Huijun Hou
Papers
1
Total Citations
27
H-Index
1
About
Huijun Hou is a rising researcher in wireless communications, with a focus on advanced signal processing for next-generation networks. Her work centers on developing intelligent detection algorithms for massive MIMO systems, a cornerstone technology for 6G and beyond. In her most-cited paper, "Convolutional-Neural-Network-Based Detection Algorithm for Uplink Multiuser Massive MIMO Systems" (2020, 27 citations), Hou addresses a critical challenge in future wireless networks: the interference explosion caused by an influx of ultrascale intelligent devices like mobile robots and smart cars. She proposes a convolutional neural network (CNN)-based detection approach that leverages deep learning to manage and exploit interference, rather than simply suppressing it. This work demonstrates her ability to bridge machine learning and physical-layer communications, offering a scalable solution for dense, high-interference environments. Hou’s research is particularly relevant as the industry moves toward 6G, where massive connectivity and intelligent interference management will be essential. Her contributions highlight the growing role of AI in shaping the future of wireless systems.
Research Focus
Key Achievements
Top Papers
- 1