• object-oriented modelling
• mobile networks
• MEC
• SimuLte

Multi-access Edge Computing (MEC) aims to provide cloud-computing capabilities and an IT service environment at the edge of the network to improve the Quality of Experience (QoE) of the end users. MEC services provide real-time information about the underlying network, such as radio condition and user location awareness, that can be used by MEC applications to meet the ever-more stringent Quality of Service (QoS) constraints required by end-users.
This thesis describes the extension of a MEC architecture implemented in SimuLTE, an OMNeT++-based simulator for LTE and LTE-A networks.
The resulting framework acts as enabler for rapid deployment and prototyping of MEC Systems within an LTE-Advanced network where MEC services information can be consumed by MEC applications.
Moreover, the simulator can also be run in emulated mode, promoting the interaction between the MEC services, in the simulator, and MEC applications running outside it.
Two Proof of Concepts will be shown, which take advantage of the information gathered from the MEC Location Service to run MEC applications used in a driving environment.