Transfer learning for wireless networks: a comprehensive survey

• Main Authors: Nguyen, Cong T., Van Huynh, Nguyen, Chu, Nam H., Saputra, Yuris Mulya, Hoang, Dinh Thai, Nguyen, Diep N., Pham, Quoc-Viet, Niyato, Dusit, Dutkiewicz, Eryk, Hwang, Won-Joo
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Computer science and engineering; Caching; Cognitive Radios
• Online Access: https://hdl.handle.net/10356/163761
• Institution: Nanyang Technological University

With outstanding features, machine learning (ML) has become the backbone of numerous applications in wireless networks. However, the conventional ML approaches face many challenges in practical implementation, such as the lack of labeled data, the constantly changing wireless environments, the long...