The high popularity of smartphones and mobile PCs is expected to increase wireless data traffic in the order of 1000 times by 2020 [1]. However, the current situation of Mobile Network Operator (MNO)s is characterized by increasing margin pressure due to declining revenues and an increasing cost base. Self-optimization functionalities, e.g. for Mobility Robustness Optimization (MRO), are essential means for reducing Operational Expenditure (OPEX). In particular, mobile user groups or moving networks at high speeds impose challenges and may severely degrade network performance as well as user experience. The Fuzzy Q-Learning-based approach presented in this paper aims at providing a generic basis for enabling self-optimizing and self-healing network operations. The designed concept consists of the following key components: Fuzzy Inference System (FIS), heuristic Exploration/Exploitation Policy (EEP), and Q-Learning (QL). Its performance in a reference scenario is compared with a trend-based handover (HO) optimization scheme presented in [2] and a scheme that assigns time-to-trigger (TTT) values based on velocity estimates.

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One of the main objectives of the METIS-II project was to enable 5G concepts to reach and convince a wide audience from technology experts to decision makers from non-ICT industries. To achieve this objective, it was necessary to provide easy-to-understand and insightful visualization of 5G. This paper presents the visualization platform developed in the METIS-II project as a joint work of researchers and artists, which is a 3D visualization tool that allows viewers to interact with 5G-enabled scenarios, while permitting simulation driven data to be intuitively evaluated. The platform is a game-based customizable tool that allows a rapid integration of new concepts, allows real-time interaction with remote 5G simulators, and provides a virtual reality-based immersive user experience. As a result, the METIS-II visualization platform has successfully contributed to the dissemination of 5G in different fora and its use will be continued after METIS-II.