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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Format: | Article |
Language: | zho |
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Beijing Xintong Media Co., Ltd
2021-05-01
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Series: | Dianxin kexue |
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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 |
id | doaj-art-54c8f25d91a040cc9bf52a999e3d2851 |
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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