The Interplay between Artificial Intelligence and 5G-Advanced toward 6G

We have entered the era of artificial intelligence (AI), driven by the convergence of three key forces: the proliferation of big data, advancements in deep learning algorithms, and the acceleration of high-performance computing facilitated by graphics processing units (GPUs). Simultaneously, the global expansion of 5G is reshaping societies. The 3rd Generation Partnership Project (3GPP) is embarking on the second phase of 5G standardization, known as 5G-Advanced, serving as a crucial link to the forthcoming 6G era.

Amidst the transformative impact of AI on industries worldwide, a pertinent question arises: what role will AI play in the realm of wireless communications as we transition from 5G-Advanced to 6G? This lecture aims to address this query by offering insights into the latest 3GPP initiatives concerning the integration of AI and machine learning (ML) in the evolution of 5G. We will delve into the ongoing 3GPP work on leveraging AI/ML to enhance the 5G New Radio (NR) air interface, encompassing a comprehensive framework and specific use cases such as channel state information feedback, beam management, and positioning.

Furthermore, we will explore 3GPP's endeavors to incorporate AI/ML at the architectural level within 5G radio access networks. Anticipating the future, we will discuss what will come next on AI/ML in 5G-Advanced toward 6G, where integrated AI and communication emerge as a key usage scenario.