Overview
- Emphasizes intuition rather than laborious proofs
- Provides a recipe for applying theoretical tools to real-world problems
- Treats both theoretical and practical aspects of the sequential learning and decision making framework
- Covers many representative applications in wireless networks
- Includes supplementary material: sn.pub/extras
Part of the book series: Wireless Networks (WN)
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Table of contents (8 chapters)
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Theory
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Sequential Learning and Decision-Making in Wireless Resource Management
Authors: Rong Zheng, Cunqing Hua
Series Title: Wireless Networks
DOI: https://doi.org/10.1007/978-3-319-50502-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2016
Hardcover ISBN: 978-3-319-50501-5Published: 12 January 2017
Softcover ISBN: 978-3-319-84413-8Published: 07 July 2018
eBook ISBN: 978-3-319-50502-2Published: 05 January 2017
Series ISSN: 2366-1186
Series E-ISSN: 2366-1445
Edition Number: 1
Number of Pages: XIII, 118
Number of Illustrations: 22 b/w illustrations
Topics: Computer Communication Networks, Communications Engineering, Networks