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Partially Distributed Channel and Power Management Based on Reinforcement Learning

Zhiwei Jiang Caiyong Hao Yang Huang Qihui Wu Fuhui Zhou

通信与信息网络学报（英文）2020，Vol.5Issue(4)：423-437,15.

Partially Distributed Channel and Power Management Based on Reinforcement Learning

Zhiwei Jiang ¹Caiyong Hao ²Yang Huang ¹Qihui Wu ³Fuhui Zhou¹

作者信息

1. Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space,Ministry of Indus-try and Information Technology,Nanjing University of Aeronautics and As-tronautics(NUAA),Nanjing 210016,China
2. Shenzhen Station of State Radio Monitoring Center,Shenzhen 518000,China
3. National Mobile Communications Research Laboratory,South-east University,Nanjing 210016,China
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摘要

关键词

constrained Markov decision processes/multi-user optimization/reinforcement learning/the In-ternet of things

Key words

constrained Markov decision processes/multi-user optimization/reinforcement learning/the In-ternet of things

引用本文复制引用

Zhiwei Jiang,Caiyong Hao,Yang Huang,Qihui Wu,Fuhui Zhou..Partially Distributed Channel and Power Management Based on Reinforcement Learning[J].通信与信息网络学报（英文）,2020,5(4):423-437,15.

基金项目

This work was supported in part by National Natural Science Foun-dation of China under Grant 61901216,61631020 and 61827801,Natural Science Foundation of Jiangsu Province under Grant BK20190400,Open Research Fund of National Mobile Communications Research Laboratory,Southeast University(No.2020D08),and Foundation of Graduate Innovation Center in NUAA under Grant kfjj20190408. （No.2020D08）

通信与信息网络学报（英文）

OACSCDEI

ISSN：2096-1081

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