What is Electromagnetic Absorption Rate

As a future leading technology, sixth generation (6G) networks should be capable of dynamic allocation of resources, process signals, and change in traffic flow. AI/ML can bring about such solutions to manage such tasks. AI-empowered techniques can be used in optimizing the performance of the network efficiently together with mobile edge computing. AI/ML techniques provide the possibility of producing automatic-learning models for optimized network for 6G wireless networks, which grants operators/providers the access for optimizing parameters of network and automatic network adjustment. In this chapter, the authors explore the various applications of AI/ML in sixth-generation and next generation networks and provide detailed explanation on how AI/ML may be implemented in 6G network effectively. Moreover, they provide possible issues while implementing AI-empowered 6G networks.