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dc.contributor.author Ham, Dongho -
dc.contributor.author Kwak, Jeongho -
dc.date.accessioned 2023-12-26T18:12:31Z -
dc.date.available 2023-12-26T18:12:31Z -
dc.date.created 2022-12-30 -
dc.date.issued 2022-10-21 -
dc.identifier.isbn 9781665499392 -
dc.identifier.issn 2162-1241 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/46797 -
dc.description.abstract As the Fifth-generation (5G) environment becomes widespread, various services tailored to these environmental standards are being provided. In line with this, computer vision based artificial intelligence (AI)-Native services such as AR/VR (augmented reality/virtual reality) and realistic services have emerged, but it is difficult to satisfy the requirements of these services. In a 5G environment, mobile edge computing (MEC) and cloud computing infrastructure are independent, making it difficult to provide AI-Native services in a sixth-generation (6G) environment, and the interface of the wireless network is also limited to the general services that can be provided in a 5G environment. In this paper, we specify the service-side limitations of the 5G environment through the survey of AI-Native services. Additionally, it presents a direction to move forward in the 6G system for an environment in which AI-Native services are delivered seamlessly. © 2022 IEEE. -
dc.language English -
dc.publisher 한국통신학회 (The Korean Institute of Communications and Information Sciences, KICS) -
dc.title Survey on 6G System for AI-Native Services -
dc.type Conference Paper -
dc.identifier.doi 10.1109/ICTC55196.2022.9952578 -
dc.identifier.scopusid 2-s2.0-85143252903 -
dc.identifier.bibliographicCitation International Conference on Information and Communication Technology Convergence, ICTC 2022, pp.1520 - 1522 -
dc.identifier.url https://2022.ictc.org/ -
dc.citation.conferencePlace KO -
dc.citation.conferencePlace 제주 -
dc.citation.endPage 1522 -
dc.citation.startPage 1520 -
dc.citation.title International Conference on Information and Communication Technology Convergence, ICTC 2022 -
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Department of Electrical Engineering and Computer Science Intelligent Computing & Networking Laboratory 2. Conference Papers

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