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
A Abouaomar, A Taik, A Filali… - IEEE Communications …, 2022 - ieeexplore.ieee.org
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 …
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 …
Energy-aware service allocation: A crow search-based approach
CR Chowdhury, S Misra… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The allocation of services from the cloud to edge servers in the Industrial Internet of Things
(IIoT) emerges as a promising solution for providing time-critical services by shifting …
(IIoT) emerges as a promising solution for providing time-critical services by shifting …
Radio Resource Allocation Optimization for Delay-Sensitive Services Based on Graph Neural Networks and Offline Dataset
W Jing, J Wang, J Ren, Z Lu, H Shao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Delay-sensitive services, particularly Ultra-Reliable and Low-Latency Communications
(URLLC) services, are envisioned as one of the primary applications for 5G and forthcoming …
(URLLC) services, are envisioned as one of the primary applications for 5G and forthcoming …