36 citations · 72 across the 27 of their papers we have counts for
5 papers · 1 filter
Digital Twin-Enhanced Deep Reinforcement Learning for Resource Management in Networks Slicing
Zhengming Zhang, Yongming Huang, Cheng Zhang +3
Network slicing-based communication systems can dynamically and efficiently allocate resources for diversified services. However, due to the limitation of the network interface on…
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…
Interleaved Training for Massive MIMO Downlink via Exploring Spatial Correlation
Cheng Zhang, Chang Liu, Yindi Jing +2
Interleaved training has been studied for single-user and multi-user massive MIMO downlink with either fully-digital or hybrid beamforming. However, the impact of channel correlati…
Joint Port Selection Based Channel Acquisition for FDD Cell-Free Massive MIMO
Cheng Zhang, Pengguang Du, Minjie Ding +2
In frequency division duplexing (FDD) cell-free massive MIMO, the acquisition of the channel state information (CSI) is very challenging because of the large overhead required for…