Communities & Collections
Researchers & Labs
Titles
DGIST
LIBRARY
DGIST R&D
Detail View
Department of Electrical Engineering and Computer Science
Intelligent Computing & Networking Laboratory
2. Conference Papers
Survey on 6G System for AI-Native Services
Ham, Dongho
;
Kwak, Jeongho
Department of Electrical Engineering and Computer Science
Intelligent Computing & Networking Laboratory
2. Conference Papers
Citations
WEB OF SCIENCE
Citations
SCOPUS
Metadata Downloads
XML
Excel
Title
Survey on 6G System for AI-Native Services
Issued Date
2022-10-21
Citation
Ham, Dongho. (2022-10-21). Survey on 6G System for AI-Native Services. International Conference on Information and Communication Technology Convergence, ICTC 2022, 1520–1522. doi: 10.1109/ICTC55196.2022.9952578
Type
Conference Paper
ISBN
9781665499392
ISSN
2162-1241
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.
URI
http://hdl.handle.net/20.500.11750/46797
DOI
10.1109/ICTC55196.2022.9952578
Publisher
한국통신학회 (The Korean Institute of Communications and Information Sciences, KICS)
Show Full Item Record
File Downloads
There are no files associated with this item.
공유
공유하기
Related Researcher
Kwak, Jeongho
곽정호
Department of Electrical Engineering and Computer Science
read more
Total Views & Downloads