449 citations · 567 across the 30 of their papers we have counts for
4 papers · 1 filter
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…
Principal Component Analysis Based Broadband Hybrid Precoding for Millimeter-Wave Massive MIMO Systems
Yiwei Sun, Zhen Gao, Hua Wang +4
Hybrid analog-digital precoding is challenging for broadband millimeter-wave (mmWave) massive MIMO systems, since the analog precoder is frequency-flat but the mmWave channels are…
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…
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…