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Artificial Intelligence-Enabled Intelligent 6G Networks

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arxiv 1912.05744 v2 pith:YMP7UHOB submitted 2019-12-12 cs.NI eess.SP

classification cs.NIeess.SP
keywords networksintelligentlayermanagementsmartai-enabledapplicationsarchitecture
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With the rapid development of smart terminals and infrastructures, as well as diversified applications (e.g., virtual and augmented reality, remote surgery and holographic projection) with colorful requirements, current networks (e.g., 4G and upcoming 5G networks) may not be able to completely meet quickly rising traffic demands. Accordingly, efforts from both industry and academia have already been put to the research on 6G networks. Recently, artificial intelligence (AI) has been utilized as a new paradigm for the design and optimization of 6G networks with a high level of intelligence. Therefore, this article proposes an AI-enabled intelligent architecture for 6G networks to realize knowledge discovery, smart resource management, automatic network adjustment and intelligent service provisioning, where the architecture is divided into four layers: intelligent sensing layer, data mining and analytics layer, intelligent control layer and smart application layer. We then review and discuss the applications of AI techniques for 6G networks and elaborate how to employ the AI techniques to efficiently and effectively optimize the network performance, including AI-empowered mobile edge computing, intelligent mobility and handover management, and smart spectrum management. Moreover, we highlight important future research directions and potential solutions for AI-enabled intelligent 6G networks, including computation efficiency, algorithms robustness, hardware development and energy management.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Towards 6G Intelligence: The Role of Generative AI in Future Wireless Networks

    cs.DC 2025-08 unverdicted novelty 2.0 of 10

    A survey chapter argues that generative AI is foundational to 6G ambient intelligence, presenting no new result, derivation, or experimental evidence.

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