A review on machine learning in smart antenna: methods and techniques
According to several research circles, it is predicted that future wireless systems that employ smart antenna techniques would be more effective at using available spectrum and at building new networks at lower cost, while also improving service quality and allowing for cross-technology operation. T...
| Main Authors: | , , , |
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| Format: | Article |
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UIKTEN
2022
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| Online Access: | http://psasir.upm.edu.my/id/eprint/100370/ |
| _version_ | 1848863307202560000 |
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| author | Mohammed Sadiq Sulaiman, Nasri Mohd Isa, Maryam Hamidon, Mohd Nizar |
| author_facet | Mohammed Sadiq Sulaiman, Nasri Mohd Isa, Maryam Hamidon, Mohd Nizar |
| author_sort | Mohammed Sadiq |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | According to several research circles, it is predicted that future wireless systems that employ smart antenna techniques would be more effective at using available spectrum and at building new networks at lower cost, while also improving service quality and allowing for cross-technology operation. These systems require constant monitoring in order to function properly, allowing users to apply machine learning algorithms to analyse large amounts of data from various antenna settings. Machine learning is a technique in which a machine learns and improves on its own, based on past data. These techniques enable the smart antenna target to be learned in an efficient, reliable, and adaptive manner. In this paper, the antenna array and antenna developed for the Internet of Things applications were highlighted. In this paper, we review how machine learning techniques can handle these applications effectively and what the concept of adaptive antenna is and when it can be used in this day and age characterized by the rapid development of information technology. |
| first_indexed | 2025-11-15T13:30:50Z |
| format | Article |
| id | upm-100370 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T13:30:50Z |
| publishDate | 2022 |
| publisher | UIKTEN |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1003702023-12-28T03:55:15Z http://psasir.upm.edu.my/id/eprint/100370/ A review on machine learning in smart antenna: methods and techniques Mohammed Sadiq Sulaiman, Nasri Mohd Isa, Maryam Hamidon, Mohd Nizar According to several research circles, it is predicted that future wireless systems that employ smart antenna techniques would be more effective at using available spectrum and at building new networks at lower cost, while also improving service quality and allowing for cross-technology operation. These systems require constant monitoring in order to function properly, allowing users to apply machine learning algorithms to analyse large amounts of data from various antenna settings. Machine learning is a technique in which a machine learns and improves on its own, based on past data. These techniques enable the smart antenna target to be learned in an efficient, reliable, and adaptive manner. In this paper, the antenna array and antenna developed for the Internet of Things applications were highlighted. In this paper, we review how machine learning techniques can handle these applications effectively and what the concept of adaptive antenna is and when it can be used in this day and age characterized by the rapid development of information technology. UIKTEN 2022-05-27 Article PeerReviewed Mohammed Sadiq and Sulaiman, Nasri and Mohd Isa, Maryam and Hamidon, Mohd Nizar (2022) A review on machine learning in smart antenna: methods and techniques. TEM Journal, 11 (2). 695 - 705. ISSN 2217-8309;ESSN: 2217-8333 https://www.temjournal.com/content/112/TEMJournalMay2022_695_705.html 10.18421/TEM112-24, May 2022 |
| spellingShingle | Mohammed Sadiq Sulaiman, Nasri Mohd Isa, Maryam Hamidon, Mohd Nizar A review on machine learning in smart antenna: methods and techniques |
| title | A review on machine learning in smart antenna: methods and techniques |
| title_full | A review on machine learning in smart antenna: methods and techniques |
| title_fullStr | A review on machine learning in smart antenna: methods and techniques |
| title_full_unstemmed | A review on machine learning in smart antenna: methods and techniques |
| title_short | A review on machine learning in smart antenna: methods and techniques |
| title_sort | review on machine learning in smart antenna: methods and techniques |
| url | http://psasir.upm.edu.my/id/eprint/100370/ http://psasir.upm.edu.my/id/eprint/100370/ http://psasir.upm.edu.my/id/eprint/100370/ |