Reinforcement Learning-Based Radio Access Network Slicing for a 5G System with Support for Cellular V2X
暂无分享,去创建一个
[1] Gustavo de Veciana,et al. Network slicing games: Enabling customization in multi-tenant networks , 2016, IEEE INFOCOM 2017 - IEEE Conference on Computer Communications.
[2] Adnan Aijaz,et al. $\mathsf{Hap-SliceR}$: A Radio Resource Slicing Framework for 5G Networks With Haptic Communications , 2018, IEEE Systems Journal.
[3] Dinh Thai Hoang,et al. Optimal Cross Slice Orchestration for 5G Mobile Services , 2018, 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall).
[4] Qianbin Chen,et al. Adaptive Virtual Resource Allocation in 5G Network Slicing Using Constrained Markov Decision Process , 2018, IEEE Access.
[5] Alberto Leon-Garcia,et al. QoS-Aware Frequency-Space Network Slicing and Admission Control for Virtual Wireless Networks , 2016, 2016 IEEE Global Communications Conference (GLOBECOM).
[6] Jordi Pérez-Romero,et al. An Efficient Mode Selection for Improving Resource Utilization in Sidelink V2X Cellular Networks , 2018, 2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD).
[7] Toktam Mahmoodi,et al. Network slicing in 5G: An auction-based model , 2017, 2017 IEEE International Conference on Communications (ICC).
[8] Xueli An,et al. Reshaping the Mobile core network via function decomposition and network slicing for the 5G era , 2016, 2016 IEEE Wireless Communications and Networking Conference Workshops (WCNCW).
[9] Richard S. Sutton,et al. Reinforcement Learning: An Introduction , 1998, IEEE Trans. Neural Networks.
[10] Antonio Capone,et al. ONETS: Online Network Slice Broker From Theory to Practice , 2018, IEEE Transactions on Wireless Communications.