SoftDrone: Softwarized 5G assisted drone networks for dynamic resource sharing using machine learning techniques
The concept of a programmable network instantiates dedicated network slices for
Unmanned Aerial Vehicle (UAV)-based on-demand communication layers which improve …
Unmanned Aerial Vehicle (UAV)-based on-demand communication layers which improve …
Drive: Dynamic resource introspection and vnf embedding for 5g using machine learning
The network slicing (NS) technique is comprehensively reshaping the next-generation
communication networks (eg, 5G and 6G). Software-defined networking (SDN) and network …
communication networks (eg, 5G and 6G). Software-defined networking (SDN) and network …
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 …
Slicing resource allocation based on dueling DQN for eMBB and URLLC hybrid services in heterogeneous integrated networks
G Chen, R Shao, F Shen, Q Zeng - Sensors, 2023 - mdpi.com
In 5G/B5G communication systems, network slicing is utilized to tackle the problem of the
allocation of network resources for diverse services with changing demands. We proposed …
allocation of network resources for diverse services with changing demands. We proposed …
Advancing RAN slicing with offline reinforcement learning
Dynamic radio resource management (RRM) in wireless networks presents significant
challenges, particularly in the context of Radio Access Network (RAN) slicing. This …
challenges, particularly in the context of Radio Access Network (RAN) slicing. This …
A model-driven security analysis approach for 5G communications in industrial systems
X Li, X Hu, R Zhang, C Zhou, Q Yin… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
5G communication network has become a major pillar in the evolution of interconnected
industrial systems. However, the introduction of 5G network may lead to unknown risks in the …
industrial systems. However, the introduction of 5G network may lead to unknown risks in the …
[HTML][HTML] Drl-based resource management in network slicing for vehicular applications
Network Slicing (NS) was proposed as a viable solution in Release 15 of Third Generation
Partnership Project (3GPP) to allocate the limited resources among different service types …
Partnership Project (3GPP) to allocate the limited resources among different service types …
[PDF][PDF] Modified deep reinforcement learning agent for dynamic resource placement in IoT network slicing
Network slicing is a promising paradigm and significant evolution for adjusting the
heterogeneous services based on different requirements by placing dynamic virtual network …
heterogeneous services based on different requirements by placing dynamic virtual network …
Knowledge-Assisted Resource Allocation With Domain Adversarial Neural Networks
Y Chen, Y Zheng, J Xu, H Lin, P Cheng… - … on Network and …, 2024 - ieeexplore.ieee.org
Relying on a data-driven methodology, deep learning has emerged as a new approach for
dynamic resource allocation in large-scale cellular networks. This paper proposes a …
dynamic resource allocation in large-scale cellular networks. This paper proposes a …
Heterogeneous RAN slicing resource allocation using mathematical program with equilibrium constraints
Network slicing is considered to be a key feature of the 5th generation mobile networks. It
permits multiple tenants, ie mobile virtual network operators, to share virtual resources …
permits multiple tenants, ie mobile virtual network operators, to share virtual resources …