413 citations · 465 across the 10 of their papers we have counts for
4 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…
Hybrid Policy Learning for Energy-Latency Tradeoff in MEC-Assisted VR Video Service
Chong Zheng, Shengheng Liu, Yongming Huang +1
Virtual reality (VR) is promising to fundamentally transform a broad spectrum of industry sectors and the way humans interact with virtual content. However, despite unprecedented p…
Joint User Association and Power Allocation in Heterogeneous Ultra Dense Network via Semi-Supervised Representation Learning
Xiangyu Zhang, Zhengming Zhang, Luxi Yang
Heterogeneous Ultra-Dense Network (HUDN) is one of the vital networking architectures due to its ability to enable higher connectivity density and ultra-high data rates. Rational u…
Cache-Enabled Dynamic Rate Allocation via Deep Self-Transfer Reinforcement Learning
Zhengming Zhang, Yaru Zheng, Meng Hua +2
Caching and rate allocation are two promising approaches to support video streaming over wireless network. However, existing rate allocation designs do not fully exploit the advant…