Deep reinforcement learning for mobile 5g and beyond : fundamentals, applications, and challenges
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...
Main Authors: | Xiong, Zehui, Zhang, Yang, Niyato, Dusit, Deng, Ruilong, Wang, Ping, Wang, Li-Chun |
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Other Authors: | School of Computer Science and Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2020
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/143868 |
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