AI for 5G: research directions and paradigms
AI for 5G: research directions and paradigms
复制标题
DOI：
10.1007/s11432-018-9596-5
复制
发表时间：
2018-07
期刊：
影响因子：
--
通讯作者：
X. You;Chuan Zhang;X. Tan;Shi Jin;Hequan Wu
中科院分区：
文献类型：
--
作者：
X. You;Chuan Zhang;X. Tan;Shi Jin;Hequan Wu
第五代移动网络（5G）等无线通信技术不仅将在未来十年使互联网流量增长1000倍，还将为整个行业提供支持物联网（IOT）技术的底层技术。与现有移动通信技术相比，5G的应用更加多样化，相应的系统设计也更加复杂。人工智能（AI）技术的复兴提供了一种可能优于传统理念和性能的替代选择。必须确定、评估和调查与人工智能可以实现的有希望的贡献相关的典型和潜在的研究方向。为此，本研究首先在了解5G关键技术的基础上，梳理了5G人工智能领域几个有前景的研究方向。此外，研究重点提供包括5G网络优化、资源优化分配、5G物理层统一加速、端到端物理层联合优化等设计范式。
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.