Linfeng Song

Title: Linfeng Song and Skywave Massive MIMO-OFDM Channel Modeling.

Introduction

Linfeng Song is an inventor associated with Southeast University in Jiangsu, China. His patent work addresses channel modeling and channel information acquisition for skywave massive MIMO-OFDM systems.

Latest Patents

Song is associated with 1 patent: “Skywave Massive MIMO-OFDM Triple Beam-Based Channel Modeling and Channel Information Acquisition.” The disclosure presents a statistical channel model in which a spatial-frequency-time domain channel vector is represented as the product of a triple beam matrix and a triple beam domain channel vector. The matrix is formed from sampled steering vectors corresponding to selected direction cosine, time delay, and Doppler frequency points.

Using this model, a base station can group users and allocate pilot sequences based on statistical channel information. It can then estimate the triple beam domain channel vector from received pilot signals and derive channel vectors for both pilot and data bands. The approach is intended to improve channel modeling accuracy while reducing pilot overhead and computational complexity.

Career Highlights

Song’s listed patent reflects work on wireless communications, particularly channel estimation and resource-efficient methods for massive MIMO-OFDM systems. He is associated with Southeast University.

Collaborations

Song’s listed coworker is Ding Shi, who is a woman. The available information does not specify her role in the patent or the nature of their collaboration.

Conclusion

Linfeng Song’s patent focuses on triple beam-based channel modeling and information acquisition, with the goal of improving accuracy and reducing overhead in skywave massive MIMO-OFDM communications.