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A Survey of Computational Intelligence for 6G: Key Technologies, Applications and Trends

机译：6G计算智能的调查：关键技术，应用和趋势

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摘要

The ongoing deployment of 5G network involves the Internet of Things (IoT) as a new technology for the development of mobile communication, where the Internet of Everything (IoE) as the expansion of IoT has catalyzed the explosion of data and can trigger new eras. However, the fundamental and key component of the IoE depends on the computational intelligence (CI), which may be utilized in the sixth generation mobile communication system (6G). The motivation of this article presents the 6G enabled network in box (NIB) architecture as a powerful integrated solution that can support comprehensive network management and operations. The 6G enabled NIB can be used as an alternative method to meet the needs of next-generation mobile networks by dynamically reconfiguring the deployment of network functions, providing a high degree of flexibility for connection services in various situations. Especially the CI technology such as evolutionary computing, neural computing and fuzzy systems utilized as a part of NIB have inherent capabilities to handle various uncertainties, which have unique advantages in processing the variability and diversity of large amounts of data. Finally, CI technology for NIB, which is widely used is also introduced such as distributed computing, fog computing, and mobile edge computing in order to achieve different levels of sustainable computing infrastructure. This article discusses the key technologies, advantages, industrial scenario applications of CI technology as NIB, typical use cases and development trends based on IoE, which provides directional guidance for the development of CI technology as NIB for 6G.
机译：持续部署5G网络涉及物联网（IOT）作为移动通信发展的新技术，其中一切（IOE）的互联网作为IOT的扩展催化了数据的爆炸，可以触发新的时代。然而，IOE的基本和关键部件取决于计算智能（CI），其可以在第六代移动通信系统（6G）中使用。本文的动机介绍了框（NIB）架构中的6G支持网络，作为一种功能强大的集成解决方案，可以支持全面的网络管理和操作。通过动态重新配置网络功能的部署，可以将6G启用的NIB用作满足下一代移动网络的需求，以便在各种情况下为连接服务提供高度灵活性。特别是CI技术，例如作为NIB的一部分使用的进化计算，神经计算和模糊系统具有处理各种不确定性的固有能力，其在处理大量数据的变化和多样性方面具有独特的优势。最后，还引入了用于NIB的CI技术，其被广泛使用，例如分布式计算，雾计算和移动边缘计算，以实现不同级别的可持续计算基础架构。本文讨论了CI技术作为基于IOIB的典型用例和发展趋势的关键技术，优势，工业场景应用，为CI技术开发为6G，为6G提供了方向指导。

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