The telecommunications sector is living a historical turning point. The arrival of 5G is already transforming entire industries, but the gaze is directed towards the evolution of 6G, where the demands will be even greater: ultra -granted connections, stable and capable of responding to such diverse demands as streaming in 8K, connected factories or autonomous vehicles. To achieve that goal, artificial intelligence (AI) and automation have become essential pieces.
Of static networks to infrastructure that learn
The first mobile generations were characterized by their rigidity: once configured, they depended largely on human intervention. Today, with complex infrastructure and ecosystems of multiple suppliers, this model has become obsolete. Automation has allowed optimizing routine processes, such as balance loads or detect failures, but the real jump is in AI.
As Nokia analysts explain, “an automated network executes predefined processes; a network with AI is able to learn, anticipate and adapt in real time.” This difference opens the door to a more resilient and efficient ecosystem, prepared for changing scenarios such as demand peaks in mass events or the management of emergency critical services.
The arrival of 5G is already transforming entire industries, but the look is directed towards the evolution of 6g, where the demands will be even greater
Use cases that are already a reality
Among the clearest examples is Network Slicing or network segmentation. This technique allows to divide the same infrastructure into multiple virtual networks, each with performance parameters. Thus, an autonomous car can have an ultrabaja latency connection, while home automation devices work in optimized segments for low consumption. AI is responsible for assigning resources and avoiding interference.
Another practical case is energy efficiency. Many antennas and stations do not always operate at maximum capacity. Smart algorithms allow to disconnect modules temporarily, saving energy without the user perceiving it. The impact is double: sustainability and cost reduction.
Transition phase operators
The main telecommunications providers already work to integrate modular solutions compatible with open standards as O -ran. The objective is clear: build networks capable of coordinating from radio access to the nucleus, sharing real -time information. Without this comprehensive approach, AI could not display its full potential.
AI and 6G: an inseparable alliance
The jump from 5g to 6g will not be just a matter of speed. Networks must be autonomous, scalable and flexible. This implies that AI cannot be considered an accessory, but the engine that will enable new services, business models and user experiences. It is not only about optimizing connectivity, but about transforming the way we interact with technology.
From autonomous driving to telemedicine in real time, through immersive experiences in metovers, everything will depend on smart networks capable of learning and adapting. In experts, “who invest in artificial intelligence today is defining tomorrow’s communication.”
RedCap: The other side of 5g
Within this context the 5G Redcap arises (Reduced capability), designed for devices that require more capacity than the narrow band IoT, but without reaching 5G high performance. It is an ideal solution for smart cities, logistics or industrial environments where millions of sensors and devices coexist. RedCap combines energy efficiency, low cost and key functionalities such as network segmentation, which facilitates its mass adoption.
