Access control of MTC devices using reinforcement learning approach
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Moon, Jihun | - |
dc.contributor.author | Lim, Yujin | - |
dc.date.available | 2021-02-22T11:15:27Z | - |
dc.date.issued | 2017-01 | - |
dc.identifier.issn | 1976-7684 | - |
dc.identifier.uri | https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/8595 | - |
dc.description.abstract | MTC (Machine Type Communication) applications are one of the promising applications in 3GPP system because it connects a huge number of devices into one network. In MTC applications, a huge number of devices attempt to access a system using contention-based random access scheme in a short period. It makes a system overloaded. To solve the overload problem, we propose an access control scheme of devices using Q-learning algorithm. Experimental results show that the scheme adaptively adjusts access control parameter. © 2017 IEEE. | - |
dc.format.extent | 3 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | IEEE Computer Society | - |
dc.title | Access control of MTC devices using reinforcement learning approach | - |
dc.type | Article | - |
dc.publisher.location | 미국 | - |
dc.identifier.doi | 10.1109/ICOIN.2017.7899576 | - |
dc.identifier.scopusid | 2-s2.0-85018268658 | - |
dc.identifier.bibliographicCitation | International Conference on Information Networking, pp 641 - 643 | - |
dc.citation.title | International Conference on Information Networking | - |
dc.citation.startPage | 641 | - |
dc.citation.endPage | 643 | - |
dc.type.docType | Conference Paper | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Learning algorithms | - |
dc.subject.keywordPlus | Mobile telecommunication systems | - |
dc.subject.keywordPlus | Reinforcement learning | - |
dc.subject.keywordPlus | Wireless telecommunication systems | - |
dc.subject.keywordPlus | Access class | - |
dc.subject.keywordPlus | Access control schemes | - |
dc.subject.keywordPlus | LTE-A networks | - |
dc.subject.keywordPlus | Machine-type communications | - |
dc.subject.keywordPlus | Q-learning algorithms | - |
dc.subject.keywordPlus | Random access | - |
dc.subject.keywordPlus | Random access schemes | - |
dc.subject.keywordPlus | Reinforcement learning approach | - |
dc.subject.keywordPlus | Access control | - |
dc.subject.keywordAuthor | Access class barring | - |
dc.subject.keywordAuthor | LTE-A networks | - |
dc.subject.keywordAuthor | machinetype communication | - |
dc.subject.keywordAuthor | random access | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/7899576 | - |
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