Mobility management solutions for 5G networks: Architecture and services Abstract   As the number of mobile users grows rapidly, wireless access technologies are evolving to provide high data rates to mobile users and to support emerging applications involving both human and machinetype communications. In this context, 5G is considered as a solution to provide wireless users with high coverage and increased network capacity, by enabling the integration of heterogeneous networks, that may have different wireless access technologies, coverage area sizes and topologies. Within such a setting, a user or a device may find more than one candidate air interfaces to connect or to perform a handover; this further highlights the need for optimum connectivity and seamless mobility in heterogeneous networks to also address the requirements of the emerging 5G vertical use cases in different sectors such as autonomic cars, industrial robotics, Internet of Things etc. In this article, a concise overview of the trends in mobility management will be provided considering the emerging 5G architectures and service types (eMBB, mMTC, URLLC). Specific approaches of vertical handover in 5G are described, considering the novel architectural changes imposed by Software defined Networking (SDN), Network Function Virtualization (NFV) and MultiAccess Edge Computing (MEC). In addition, the paper will address mobility management evolutionary steps in signaling based on the novel architectural elements imposed by SDN, NFV and MEC, considering the requirements of different vertical use cases that will lead to the required throughput, latency, and scalability.

Network Slice Mobility in Next Generation Mobile Systems: Challenges and Potential Solutions Network slicing offers numerous benefits, particularly the ability to deliver highly customizable services to new industry sectors that have been unserved or inadequately served by current mobile network operators. Among new industry use cases that are targeted by the fifth generation (5G) mobile systems, there exist scenarios that go beyond what the current devicecentric mobility approaches can support. The mobility of low latency communication services, shared by a group of moving devices, e.g., autonomous vehicles that share sensor data, is a prime example of these cases. These use casesu0027 demands for ultralow latency can be addressed by leveraging the MultiAccess Edge Computing (MEC) concept, techniques for live migration of virtual resources, Software Defined Networking (SDN), and network slicing. In this article, we define different slice mobility patterns, different methods for grouping users, and different triggers for network slice mobility. Furthermore, we evaluate the mobility of services and network slices based on the simultaneous migrations of multiple containers.