449 citations · 477 across the 2 of their papers we have counts for
3 papers
eess.SP2019★ 28 cited
Deep Learning for Physical-Layer 5G Wireless Techniques: Opportunities, Challenges and Solutions
Hongji Huang, Song Guo, Guan Gui +4
The new demands for high-reliability and ultra-high capacity wireless communication have led to extensive research into 5G communications. However, the current communication system…
eess.SP2019★ 449 cited
Deep-Learning-based Millimeter-Wave Massive MIMO for Hybrid Precoding
Hongji Huang, Yiwei Song, Jie Yang +2
Millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) has been regarded to be an emerging solution for the next generation of communications, in which hybrid analo…
eess.SP2019
Deep Reinforcement Learning for UAV Navigation Through Massive MIMO Technique
Hongji Huang, Yuchun Yang, Hong Wang +3
Unmanned aerial vehicles (UAVs) technique has been recognized as a promising solution in future wireless connectivity from the sky, and UAV navigation is one of the most significan…