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A taxonomy of AI techniques for 6G communication networks
Computer Communications ( IF 4.5 ) Pub Date : 2020-08-05 , DOI: 10.1016/j.comcom.2020.07.035
Karan Sheth , Keyur Patel , Het Shah , Sudeep Tanwar , Rajesh Gupta , Neeraj Kumar

With 6G flagship program launched by the University of Oulu, Finland, for full future adaptation of 6G by 2030, many institutes worldwide have started to explore various issues and challenges in 6G communication networks. 6G offers ultra high-reliable and massive ultra-low latency while opening the doors for many applications currently not viable by today’s 4G and 5G communication standards. The current 5G technology has security and privacy issues which makes its usage in limited applications. In such an environment, we believe that AI can offer efficient solutions for the aforementioned issues having low communication overhead cost. Keeping focus on all these issues, in this paper, we presented a comprehensive survey on AI-enabled 6G communication technology, which can be used in wide range of future applications. In this article, we explore how AI can be integrated into different applications such as object localization, UAV communication, surveillance, security and privacy preservation etc. Finally, we discussed a use case that shows the adoption of AI techniques in intelligent transport system.



中文翻译:

用于6G通信网络的AI技术分类

芬兰奥卢大学发起了6G旗舰计划,该计划旨在到2030年全面适应6G,全球许多机构已经开始探索6G通信网络中的各种问题和挑战。6G提供了超高可靠性和巨大的超低延迟,同时为当今4G和5G通信标准无法实现的许多应用打开了大门。当前的5G技术存在安全和隐私问题,因此只能在有限的应用中使用。在这样的环境下,我们相信AI可以为上述问题提供有效的解决方案,而其通信开销成本却很低。我们将重点放在所有这些问题上,在本文中,我们对支持AI的6G通信技术进行了全面的调查,该技术可在未来的广泛应用中使用。在这篇文章中,

更新日期:2020-08-09
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