6G-GOALS

The fourth industrial revolution (Industry 4.0) is characterised by a tight integration of data collection and telecommunication technologies with advanced production and manufacturing systems. In this context, effectively managing and controlling mobile networks is crucial for staying competitive and sustaining daily time-sensitive production operations, enabling businesses to function more efficiently, securely, and with greater resilience.

However, managing advanced networking technologies goes beyond just monitoring connection speed and reliability, it also involves interfacing with complex systems and handling vast amounts of diverse data. By leveraging advanced AI models like large language models (LLMs) and state-of-the-art communication paradigms, the SSRF (Semantic State Representation Function) provides network administrators with a clear and customised description of network conditions, reducing the manual effort typically needed to achieve the same outcome. We can, therefore, note that the SSRF, acting as a filter between an advanced technological system like the 5GC, plays a key role in enhancing the system manager experience, also for those who may have partial mobile networking knowledge. In addition, the SSRF is central to human-machine interaction and to more innovative communication paradigms, such as the Machine-to-Machine (M2M) communication paradigm, which is becoming increasingly important in modern networks.

The SSRF can be exploited to make interoperable heterogeneous systems that a priori do not share a communication protocol, acting as a semantic interface and letting them “talk” to each other without human mediation. Recent advanced AI techniques, such as LLMs combined with the M2M communication paradigm, could lead to more autonomous and efficient systems capable of managing complex tasks without human intervention, optimising processes, and enhancing overall system performance in real time.