Game Theory and Learning for Wireless Networks: Fundamentals and Applications
Language: English
Published by Academic Press, 2018
- Softcover
- Used
Seller: World of Books Inc, Montgomery, IL, U.S.A.World of Books Inc
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Condition: Used - Good
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Add to basketItem description from seller
Written by leading experts in the field, Game Theory and Learning for Wireless Networks Covers how theory can be used to solve prevalent problems in wireless networks such as power control, resource allocation or medium access control. With the emphasis now on promoting 'green' solutions in the wireless field where power consumption is minimized, there is an added focus on developing network solutions that maximizes the use of the spectrum available. With the growth of distributed wireless networks such as Wi-Fi and the Internet; the push to develop ad hoc and cognitive networks has led to a considerable interest in applying game theory to wireless communication systems. Game Theory and Learning for Wireless Networks is the first comprehensive resource of its kind, and is ideal for wireless communications R&D engineers and graduate students. Samson Lasaulce is a senior CNRS researcher at the Laboratory of Signals and Systems (LSS) at Supelec, Gif-sur-Yvette, France. He is also a part-time professor in the Department of Physics at Ecole Polytechnique, Palaiseau, France. Hamidou Tembine is a professor in the Department of Telecommunications at Supelec, Gif-sur-Yvette, France. Merouane Debbah is a professor at Supelec, Gif-sur-Yvette, France. He is the holder of the Alcatel-Lucent chair in flexible radio since 2007.…
Seller Inventory # CIN008101600XG
- Title
- Game Theory and Learning for Wireless Networks: Fundamentals and Applications
- Author
- Samson Lasaulce
- Publisher
- Academic Press
- Publication year
- 2018
- Condition
- Good
- Binding
- Paperback
- Language
- English
- ISBN 10
- 008101600X
- ISBN 13
- 9780081016008
Written by leading experts in the field, Game Theory and Learning for Wireless Networks Covers how theory can be used to solve prevalent problems in wireless networks such as power control, resource allocation or medium access control. With the emphasis now on promoting ‘green’ solutions in the wireless field where power consumption is minimized, there is an added focus on developing network solutions that maximizes the use of the spectrum available.
With the growth of distributed wireless networks such as Wi-Fi and the Internet; the push to develop ad hoc and cognitive networks has led to a considerable interest in applying game theory to wireless communication systems. Game Theory and Learning for Wireless Networks is the first comprehensive resource of its kind, and is ideal for wireless communications R&D engineers and graduate students.
Samson Lasaulce is a senior CNRS researcher at the Laboratory of Signals and Systems (LSS) at Supélec, Gif-sur-Yvette, France. He is also a part-time professor in the Department of Physics at École Polytechnique, Palaiseau, France.
Hamidou Tembine is a professor in the Department of Telecommunications at Supélec, Gif-sur-Yvette, France.
Merouane Debbah is a professor at Supélec, Gif-sur-Yvette, France. He is the holder of the Alcatel-Lucent chair in flexible radio since 2007.
- The first tutorial style book that gives all the relevant theory, at the right level of rigour, for the wireless communications engineer
- Bridges the gap between theory and practice by giving examples and case studies showing how game theory can solve real world resource allocation problems
- Contains algorithms and techniques to implement game theory in wireless terminals
"Synopsis" may belong to another edition of this title.
About the Author
Hamidou Tembine (born November 4, 1982, in Orsongo, Dogon Country, West Africa) is a French game theorist and researcher specializing in evolutionary games and co-opetitive mean-field-type games. He has been a Global Network Assistant Professor at New York University. He has been also the principal investigator and director of the Game Theory and Learning Laboratory (L&G Lab) at New York University.[1] Tembine has written about 300 research articles, 5 books, and co-edited 3 books. His research is focused in the areas of auto-regulation, self-regulation, knowledge-based economy and variance minimization of tokens in emerging markets.[
"About the title" may belong to another edition of this title.
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