An survey on application of artificial intelligence in 5G system

With the continuous development of 5G, the era of the internet of everything is coming.Problems such as massive device connections, massive application requests, ultra-high network load and complex dynamic network environment pose great challenges to the optimization of 5G systems in the context of...

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Main Authors: Jianwu ZHANG, Luxin WANG, Lingfen SUN, Qianye ZHANG, Hangguan SHAN
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2021-05-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021109/
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author Jianwu ZHANG
Luxin WANG
Lingfen SUN
Qianye ZHANG
Hangguan SHAN
author_facet Jianwu ZHANG
Luxin WANG
Lingfen SUN
Qianye ZHANG
Hangguan SHAN
author_sort Jianwu ZHANG
collection DOAJ
description With the continuous development of 5G, the era of the internet of everything is coming.Problems such as massive device connections, massive application requests, ultra-high network load and complex dynamic network environment pose great challenges to the optimization of 5G systems in the context of the internet of everything.Facing these challenges, artificial intelligence (AI) shows its unique advantages.Firstly, the advantages of deep learning driven AI algorithms in 5G system compared with conventional algorithms were briefly introduced.Then, the application of AI algorithms in multi-access edge computing (MEC) and mmWave massive multiple-input multiple-output (MIMO) system were described in detail, with advantages and disadvantages of each method being compared and analyzed.Finally, according to the existing research, the shortcomings of AI algorithms in 5G application scenarios were summarized and the future research directions were forecasted.
format Article
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institution Kabale University
issn 1000-0801
language zho
publishDate 2021-05-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-54c8f25d91a040cc9bf52a999e3d28512025-01-15T03:26:13ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012021-05-0137143159807948An survey on application of artificial intelligence in 5G systemJianwu ZHANGLuxin WANGLingfen SUNQianye ZHANGHangguan SHANWith the continuous development of 5G, the era of the internet of everything is coming.Problems such as massive device connections, massive application requests, ultra-high network load and complex dynamic network environment pose great challenges to the optimization of 5G systems in the context of the internet of everything.Facing these challenges, artificial intelligence (AI) shows its unique advantages.Firstly, the advantages of deep learning driven AI algorithms in 5G system compared with conventional algorithms were briefly introduced.Then, the application of AI algorithms in multi-access edge computing (MEC) and mmWave massive multiple-input multiple-output (MIMO) system were described in detail, with advantages and disadvantages of each method being compared and analyzed.Finally, according to the existing research, the shortcomings of AI algorithms in 5G application scenarios were summarized and the future research directions were forecasted.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021109/5Gartificial intelligencereinforcement learningedge computingmmWave massive MIMO
spellingShingle Jianwu ZHANG
Luxin WANG
Lingfen SUN
Qianye ZHANG
Hangguan SHAN
An survey on application of artificial intelligence in 5G system
Dianxin kexue
5G
artificial intelligence
reinforcement learning
edge computing
mmWave massive MIMO
title An survey on application of artificial intelligence in 5G system
title_full An survey on application of artificial intelligence in 5G system
title_fullStr An survey on application of artificial intelligence in 5G system
title_full_unstemmed An survey on application of artificial intelligence in 5G system
title_short An survey on application of artificial intelligence in 5G system
title_sort survey on application of artificial intelligence in 5g system
topic 5G
artificial intelligence
reinforcement learning
edge computing
mmWave massive MIMO
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2021109/
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