Machine Learning in Beyond 5G/6G Networks—State-of-the-Art and Future Trends
Artificial Intelligence (AI) and especially Machine Learning (ML) can play a very important role in realizing and optimizing 6G network applications. In this paper, we present a brief summary of ML methods, as well as an up-to-date review of ML approaches in 6G wireless communication systems. These...
Guardado en:
Autores principales: | Vasileios P. Rekkas, Sotirios Sotiroudis, Panagiotis Sarigiannidis, Shaohua Wan, George K. Karagiannidis, Sotirios K. Goudos |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/b2f8e3564aae41a5a88ea8a00c8a9acc |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Overview of Smart Aquaculture System: Focusing on Applications of Machine Learning and Computer Vision
por: Thi Thu Em Vo, et al.
Publicado: (2021) -
Edge Network Optimization Based on AI Techniques: A Survey
por: Mitra Pooyandeh, et al.
Publicado: (2021) -
Feature-Based Interpretation of the Deep Neural Network
por: Eun-Hun Lee, et al.
Publicado: (2021) -
IoT Security Challenges: Cloud and Blockchain, Postquantum Cryptography, and Evolutionary Techniques
por: Stefan Balogh, et al.
Publicado: (2021) -
Building trust when using artificial intelligence
por: A. A. Dashkov, et al.
Publicado: (2021)