User-centric learning for multiple access selections
We are in the age where business growth is based on how user-centric your services or goods is. Current research on wireless system is more focused on ensuring that user could achieve optimal throughput with minimal delay, disregarding what user actually wants from the services. Looking from con-nec...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English English |
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Blue Eyes Intelligence Engineering and Sciences Publication
2019
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/79899/ http://irep.iium.edu.my/79899/1/79899_User-Centric%20Learning.pdf http://irep.iium.edu.my/79899/2/79899_User-Centric%20Learning_SCOPUS.pdf |
| _version_ | 1848788868133814272 |
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| author | Dzulkifli, Sumayyah Hashim, Wahidah Ismail, Ahmad Fadzil Dohler, Mischa |
| author_facet | Dzulkifli, Sumayyah Hashim, Wahidah Ismail, Ahmad Fadzil Dohler, Mischa |
| author_sort | Dzulkifli, Sumayyah |
| building | IIUM Repository |
| collection | Online Access |
| description | We are in the age where business growth is based on how user-centric your services or goods is. Current research on wireless system is more focused on ensuring that user could achieve optimal throughput with minimal delay, disregarding what user actually wants from the services. Looking from con-nectivity point of view, especially in urban areas these days, there are multiple mobile and wireless access that user could choose to get connected to. As people are looking toward machine automa-tion, we understand that the same could be done for allowing users to choose services based on their own requirement. This paper looks into unconventional, non-disruptive approach to provide mobile services based on user requirements. The first stage of this study is to look for user association from three new perspectives. The second stage involved utilizing a reinforcement learning algorithm known as q-learning, to learn from feedbacks to identify optimal decision in reaching user-centric requirement goal. The outcome from the proposed deployment has shown significant improvement in user association with learning aware solution © BEIESP. |
| first_indexed | 2025-11-14T17:47:39Z |
| format | Article |
| id | iium-79899 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T17:47:39Z |
| publishDate | 2019 |
| publisher | Blue Eyes Intelligence Engineering and Sciences Publication |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-798992020-03-27T07:20:56Z http://irep.iium.edu.my/79899/ User-centric learning for multiple access selections Dzulkifli, Sumayyah Hashim, Wahidah Ismail, Ahmad Fadzil Dohler, Mischa LB1044 Internet in Education LB2300 Higher Education We are in the age where business growth is based on how user-centric your services or goods is. Current research on wireless system is more focused on ensuring that user could achieve optimal throughput with minimal delay, disregarding what user actually wants from the services. Looking from con-nectivity point of view, especially in urban areas these days, there are multiple mobile and wireless access that user could choose to get connected to. As people are looking toward machine automa-tion, we understand that the same could be done for allowing users to choose services based on their own requirement. This paper looks into unconventional, non-disruptive approach to provide mobile services based on user requirements. The first stage of this study is to look for user association from three new perspectives. The second stage involved utilizing a reinforcement learning algorithm known as q-learning, to learn from feedbacks to identify optimal decision in reaching user-centric requirement goal. The outcome from the proposed deployment has shown significant improvement in user association with learning aware solution © BEIESP. Blue Eyes Intelligence Engineering and Sciences Publication 2019-10-01 Article PeerReviewed application/pdf en http://irep.iium.edu.my/79899/1/79899_User-Centric%20Learning.pdf application/pdf en http://irep.iium.edu.my/79899/2/79899_User-Centric%20Learning_SCOPUS.pdf Dzulkifli, Sumayyah and Hashim, Wahidah and Ismail, Ahmad Fadzil and Dohler, Mischa (2019) User-centric learning for multiple access selections. International Journal of Engineering and Advanced Technology, 9 (1). pp. 2338-2344. ISSN 2249-8958 https://www.ijeat.org/wp-content/uploads/papers/v9i1/A2666109119.pdf |
| spellingShingle | LB1044 Internet in Education LB2300 Higher Education Dzulkifli, Sumayyah Hashim, Wahidah Ismail, Ahmad Fadzil Dohler, Mischa User-centric learning for multiple access selections |
| title | User-centric learning for multiple access selections |
| title_full | User-centric learning for multiple access selections |
| title_fullStr | User-centric learning for multiple access selections |
| title_full_unstemmed | User-centric learning for multiple access selections |
| title_short | User-centric learning for multiple access selections |
| title_sort | user-centric learning for multiple access selections |
| topic | LB1044 Internet in Education LB2300 Higher Education |
| url | http://irep.iium.edu.my/79899/ http://irep.iium.edu.my/79899/ http://irep.iium.edu.my/79899/1/79899_User-Centric%20Learning.pdf http://irep.iium.edu.my/79899/2/79899_User-Centric%20Learning_SCOPUS.pdf |