36 citations · 72 across the 27 of their papers we have counts for
14 papers · 1 filter
Generative Learning Enhanced Intelligent Resource Management for Cell-Free Delay Deterministic Communications
Shuangbo Xiong, Cheng Zhang, Wen Wang +2
Cell-free multiple-input multiple-output (CF-MIMO) architecture significantly enhances wireless network performance, offering a promising solution for delay-sensitive applications.…
Lyapunov-guided Multi-Agent Reinforcement Learning for Delay-Sensitive Wireless Scheduling
Cheng Zhang, Lan Wei, Ji Fan +2
In this paper, a two-stage intelligent scheduler is proposed to minimize the packet-level delay jitter while guaranteeing delay bound. Firstly, Lyapunov technology is employed to t…
Joint Optimization of Data- and Model-Driven Probing Beams and Beam Predictor
Tianheng Lu, Fan Meng, Zhilei Zhang +3
Hierarchical search in millimeter-wave (mmWave) communications incurs significant beam training overhead and delay, especially in a dynamic environment. Deep learning-enabled beam…
Generative Learning Powered Probing Beam Optimization for Cell-Free Hybrid Beamforming
Cheng Zhang, Shuangbo Xiong, Mengqing He +3
Probing beam measurement (PBM)-based hybrid beamforming provides a feasible solution for cell-free MIMO. In this letter, we propose a novel probing beam optimization framework wher…
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…
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…
Signal Processing for MIMO-NOMA: Present and Future Challenges
Yongming Huang, Cheng Zhang, Jiaheng Wang +3
Non-orthogonal multiple access (NOMA), as the newest member of the multiple access family, is envisioned to be an essential component of 5G mobile networks. The combination of NOMA…
Performance Analysis for Massive MIMO Downlink with Low Complexity Approximate Zero-Forcing Precoding
Cheng Zhang, Yindi Jing, Yongming Huang +1
Zero-forcing (ZF) precoding plays an important role for massive MIMO downlink due to its near optimal performance. However, the high computation cost of the involved matrix inversi…
Interleaved Training and Training-Based Transmission Design for Hybrid Massive Antenna Downlink
Cheng Zhang, Yindi Jing, Yongming Huang +1
In this paper, we study the beam-based training design jointly with the transmission design for hybrid massive antenna single-user (SU) and multiple-user (MU) systems where outage…
Energy Efficient Beamforming for Massive MIMO Public Channel
Cheng Zhang, Yongming Huang, Yindi Jing +1
For massive MIMO public channel with any sector size in either microwave or millimeter wave (mmwave) band, this paper studies the beamforming design to minimize the transmit power…
Performance Scaling Law for Multi-Cell Multi-User Massive MIMO
Cheng Zhang, Yindi Jing, Yongming Huang +1
This work provides a comprehensive scaling law based performance analysis for multi-cell multi-user massive multiple-input-multiple-output (MIMO) downlink systems. Imperfect channe…