Multi-Access Edge Computing (MEC) Based on MIMO: A Survey
With the rapid development of wireless communication technology and the emergence of intelligent applications, higher requirements have been put forward for data communication and computing capacity. Multi-access edge computing (MEC) can handle highly demanding applications by users by sinking the s...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-04-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/23/8/3883 |
| _version_ | 1827743768888999936 |
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| author | Mengyu Zhu Shaoshuai Gao Guofang Tu Deyuan Chen |
| author_facet | Mengyu Zhu Shaoshuai Gao Guofang Tu Deyuan Chen |
| author_sort | Mengyu Zhu |
| collection | DOAJ |
| description | With the rapid development of wireless communication technology and the emergence of intelligent applications, higher requirements have been put forward for data communication and computing capacity. Multi-access edge computing (MEC) can handle highly demanding applications by users by sinking the services and computing capabilities of the cloud to the edge of the cell. Meanwhile, the multiple input multiple output (MIMO) technology based on large-scale antenna arrays can achieve an order-of-magnitude improvement in system capacity. The introduction of MIMO into MEC takes full advantage of the energy and spectral efficiency of MIMO technology, providing a new computing paradigm for time-sensitive applications. In parallel, it can accommodate more users and cope with the inevitable trend of continuous data traffic explosion. In this paper, the state-of-the-art research status in this field is investigated, summarized and analyzed. Specifically, we first summarize a multi-base station cooperative mMIMO-MEC model that can easily be expanded to adapt to different MIMO-MEC application scenarios. Subsequently, we comprehensively analyze the current works, compare them to each other and summarize them, mainly from four aspects: research scenarios, application scenarios, evaluation indicators and research issues, and research algorithms. Finally, some open research challenges are identified and discussed, and these indicate the direction for future research on MIMO-MEC. |
| first_indexed | 2024-03-11T04:33:11Z |
| format | Article |
| id | doaj.art-96561082ad04469fbd265786f0db0906 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T04:33:11Z |
| publishDate | 2023-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-96561082ad04469fbd265786f0db09062023-11-17T21:15:58ZengMDPI AGSensors1424-82202023-04-01238388310.3390/s23083883Multi-Access Edge Computing (MEC) Based on MIMO: A SurveyMengyu Zhu0Shaoshuai Gao1Guofang Tu2Deyuan Chen3School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 101408, ChinaSchool of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 101408, ChinaSchool of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 101408, ChinaSchool of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 101408, ChinaWith the rapid development of wireless communication technology and the emergence of intelligent applications, higher requirements have been put forward for data communication and computing capacity. Multi-access edge computing (MEC) can handle highly demanding applications by users by sinking the services and computing capabilities of the cloud to the edge of the cell. Meanwhile, the multiple input multiple output (MIMO) technology based on large-scale antenna arrays can achieve an order-of-magnitude improvement in system capacity. The introduction of MIMO into MEC takes full advantage of the energy and spectral efficiency of MIMO technology, providing a new computing paradigm for time-sensitive applications. In parallel, it can accommodate more users and cope with the inevitable trend of continuous data traffic explosion. In this paper, the state-of-the-art research status in this field is investigated, summarized and analyzed. Specifically, we first summarize a multi-base station cooperative mMIMO-MEC model that can easily be expanded to adapt to different MIMO-MEC application scenarios. Subsequently, we comprehensively analyze the current works, compare them to each other and summarize them, mainly from four aspects: research scenarios, application scenarios, evaluation indicators and research issues, and research algorithms. Finally, some open research challenges are identified and discussed, and these indicate the direction for future research on MIMO-MEC.https://www.mdpi.com/1424-8220/23/8/3883multiple input multiple outputmulti-access edge computing |
| spellingShingle | Mengyu Zhu Shaoshuai Gao Guofang Tu Deyuan Chen Multi-Access Edge Computing (MEC) Based on MIMO: A Survey Sensors multiple input multiple output multi-access edge computing |
| title | Multi-Access Edge Computing (MEC) Based on MIMO: A Survey |
| title_full | Multi-Access Edge Computing (MEC) Based on MIMO: A Survey |
| title_fullStr | Multi-Access Edge Computing (MEC) Based on MIMO: A Survey |
| title_full_unstemmed | Multi-Access Edge Computing (MEC) Based on MIMO: A Survey |
| title_short | Multi-Access Edge Computing (MEC) Based on MIMO: A Survey |
| title_sort | multi access edge computing mec based on mimo a survey |
| topic | multiple input multiple output multi-access edge computing |
| url | https://www.mdpi.com/1424-8220/23/8/3883 |
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