Spotlight on 5G
Embedding a complete Monitoring and Analytics (M&A) framework is key for the design and implementation of 5G. As regards Monitoring, Infrastructure Monitoring (IM) focuses on the collection of data on the status of architectural components, while Performance Monitoring (PM) is devoted to the collection of end-to-end (E2E) performance indicators, in order to highlight end-users’ Quality of Service (QoS) and Experience (QoE). Considering Analytics, traditional statistical approaches are being complemented by Machine Learning (ML)-based schemes, that better cope with the exponential growth of collectable data. Analytics based on ML and big data enables efficient management of large sets of heterogeneous data, and drives the discovery of hidden values and correlation among them. The instantiation of a high-performing M&A framework is key from a user performance perspective, but also extremely valuable from the point of view of operators, in order to reduce operational costs (OPEX), and be able to comply with Service Level Agreements (SLAs).
Being part of 5GENESIS, a large EU Project on 5G experimental validation and showcasing, the MOSAIC Department creates a unique chance to get involved in the ongoing 5G experimentation. In particular, the goal is to contribute to the definition of Monitoring tools and Machine Learning-oriented Analytics, which would allow to assess 5G performance, pinpoint correlations between infrastructure and performance indicators, and perform anomaly detection and prediction towards further system optimization.
Deep knowledge of cellular technologies (4G, 5G), practical experience with real experimentation testbeds, ML-oriented Analytics.
Foundations of cellular communications, knowledge of machine learning and big data tools, Python programming.
- Özgü Alay
- Giuseppe Caso
Simula Metropolitan Center For Digital Engineering AS