102 citations · 162 across the 23 of their papers we have counts for
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cs.NI2023★ 1 cited
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…
cs.LG2023★ 17 cited
Digital Twin Assisted Deep Reinforcement Learning for Online Admission Control in Sliced Network
Zhenyu Tao, Wei Xu, Xiaohu You
The proliferation of diverse wireless services in 5G and beyond has led to the emergence of network slicing technologies. Among these, admission control plays a crucial role in ach…
cs.NI2023★ 102 cited
Wireless Network Digital Twin for 6G: Generative AI as A Key Enabler
Zhenyu Tao, Wei Xu, Yongming Huang +2
Digital twin, which enables emulation, evaluation, and optimization of physical entities through synchronized digital replicas, has gained increasing attention as a promising techn…