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CLC number: TN92

On-line Access: 2024-08-27

Received: 2023-10-17

Revision Accepted: 2024-05-08

Crosschecked: 2020-05-18

Cited: 0

Clicked: 5797

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Jun Wang

https://orcid.org/0000-0002-8127-9124

Rong Li

https://orcid.org/0000-0003-1040-1484

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

http://doi.org/10.1631/FITEE.1900527


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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Abstract: 
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.

人工智能与无线通信

王俊1,李榕1,王坚1,葛屹群2,张其蕃2,史无限2
1华为技术有限公司无线技术实验室,中国杭州市,310051
2华为技术有限公司无线技术实验室,加拿大渥太华市,K0A3M0

摘要:近来,人工智能和机器学习技术在无线通信领域的应用受到极大关注。人工智能在语音理解、图像识别、自然语言处理等领域取得成功,展示了其解决难以建模问题的巨大潜力。无线通信在大量应用场景中存在着日益增长且多样的需求,而人工智能已成为满足这些需求的重要使能技术。本文详细介绍无线通信中人工智能发挥重要作用的一些典型场景,包括信道建模、信道译码和信号检测以及信道编码设计。进而,从信息瓶颈的角度讨论了人工智能和信息论的关系。最后,讨论了将人工智能技术深入集成在无线通信系统的一些想法。

关键词:无线通信;人工智能;机器学习

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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