Artificial Intelligence for 6G Networks: Technology Advancement and Standardization

With the deployment of 5G networks, standards organizations have started working on design phase for sixth-generation (6G) networks. 6G networks will be immensely complex, requiring more time, cost and management efforts. On other hand, mobile network operators demand these to intelligent, self-organizing, cost-effective reduce operating expenses (OPEX). Machine learning (ML), a branch artificial intelligence (AI), is answer many challenges providing pragmatic solutions, which can entirely change future wireless technologies. By using some case study examples, we briefly examine most compelling problems, particularly at physical (PHY) link layers in cellular where ML bring significant gains. We also review standardization activities relation use timeline readiness bodies adapt changes. Finally, highlight major issues technology, provide potential directions mitigate them