CLC number: TN92
On-line Access: 2020-10-14
Received: 2019-09-27
Revision Accepted: 2020-03-27
Crosschecked: 2020-05-18
Cited: 0
Clicked: 5334
Citations: Bibtex RefMan EndNote GB/T7714
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.
@article{title="Artificial intelligence and wireless communications",
author="Jun Wang, Rong Li, Jian Wang, Yi-qun Ge, Qi-fan Zhang, Wu-xian Shi",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="21",
number="10",
pages="1413-1425",
year="2020",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1900527"
}
%0 Journal Article
%T Artificial intelligence and wireless communications
%A Jun Wang
%A Rong Li
%A Jian Wang
%A Yi-qun Ge
%A Qi-fan Zhang
%A Wu-xian Shi
%J Frontiers of Information Technology & Electronic Engineering
%V 21
%N 10
%P 1413-1425
%@ 2095-9184
%D 2020
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1900527
TY - JOUR
T1 - Artificial intelligence and wireless communications
A1 - Jun Wang
A1 - Rong Li
A1 - Jian Wang
A1 - Yi-qun Ge
A1 - Qi-fan Zhang
A1 - Wu-xian Shi
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 21
IS - 10
SP - 1413
EP - 1425
%@ 2095-9184
Y1 - 2020
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.1900527
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.
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