Sequential learning and decision-mak...
Hua, Cunqing.

 

  • Sequential learning and decision-making in wireless resource management[electronic resource] /
  • 紀錄類型: 書目-語言資料,印刷品 : Monograph/item
    杜威分類號: 621.384
    書名/作者: Sequential learning and decision-making in wireless resource management/ by Rong Zheng, Cunqing Hua.
    作者: Zheng, Rong.
    其他作者: Hua, Cunqing.
    出版者: Cham : : Springer International Publishing :, 2016.
    面頁冊數: xiii, 118 p. : : ill., digital ;; 24 cm.
    Contained By: Springer eBooks
    標題: Cognitive radio networks.
    標題: Radio resource management (Wireless communications)
    標題: Computer Science.
    標題: Computer Communication Networks.
    標題: Communications Engineering, Networks.
    ISBN: 9783319505022
    ISBN: 9783319505015
    內容註: Introduction -- Stochastic Multi-armed Bandit -- Markov Multi-armed Bandit -- Adversarial Multi-armed Bandit -- Spectrum Sensing and Access in Cognitive Radio Networks -- Sniffer Channel Assignment in Multi-channel Wireless Networks -- Online Routing in Multi-hop Wireless Networks -- Channel Selection and User Association in WiFi Networks.
    摘要、提要註: This book lays out the theoretical foundation of the so-called multi-armed bandit (MAB) problems and puts it in the context of resource management in wireless networks. Part I of the book presents the formulations, algorithms and performance of three forms of MAB problems, namely, stochastic, Markov and adversarial. Covering all three forms of MAB problems makes this book unique in the field. Part II of the book provides detailed discussions of representative applications of the sequential learning framework in cognitive radio networks, wireless LANs and wireless mesh networks. Both individuals in industry and those in the wireless research community will benefit from this comprehensive and timely treatment of these topics. Advanced-level students studying communications engineering and networks will also find the content valuable and accessible.
    電子資源: http://dx.doi.org/10.1007/978-3-319-50502-2
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