  Network slicing emerged in 5G networks as a key component to enable the use
of multiple services with different performance requirements on top of a shared
physical network infrastructure. A major challenge lies on ensuring wireless
coverage and enough communications resources to meet the target Quality of
Service (QoS) levels demanded by these services, including throughput and delay
guarantees. The challenge is exacerbated in temporary events, such as disaster
management scenarios and outdoor festivities, where the existing wireless
infrastructures may collapse, fail to provide sufficient wireless coverage, or
lack the required communications resources. Flying networks, composed of
Unmanned Aerial Vehicles (UAVs), emerged as a solution to provide on-demand
wireless coverage and communications resources anywhere, anytime. However,
existing solutions mostly rely on best-effort networks. The main contribution
of this paper is SLICER, an algorithm enabling the placement and allocation of
communications resources in slicing-aware flying networks. The evaluation
carried out by means of ns-3 simulations shows SLICER can meet the targeted QoS
levels, while using the minimum amount of communications resources.
