Art

J-GLOBAL ID：201902235037680307   Reference number：19A2113099

Efficient Resource Allocation Utilizing Q-Learning in Multiple UA Communications

複数のUA通信におけるQ学習を用いた効率的資源割付【JST・京大機械翻訳】

Author (4)： Kawamoto Yuichi (Graduate School of Information Sciences, Tohoku University, Sendai, Japan) ,  Takagi Hiroaki (Graduate School of Information Sciences, Tohoku University, Sendai, Japan) ,  Nishiyama Hiroki (Graduate School of Information Sciences, Tohoku University, Sendai, Japan) ,  Kato Nei (Graduate School of Information Sciences, Tohoku University, Sendai, Japan)
Material： IEEE Transactions on Network Science and Engineering  (IEEE Trans Netw Sci Eng)
Volume： 6  Issue： 3  Page： 293-302  Publication year： 2019 
JST Material Number： W2435A  ISSN： 2327-4697  Document type： Article
Article type： 原著論文  Country of issue： United States (USA)  Language： ENGLISH (EN)

Abstract/Point： In recent years, unmanned airc...

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Thesaurus term： effectiveness ,  *telecommunication ,  remotely piloted vehicle ,  *resource allocation ,  reflected wave ,  administration system
Semi thesaurus term： 動作周波数 ,  移動性 ,  *Q学習 , 【Automatic Indexing@JST】

JST classification (2)： Mobile communication  (ND08030H) ,  Radio communication in general  (ND08010L)

Terms in the title (2)： Q学習 ,  資源割付