Game Theory and Learning for Wireless Networks

Fundamentals and Applications

Inbunden, Engelska, 2011

914 kr

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Beskrivning

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 Sup�lec, Gif-sur-Yvette, France. He is also a part-time professor in the Department of Physics at �cole Polytechnique, Palaiseau, France.

Hamidou Tembine is a professor in the Department of Telecommunications at Sup�lec, Gif-sur-Yvette, France.

Merouane Debbah is a professor at Sup�lec, 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

Produktinformation

Utgivningsdatum:2011-08-19
Mått:191 x 235 x 20 mm
Vikt:850 g
Format:Inbunden
Språk:Engelska
Antal sidor:336
Förlag:Elsevier Science
ISBN:9780123846983

Utforska kategorier

Elektronik och kommunikationer inom Naturvetenskap och teknik

Mer om författaren

Samson received his BSc and Agrégation degree in Applied Physics from École Normale Supérieure (Cachan) and his MSc and PhD in Signal Processing from École Nationale Supérieure des Télécommunications (Paris). Professional experience. He has been working with Motorola Labs for three years (1999, 2000, 2001) and with France Télécom R&D for two years (2002, 2003). Since 2004, he has joined the CNRS and Supélec. Since 2004, he is also Chargé d'Enseignement at École Polytechnique. His broad interests lie in the areas of communications, signal processing and information theory with a special emphasis on game theory for wireless communications. Samson Lasaulce is the recipient of the 2007 ACM/ICST International Conference on Performance Evaluation Methodologies and Tools (VALUETOOLS) and 2009 International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CROWNCOM) best student paper awards. Elena Veronica Belmega, who is a PhD student under my supervision, was awarded with the 2009 Academy of Sciences - L'Oreal - Unesco award for young women in sciences in France. 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.[

Innehållsförteckning

Preface and Introduction.Part A Games with Complete InformationA1 A short tour of game theoryA2 Playing with equilibria in wireless non-cooperative gamesA3 Moving from static to dynamic gameA4 Coalitional gamesPart B Games with complete information and learningB1 Bayesian gamesB2 Partially distributed learning algorithmsB3 Fully distributed learning algorithmsPart C Case StudiesC1 Fundamentals of wireless communicationsC2 Energy-efficient power control gamesC3 Rate-efficient power allocation gamesC4 Medium access control gamesPart D AppendicesBibliography and index