Applications of Deep Learning and Deep Reinforcement Learning in 6G Networks


연구 분야: Artificial Intelligence



학회: 2023 Fourteenth International Conference on Ubiquitous and Future Networks (ICUFN)


초록

As the demand for data-driven applications and emerging technologies such as extended reality, autonomous vehicles, and the Internet of Things (IoT) continues to grow, the development of a next-generation wireless communication system, 6G, becomes necessary. To fulfill the stringent requirements of 6G networks, new enabling technologies are necessary. Deep learning (DL) and deep reinforcement learning (DRL) are two promising technologies that have gained significant attention in recent years. In this paper, we provide an overview of the applications and advancements of DL and DRL in 6G networks. We discuss the latest research and identify areas for further exploration in this field.


Author Profile
Tri-Hai Nguyen

Department of Computer Science and Engineering Seoul National University of Science and Technology Seoul Korea

Andorra
Author Profile
Heejae Park

Department of Computer Science and Engineering Seoul National University of Science and Technology Seoul Korea

Andorra
Author Profile
Kihyun Seol

Department of Computer Science and Engineering Seoul National University of Science and Technology Seoul Korea

Andorra

📄 논문 정보

발행 연도 2023년
인용수 15
출판 국가 Andorra
사이트 IEEE
좋아요 수 0

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