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With the ever growing diversity of devices and applications that will beconnected to 5G networks, flexible and agile service orchestration withacknowledged QoE that satisfies end-user's functional and QoS requirements isnecessary. SDN (Software-Defined Networking) and NFV (Network FunctionVirtualization) are considered key enabling technologies for 5G core networks.In this regard, this paper proposes a reinforcement learning basedQoS/QoE-aware Service Function Chaining (SFC) in SDN/NFV-enabled 5G slices.First, it implements a lightweight QoS information collector based on LLDP,which works in a piggyback fashion on the southbound interface of the SDNcontroller, to enable QoS-awareness. Then, a DQN (Deep Q Network) based agentframework is designed to support SFC in the context of NFV. The agent takesinto account the QoE and QoS as key aspects to formulate the reward so that itis expected to maximize QoE while respecting QoS constraints. The experimentresults show that this framework exhibits good performance in QoE provisioningand QoS requirements maintenance for SFC in dynamic network environments.

Reinforcement Learning based QoS/QoE-aware Service Function Chaining in Software-Driven 5G Slices