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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Sequential Learning and Decision-Making in Wireless Resource Management

Sequential Learning and Decision-Making in Wireless Resource Management

Zheng, Rong
Hua, Cunqing

Hardcover

Series: Wireless Networks

Technology & EngineeringNetworking

ISBN10: 3319505017
ISBN13: 9783319505015
Publisher: Springer Nature
Published: Jan 12 2017
Pages: 118
Weight: 0.85
Height: 0.44 Width: 6.14 Depth: 9.21
Language: English
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.

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