  The increased use of Unmanned Aerial Vehicles (UAVs) in numerous domains will
result in high traffic densities in the low-altitude airspace. Consequently,
UAVs Traffic Management (UTM) systems that allow the integration of UAVs in the
low-altitude airspace are gaining a lot of momentum. Furthermore, the 5th
generation of mobile networks (5G) will most likely provide the underlying
support for UTM systems by providing connectivity to UAVs, enabling the
control, tracking and communication with remote applications and services.
However, UAVs may need to communicate with services with different
communication Quality of Service (QoS) requirements, ranging form best-effort
services to Ultra-Reliable Low-Latency Communications (URLLC) services. Indeed,
5G can ensure efficient Quality of Service (QoS) enhancements using new
technologies, such as network slicing and Multi-access Edge Computing (MEC). In
this context, Network Functions Virtualization (NFV) is considered as one of
the pillars of 5G systems, by providing a QoS-aware Management and
Orchestration (MANO) of softwarized services across cloud and MEC platforms.
The MANO process of UAV's services can be enhanced further using the
information provided by the UTM system, such as the UAVs'flight plans. In this
paper,we propose an extended framework for the management and orchestration of
UAVs'services in MECNFV environment by combining the functionalities provided
by the MEC-NFV management and orchestration framework with the functionalities
of a UTM system. Moreover, we propose an Integer Linear Programming (ILP) model
of the placement scheme of our framework and we evaluate its performances.
