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Machine Learning in 6G-NTN: Emerging Technologies and Opportunities
초록
AI based technologies have been integrated into the 6G architecture to enhance coverage efficiency dynamically. By providing wide-area coverage and enabling service availability, continuity, and scalability, Non-Terrestrial Network (NTN) solutions are able to meet the requirements of anywhere and anytime connections. This paper addresses the challenges and potential solutions for 6G-NTN emphasizing on the effective approaches that AI provides in 6G services. Keeping focus on all these challenges and issues, we provide a compressive overview of ML-based solutions for 6G-NTN, which can be utilized in a range of future applications.
- 제목
- Machine Learning in 6G-NTN: Emerging Technologies and Opportunities
- 저자
- KYUNGHI CHANG
- 학회명
- 한국통신학회 동계종합학술발표회
- 개최지
- 평창
- 학회 개최일
- 2022-02-09 ~ 2022-02-11