectively.

His second patent involves a multi-functional reconfigurable intelligence surface (MF-RIS) that integrates signal reflection, refraction, amplification, and energy harvesting. This innovative surface can enhance wireless signal coverage by utilizing harvested energy to amplify, reflect, or refract signals. The MF-RIS is designed to optimize operation modes and parameters in multi-user wireless networks, maximizing the sum rate of users in an MF-RIS-assisted non-orthogonal multiple access network.

Career Highlights

Wanli Ni is affiliated with the Beijing University of Posts and Telecommunications, where he continues to advance research in wireless communication technologies. His work has garnered attention for its practical applications in improving the efficiency of IoT devices.

Collaborations

Some of his notable coworkers include Hui Tian and Ping Zhang, who have collaborated with him on various research projects.

Conclusion

Wanli Ni's innovative patents and contributions to wireless communication demonstrate his commitment to enhancing technology for IoT devices. His work not only addresses current challenges but also paves the way for future advancements in the field.