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AI for 5G: research directions and paradigms

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Abstract

Wireless communication technologies such as fifth generation mobile networks (5G) will not only provide an increase of 1000 times in Internet traffic in the next decade but will also offer the underlying technologies to entire industries to support Internet of things (IOT) technologies. Compared to existing mobile communication techniques, 5G has more varied applications and its corresponding system design is more complicated. The resurgence of artificial intelligence (AI) techniques offers an alternative option that is possibly superior to traditional ideas and performance. Typical and potential research directions related to the promising contributions that can be achieved through AI must be identified, evaluated, and investigated. To this end, this study provides an overview that first combs through several promising research directions in AI for 5G technologies based on an understanding of the key technologies in 5G. In addition, the study focuses on providing design paradigms including 5G network optimization, optimal resource allocation, 5G physical layer unified acceleration, end-to-end physical layer joint optimization, and so on.

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Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant Nos. 61501116, 61521061).

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Authors and Affiliations

  1. National Mobile Communications Research Laboratory, Southeast University, Nanjing, 210096, China

    Xiaohu You, Chuan Zhang, Xiaosi Tan & Shi Jin

  2. Chinese Academy of Engineering, Beijing, 100088, China

    Hequan Wu

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  1. Xiaohu You
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  2. Chuan Zhang
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  3. Xiaosi Tan
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  4. Shi Jin
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  5. Hequan Wu
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Correspondence to Chuan Zhang.

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You, X., Zhang, C., Tan, X. et al. AI for 5G: research directions and paradigms. Sci. China Inf. Sci. 62, 21301 (2019). https://doi.org/10.1007/s11432-018-9596-5

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