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CLC number: TN92

On-line Access: 2020-10-14

Received: 2019-09-27

Revision Accepted: 2020-03-27

Crosschecked: 2020-05-18

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Citations:  Bibtex RefMan EndNote GB/T7714


Jun Wang


Rong Li


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Frontiers of Information Technology & Electronic Engineering  2020 Vol.21 No.10 P.1413-1425


Artificial intelligence and wireless communications

Author(s):  Jun Wang, Rong Li, Jian Wang, Yi-qun Ge, Qi-fan Zhang, Wu-xian Shi

Affiliation(s):  Wireless Technology Laboratory, Huawei Technologies Co., Ltd., Hangzhou 310051, China; more

Corresponding email(s):   justin.wangjun@huawei.com, lirongone.li@huawei.com, wangjian23@huawei.com, yiqun.ge@huawei.com, qifan.zhang@huawei.com, wuxian.shi@huawei.com

Key Words:  Wireless communications, Artificial intelligence, Machine learning

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Jun Wang, Rong Li, Jian Wang, Yi-qun Ge, Qi-fan Zhang, Wu-xian Shi. Artificial intelligence and wireless communications[J]. Frontiers of Information Technology & Electronic Engineering, 2020, 21(10): 1413-1425.

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The applications of artificial intelligence (AI) and machine learning (ML) technologies in wireless communications have drawn significant attention recently. AI has demonstrated real success in speech understanding, image identification, and natural language processing domains, thus exhibiting its great potential in solving problems that cannot be easily modeled. AI techniques have become an enabler in wireless communications to fulfill the increasing and diverse requirements across a large range of application scenarios. In this paper, we elaborate on several typical wireless scenarios, such as channel modeling, channel decoding and signal detection, and channel coding design, in which AI plays an important role in wireless communications. Then, AI and information theory are discussed from the viewpoint of the information bottleneck. Finally, we discuss some ideas about how AI techniques can be deeply integrated with wireless communication systems.





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