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From IoT to 5G I-IoT: The Next Generation IoT-Based Intelligent Algorithms and 5G Technologies

机译:从物联网到5G I-IoT:下一代基于IoT的智能算法和5G技术

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摘要

The Internet of Things is a novel paradigm with access to wireless communication systems and artificial intelligence technologies, which is considered to be applicable to a variety of promising fields and applications. Meanwhile, the development of the fifth-generation cellular network technologies creates the possibility to deploy enormous sensors in the framework of the IoT and to process massive data, challenging the technologies of communications and data mining. In this article, we propose a novel paradigm, 5G Intelligent Internet of Things (5G I-IoT), to process big data intelligently and optimize communication channels. First, we articulate the concept of the 5G I-IoT and introduce three major components of the 5G I-IoT. Then we expound the interaction among these components and introduce the key methods and techniques based on our proposed paradigm, including big data mining, deep learning, and reinforcement learning. In addition, an experimental result evaluates the performance of 5G I-IoT, and the effective utilization of channels and QoS have been greatly improved. Finally, several application fields and open issues are discussed.
机译:物联网是一种可以访问无线通信系统和人工智能技术的新颖范例,被认为适用于各种有前途的领域和应用。同时,第五代蜂窝网络技术的发展为在IoT框架中部署大型传感器和处理海量数据提供了可能性,这对通信和数据挖掘技术提出了挑战。在本文中,我们提出了一种新颖的范例,即5G智能物联网(5G I-IoT),用于智能处理大数据并优化通信渠道。首先,我们阐明5G I-IoT的概念,并介绍5G I-IoT的三个主要组成部分。然后,我们阐述了这些组件之间的相互作用,并基于我们提出的范例介绍了关键的方法和技术,包括大数据挖掘,深度学习和强化学习。此外,实验结果评估了5G I-IoT的性能,并且大大提高了信道的有效利用率和QoS。最后,讨论了几个应用领域和未解决的问题。

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