Deep reinforcement learning for mobile 5g and beyond : fundamentals, applications, and challenges

• Main Authors: Xiong, Zehui, Zhang, Yang, Niyato, Dusit, Deng, Ruilong, Wang, Ping, Wang, Li-Chun
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Computer science and engineering; 5G Mobile Communication; Deep Reinforcement Learning
• Online Access: https://hdl.handle.net/10356/143868
• Institution: Nanyang Technological University

Future-generation wireless networks (5G and beyond) must accommodate surging growth in mobile data traffic and support an increasingly high density of mobile users involving a variety of services and applications. Meanwhile, the networks become increasingly dense, heterogeneous, decentralized, and a...