The December 2020 issue of the Ericsson Technology Review included an interesting article on AI in RAN, written by Diarmuid Corcoran, Andreas Ermedahl and TECoSA Board Chair Catrin Granbom.
A SOFTWARE FRAMEWORK FOR AI-DRIVEN RAN AUTOMATION: Artificial intelligence and its subfield machine learning offer well-established techniques for solving historically difficult multi-parameterization problems. Used correctly, these techniques have tremendous potential to overcome complex cross-domain automation challenges in radio networks. Our ongoing research reveals that an integrated framework of software enablers will be essential to success. You can read the full paper at: https://www.ericsson.com/en/reports-and-papers/ericsson-technology-review/articles/artificial-intelligence-in-ran