ality (VR/AR) applications since those require very low delays. This approach is also referred to as MEC. The key challenge for MEC is to establish an efficient data-forwarding path between the UE and the closest service instance and to adapt the data-forwarding path as the UE changes location. 5GC provides various enablers to achieve this. Network slicing: the cellular ecosystem has been expanding into new domains, includ- ing low-power wide area (LPWA) Internet of Things (IoT), mission-critical and priority services (MCS/MPS), and more recently industrial automation, also known as Industrial Internet of Things (IIoT). The requirements of those different verticals on the underlying 5G network are, however, very different. Therefore, 5GS deployments will need to support diverse core network functionalities and configurations in the same Public Land Mobile Network (PLMN). Earlier 3GPP system generations already provided an increasing level of support for selecting different core network functions and network configurations for different groups of UEs (e.g. based on the Release-13 dedicated core network[DECOR] feature for EPS). 5GS network slicing adds to this by increasing further the deployment flexibility and isolation of different sets of core network functions, enabling differenti- ation and isolation of groups of UEs within the RAN, and by specifying slice selection policies for the UE, which provides operators with more control over which application traffic will be handled by which set of network functions. Private networks: the promise of a radio interface, which supports very low latencies and is highly reliable at the same time, has attracted significant interest from various industries to replace existing wired networks, e.g. for motion control of robot arms or to address logistics use cases. However, traditional wide-area cellular network deployments, which are based on a very distributed radio network and a centralized core network, do not address the data privacy needs and reliability concerns of tho