36 citations · 72 across the 27 of their papers we have counts for
8 papers · 1 filter
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…
Over-the-Air Federated Learning in Cell-Free MIMO with Long-term Power Constraint
Yifan Wang, Cheng Zhang, Yuanndon Zhuang +3
Wireless networks supporting artificial intelligence have gained significant attention, with Over-the-Air Federated Learning emerging as a key application due to its unique transmi…
Jamming Detection and Channel Estimation for Spatially Correlated Beamspace Massive MIMO
Pengguang Du, Cheng Zhang, Yindi Jing +3
In this paper, we investigate the problem of jamming detection and channel estimation during multi-user uplink beam training under random pilot jamming attacks in beamspace massive…
Anti-jamming Transmission of Downlink Cell Free Millimeter-Wave MIMO System
Zilong Wang, Cheng Zhang, Changwei Zhang +1
In this letter, the maximization of resistible jamming power is studied for multi-user downlink millimeter-wave cell-free multiple-input-multiple-output (CF-MIMO) systems. We propo…
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…
Intelligent Hybrid Resource Allocation in MEC-assisted RAN Slicing Network
Chong Zheng, Yongming Huang, Cheng Zhang +1
In this paper, we aim to maximize the SSR for heterogeneous service demands in the cooperative MEC-assisted RAN slicing system by jointly considering the multi-node computing resou…
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…