[PDF][PDF] Modified deep reinforcement learning agent for dynamic resource placement in IoT network slicing

S Ros, P Tam, S Kim - 2022 - researchgate.net
Network slicing is a promising paradigm and significant evolution for adjusting the
heterogeneous services based on different requirements by placing dynamic virtual network …

Modified Deep Reinforcement Learning Agent for Dynamic Resource Placement in IoT Network Slicing.

S Ros, P Tam, S Kim - Journal of Korean Society for Internet …, 2022 - search.ebscohost.com
Network slicing is a promising paradigm and significant evolution for adjusting the
heterogeneous services based on different requirements by placing dynamic virtual network …

Modified Deep Reinforcement Learning Agent for Dynamic Resource Placement in IoT Network Slicing

김석훈 - 2022 - scholarworks.bwise.kr
Network slicing is a promising paradigm and significant evolution for adjusting the
heterogeneous services based on different requirements by placing dynamic virtual network …