Learning from peers: Deep transfer reinforcement learning for joint radio and cache resource allocation in 5G RAN slicing

H Zhou, M Erol-Kantarci, HV Poor - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Network slicing is a critical technique for 5G communications that covers radio access
network (RAN), edge, transport and core slicing. The evolving network architecture requires …
被引用次数：30 相关文章
[PDF] researchgate.net

[PDF][PDF] Learning from Peers: Deep Transfer Reinforcement Learning for Joint Radio and Cache Resource Allocation in 5G RAN Slicing

H Zhou, M Erol-Kantarci, V Poor - arXiv preprint arXiv:2109.07999, 2021 - researchgate.net
Network slicing is a critical technique for 5G communications that covers radio access
network (RAN), edge, transport and core slicing. The evolving network architecture requires …

Learning from Peers: Deep Transfer Reinforcement Learning for Joint Radio and Cache Resource Allocation in 5G RAN Slicing

H Zhou, M Erol-Kantarci, V Poor - IEEE Transactions on …, 2022 - collaborate.princeton.edu
Network slicing is a critical technique for 5G communications that covers radio access
network (RAN), edge, transport and core slicing. The evolving network architecture requires …

Learning from Peers: Deep Transfer Reinforcement Learning for Joint Radio and Cache Resource Allocation in 5G RAN Slicing

H Zhou, M Erol-Kantarci, V Poor - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Network slicing is a critical technique for 5G communications that covers radio access
network (RAN), edge, transport and core slicing. The evolving network architecture requires …

Learning from Peers: Deep Transfer Reinforcement Learning for Joint Radio and Cache Resource Allocation in 5G RAN Slicing

H Zhou, M Erol-Kantarci, V Poor - arXiv preprint arXiv:2109.07999, 2021 - arxiv.org
Network slicing is a critical technique for 5G communications that covers radio access
network (RAN), edge, transport and core slicing. The evolving network architecture requires …