Digital-twin-assisted resource allocation for network slicing in industry 4.0 and beyond using distributed deep reinforcement learning
L Tang, Y Du, Q Liu, J Li, S Li… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Personalization is one of the primary emerging trends in Industry 4.0 and Beyond. Highly
personalized services will present a significant challenge to the existing algorithms for …
personalized services will present a significant challenge to the existing algorithms for …
DTN-assisted dynamic cooperative slicing for delay-sensitive service in MEC-enabled IoT via deep deterministic policy gradient with variable action
L Li, L Tang, Q Liu, Y Wang, X He… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Network slicing (NS) provides customized services to users of the Internet of Things (IoT) by
creating logical virtual networks, and NS combined with multiaccess edge computing (MEC) …
creating logical virtual networks, and NS combined with multiaccess edge computing (MEC) …
Two-Tier Resource Allocation for Multitenant Network Slicing: A Federated Deep Reinforcement Learning Approach
R Ou, G Sun, D Ayepah-Mensah… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Fifth-generation (5G) wireless networks enable gigabit-per-second data speeds, minimal
latency, and reliable Internet of Things (IoT) connectivity. Thus, network slicing (NS) has …
latency, and reliable Internet of Things (IoT) connectivity. Thus, network slicing (NS) has …
Utility optimization for resource allocation in multi-access edge network slicing: A twin-actor deep deterministic policy gradient approach
To achieve the service-oriented features of the 5G, network slicing aims to create logical
virtual networks where multiple services are provided on a common physical infrastructure …
virtual networks where multiple services are provided on a common physical infrastructure …
Digital twin-empowered network slicing in B5G networks: Experience-driven approach
Network slicing is considered a promising networking pillar of efficient resource
management in beyond 5G (B5G) networks. However, the dynamic and complex …
management in beyond 5G (B5G) networks. However, the dynamic and complex …
A sub-action aided deep reinforcement learning framework for latency-sensitive network slicing
Network slicing is a core technique of fifth-generation (5G) systems and beyond. To
maximize the number of accepted network slices with limited hardware resources, service …
maximize the number of accepted network slices with limited hardware resources, service …
A graph neural network-based digital twin for network slicing management
Network slicing has emerged as a promising networking paradigm to provide resources
tailored for Industry 4.0 and diverse services in 5G networks. However, the increased …
tailored for Industry 4.0 and diverse services in 5G networks. However, the increased …
Stackelberg game-based dynamic resource trading for network slicing in 5G networks
Network slicing (NS) has been envisioned as the main technology in 5G to accommodate
different virtualized operators with versatile service requirements, on a common substrate …
different virtualized operators with versatile service requirements, on a common substrate …
Multi-SP Network Slicing Parallel Relieving Edge Network Conflict
Network slicing is rapidly prevailing in the edge network, which provides computing,
network, and storage resources for various services. When the multiple service providers …
network, and storage resources for various services. When the multiple service providers …
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 …