Wireless Virtual Network Embedding

Model-based AI approach for network and service coordination leveraging uncertain traffic forecasts

Machine Learning for Dynamic Resource Allocation in Network Function Virtualization

Dynamic multi-cell selection for cooperative multipoint (CoMP) using (multi-agent) deep reinforcement learning

Main repository, wiki, and issue tracker of PG SCrAMblE

Pishahang is an NFV MANO framework that manages and orchestrates services across multiple technological domains

NFVdeep: Deep Reinforcement Learning for Online Orchestration of Service Function Chains

A compiler that automatically generates simulation code (OMNeT++) for analyzing network services specified as Petri nets.

Every Node for Itself: Fully Distributed Service Coordination