AI and ML for 6G networks [Video]

Today, we are living in an age of weak AI, a category defined by the following five key features:

1. Logical reasoning, e.g., AlphaGo2. Perception, e.g., face recognition3. Knowledge representation, e.g., IBM’s Watson for Oncology4. Language processing, e.g., Apple’s Siri, Amazon’s Alexa5. Planning and navigation, e.g. self-driving cars

Strong AI allows machines to develop capabilities that are equal to or surpass human intelligence (e.g., intelligent robots). Another relevant factor is machine learning (ML) as a subcategory of AI. It is, for instance, used to build systems that learn from data sets rather than from programmed instructions, thus leading to a learning process based on artificial multi-layer neural networks. Now, imagine a future wireless network that comes with an AI-native air interface, making radios capable of learning from the environment and from each other based on trained neural networks.

Neural networks are in turn a subcategory of machine learning and relevant in wireless communication – as the following three examples …