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Federated learning-empowered mobile network management for 5G and beyond networks: From access to core
The fifth generation (5G) and beyond wireless networks are envisioned to provide an
integrated communication and computing platform that will enable multipurpose and …
integrated communication and computing platform that will enable multipurpose and …
Advanced deep learning models for 6G: overview, opportunities and challenges
The advent of the sixth generation of mobile communications (6G) ushers in an era of
heightened demand for advanced network intelligence to tackle the challenges of an …
heightened demand for advanced network intelligence to tackle the challenges of an …
Federated deep reinforcement learning for open ran slicing in 6g networks
Radio access network (RAN) slicing is a key element in enabling current 5G networks and
next-generation networks to meet the requirements of different services in various verticals …
next-generation networks to meet the requirements of different services in various verticals …
Comprehensive tutorial on the organization of a standards-aligned network slice/subnet design process and opportunities for its automation
P Wyszkowski, J Kienig, K Zieliński… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Building complex entities like Network Slices and their Subnets requires proper models and
methods to allow their convenient design and deployment. Despite significant progress in …
methods to allow their convenient design and deployment. Despite significant progress in …
Digital twin-enhanced deep reinforcement learning for resource management in networks slicing
Network slicing-based communication systems can dynamically and efficiently allocate
resources for diversified services. However, due to the limitation of the network interface on …
resources for diversified services. However, due to the limitation of the network interface on …
Standing on the shoulders of giants: Cross-slice federated meta learning for resource orchestration to cold-start slice
Network slicing is a key technology in 6G communication systems to support numerous
vertical applications for all scenes while providing resources on demand. Due to more time …
vertical applications for all scenes while providing resources on demand. Due to more time …
[HTML][HTML] Strengthening network slicing for industrial Internet with deep reinforcement learning
Industrial Internet combines the industrial system with Internet connectivity to build a new
manufacturing and service system covering the entire industry chain and value chain. Its …
manufacturing and service system covering the entire industry chain and value chain. Its …
Resource Allocation for Network Slicing in Open RAN: A Hierarchical Learning Approach
K Qiao, H Wang, W Zhang, D Yang… - IEEE Transactions …, 2025 - ieeexplore.ieee.org
Network slicing technology and the Open Radio Access Network (O-RAN) architecture
provide solutions for resource isolation and dynamic resource optimization in resource …
provide solutions for resource isolation and dynamic resource optimization in resource …
Multi-Policy Lazy RAN Slicing With Bayesian Optimization for Energy-Efficient B5G ITS
Agent-controlled intelligent subnetworks are envisioned as an integral part of Beyond 5G
(B5G) communications for automatically selecting distinct policies based on dynamic …
(B5G) communications for automatically selecting distinct policies based on dynamic …
Slice sandwich: Jagged slicing multi-tier dynamic resources for diversified V2X services
With the advancement of intelligent transportation systems, a series of diversified V2X
applications come into being, which have different key performance indicators (KPIs) and …
applications come into being, which have different key performance indicators (KPIs) and …