Artificial-Intelligence-Enabled Intelligent 6G Networks

With the rapid development of smart terminals and infrastructures, as well as\ndiversified applications (e.g., virtual and augmented reality, remote surgery\nand holographic projection) with colorful requirements, current networks (e.g.,\n4G and upcoming 5G networks) may not be able to completely meet quickly rising\ntraffic demands. Accordingly, efforts from both industry and academia have\nalready been put to the research on 6G networks. Recently, artificial\nintelligence (AI) has been utilized as a new paradigm for the design and\noptimization of 6G networks with a high level of intelligence. Therefore, this\narticle proposes an AI-enabled intelligent architecture for 6G networks to\nrealize knowledge discovery, smart resource management, automatic network\nadjustment and intelligent service provisioning, where the architecture is\ndivided into four layers: intelligent sensing layer, data mining and analytics\nlayer, intelligent control layer and smart application layer. We then review\nand discuss the applications of AI techniques for 6G networks and elaborate how\nto employ the AI techniques to efficiently and effectively optimize the network\nperformance, including AI-empowered mobile edge computing, intelligent mobility\nand handover management, and smart spectrum management. Moreover, we highlight\nimportant future research directions and potential solutions for AI-enabled\nintelligent 6G networks, including computation efficiency, algorithms\nrobustness, hardware development and energy management.\n