Deep Reinforcement Learning for Resource Management on Network Slicing: A Survey. [PDF]
Sensors (Basel), 2022 Hurtado Sánchez JA +2 more
europepmc +1 more source
SFC active reconfiguration based on user mobility and resource demand prediction in dynamic IoT-MEC networks. [PDF]
PLoS OneGuo S, Liu L, Jing T, Liu H.
europepmc +1 more source
Validating a 5G-Enabled Neutral Host Framework in City-Wide Deployments. [PDF]
Sensors (Basel), 2021 Fernández-Fernández A +9 more
europepmc +1 more source
Utility-Driven End-to-End Network Slicing for Diverse IoT Users in MEC: A Multi-Agent Deep Reinforcement Learning Approach. [PDF]
Sensors (Basel)Ejaz MA +4 more
europepmc +1 more source
Evaluation and optimization of resource matching for perception services in power communication networks. [PDF]
Sci RepWei L, Shang L, Zhang M, Li H, Zhu X.
europepmc +1 more source
Advanced Computation Capacity Modeling for Delay-Constrained Placement of IoT Services. [PDF]
Sensors (Basel), 2020 Németh B, Sonkoly B.
europepmc +1 more source
Slice-aware 5G network orchestration framework based on dual-slice isolation and management strategy (D-SIMS). [PDF]
Sci RepVenkatapathy S +5 more
europepmc +1 more source
Emergence of an Orphan Nitrogenase Protein Following Atmospheric Oxygenation. [PDF]
Mol Biol EvolCuevas-Zuviría B +5 more
europepmc +1 more source
An integrated model of threshold-based scaling and fractional admission controlling to improve resource utilization efficiency in 5G core networks. [PDF]
PLoS OneHoa LC, Dang TC, Vo VMN.
europepmc +1 more source
A Novel Orchestrator Architecture for Deploying Virtualized Services in Next-Generation IoT Computing Ecosystems. [PDF]
Sensors (Basel)Mahedero Biot F +6 more
europepmc +1 more source