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.
Original language | English |
---|---|
Title of host publication | ICTC 2022 - 13th International Conference on Information and Communication Technology Convergence |
Subtitle of host publication | Accelerating Digital Transformation with ICT Innovation |
Publisher | IEEE Computer Society |
Pages | 1520-1522 |
Number of pages | 3 |
ISBN (Electronic) | 9781665499392 |
DOIs | |
State | Published - 2022 |
Event | 13th International Conference on Information and Communication Technology Convergence, ICTC 2022 - Jeju Island, Korea, Republic of Duration: 19 Oct 2022 → 21 Oct 2022 |
Publication series
Name | International Conference on ICT Convergence |
---|---|
Volume | 2022-October |
ISSN (Print) | 2162-1233 |
ISSN (Electronic) | 2162-1241 |
Conference
Conference | 13th International Conference on Information and Communication Technology Convergence, ICTC 2022 |
---|---|
Country/Territory | Korea, Republic of |
City | Jeju Island |
Period | 19/10/22 → 21/10/22 |
Bibliographical note
Publisher Copyright:© 2022 IEEE.
Keywords
- 5G/6G
- artificial intelligence (AI)
- mobile edge computing (MEC) and wireless interface