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...
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Main Authors: | , , , , , |
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格式: | Article |
語言: | English |
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2020
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在線閱讀: | https://hdl.handle.net/10356/143868 |
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機構: | Nanyang Technological University |
語言: | English |