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Game Theory and Learning for Wireless Networks
Fundamentals and Applications
A tool-box on how game theory can solve state-of-the-art problems in wireless communications, including the critical issues of power control, interference and resource allocation
Samson Lasaulce (Author), Hamidou Tembine (Author)
9780123846983, Elsevier Science
Hardback, published 19 August 2011
336 pages, Approx. 200 illustrations
23.4 x 19 x 2.4 cm, 0.85 kg
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.
Preface and Introduction. Part A Games with Complete Information A1 A short tour of game theory A2 Playing with equilibria in wireless non-cooperative games A3 Moving from static to dynamic game A4 Coalitional games Part B Games with complete information and learning B1 Bayesian games B2 Partially distributed learning algorithms B3 Fully distributed learning algorithms Part C Case Studies C1 Fundamentals of wireless communications C2 Energy-efficient power control games C3 Rate-efficient power allocation games C4 Medium access control games Part D Appendices Bibliography and index
Subject Areas: WAP [wireless technology TJKW], Communications engineering / telecommunications [TJK], Game theory [PBUD]
