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cs.IT2024
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…
cs.IT2024
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…