ABSTRACT
Globally, the rapid development of fifth-generation (5G) networks is being widely deployed. Meanwhile, efforts of extensive research from industries and academia have begun to explore sixth-generation (6G) communication networks beyond 5G. The design and optimization of 6G networks with high levels of intelligence have been made easier with the aid of artificial intelligence (AI) techniques. These wireless 6G emerging technologies, such as optical-free technology, quantum technology, native network slicing, integrated access backhaul networks, and holographic beam forming, enable the wireless propagation environment via signal transmissions and receptions are discussed. Based on the edge AI requirements, the product of combining AI with 6G communication technologies were introduced optimally. This technique focused on federated, decentralized, split, distributed reinforcement, and trustworthy learning models that can improve the potential of 6G communication networks in various applications. Edge AI deployed the centralized, decentralized, hybrid, self-learning, and end-to-end architecture to the edge nodes that provide the user's service to fully exploit the power of edge computing and it also achieves the maximum potential in data analytics. Due to the complexity of the virtual environment, edge AI faced higher demands on interacting with the metaverse framework. The main intention of this work is to bring a virtual and real-world conversation with billions of people who can interact with one another. In contrast to conventional intelligent applications, this framework explores the system architecture, virtual communication platforms, software, and hardware facilities to achieve low latency, ultra-high bandwidth, and reliability in user-defined networks. To be more precise, this chapter demonstrates the edge cloud metaverse (ECM), mobile ECM, and decentralized metaverse architectures that utilize the edge AI empowered by the 6G to address resource and compute restrictions in the framework. Additionally, a summary of the technical features and applications presented in the metaverse is established. Finally, the technical convergence of edge computing AI with 6G technologies is emphasized along with future research possibilities.
