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With the fifth generation of mobile networks (5G) diverse new use cases arise, including enhanced Mobile Broadband (eMBB), industrial and sensor networks as well as highly safety and security critical communication services. These new use cases introduce very different requirements on the mobile communication networks, e.g., network reliability, latency and throughput. Massive network virtualization and end-to-end mobile network slicing are seen as key enablers to handle those differing requirements and providing mobile network services for the various 5G use cases by a shared physical network infrastructure. However, resource allocation and mobile network slice embedding are still unsolved problems. Therefore, in this paper a standardized and easy to understand Integer Linear Program for offline mobile network slice embedding, especially focusing on resource allocation and virtual node as well as link mapping, will be presented. Moreover, the question of how to efficiently determine a nearly optimal end-to-end mobile network slice embedding on a shared network infrastructure will be answered.

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Self-organising Networks (SON) as introduced for 3G Long Term Evolution (LTE) will typically involve several different SON functions. These functions are not necessarily aware of each other and may have complex relations and interdependencies, for example, conflicting parameter settings, depending on their design and approach. Coordination of SON functions may become necessary in order to harmonise the actions of SON functions and allow for a stable and reliablebehaviour of the SON system. This paper describes different conflict types, harmonisation approaches to avoid and resolve conflicts, and a functional framework with different roles to achieve harmonisation. An exemplary case study is given. The paper concludes that, in case several conflicting SON functions are implemented in a network, a SON Coordinator may be beneficial to prevent from network instabilities and/or to improve the performance.

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The fifth generation (5G) of mobile networks will support several new use cases, like the Internet of Things (IoT), massive Machine Type Communication (mMTC) and Ultra-Reliable and Low Latency Communication (URLLC) as well as significant improvements of the conventional Mobile Broadband (MBB) use case. End-to-end network slicing is a key-feature of 5G since it allows to share and at the same time isolate resources between several different use cases as well as between tenants by providing logical network. The virtual separation of the network slices on a common end-to-end mobile network infrastructure enables an efficient usage of the underlying network resources and provides means for security and safety related isolation of the defined logical networks. A much-discussed challenge is the reuse or overbooking of resources guaranteed by contract. However, there is a consensus that over-provisioning of mobile communication bands is economically infeasible and a certain risk of network overload is acceptable for the majority of the 5G use cases. In this paper, an efficient model for mobile network slice embedding is presented which enables an informed decision on network slice admission. This is based on the guaranteed endto-end mobile network resources that have to be provided on the one hand and the capacities and capabilities of the underlying network infrastructure on the other hand. The network slice embedding problem is solved in form of a Mixed Integer Linear Program with an uncertainty-aware objective function. Subsequently, the confidence in the availability of each resource is analyzed.