3 citations · 4 across the 4 of their papers we have counts for
4 papers
Entropy-based Probing Beam Selection and Beam Prediction via Deep Learning
Fan Meng, Cheng Zhang, Yongming Huang +3
Hierarchical beam search in mmWave communications incurs substantial training overhead, necessitating deep learning-enabled beam predictions to effectively leverage channel priors…
Traffic-Aware Hierarchical Beam Selection for Cell-Free Massive MIMO
Chenyang Wang, Cheng Zhang, Fan Meng +2
Beam selection for joint transmission in cell-free massive multi-input multi-output systems faces the problem of extremely high training overhead and computational complexity. The…
Incremental Collaborative Beam Alignment for Millimeter Wave Cell-Free MIMO Systems
Cheng Zhang, Leming Chen, Lujia Zhang +2
Millimeter wave (mmWave) cell-free MIMO achieves an extremely high rate while its beam alignment (BA) suffers from excessive overhead due to a large number of transceivers. Recentl…
Toward 6G TK Extreme Connectivity: Architecture, Key Technologies and Experiments
Xiaohu You, Yongming Huang, Shengheng Liu +20
Sixth-generation (6G) networks are evolving towards new features and order-of-magnitude enhancement of systematic performance metrics compared to the current 5G. In particular, the…