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

Wireless Virtual Network Embedding

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