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Presenting state-of-the-art research into methods of wireless spectrum allocation based on game theory and mechanism design, this innovative and comprehensive book provides a strong foundation for the design of future wireless mechanisms and spectrum markets. Prominent researchers showcase a diverse range of novel insights and approaches to the increasing demand for limited spectrum resources, with a consistent emphasis on theoretical methods, analytical results and practical examples. Covering fundamental underlying principles, licensed spectrum sharing, opportunistic spectrum sharing, and wider technical and economic considerations, this singular book will be of interest to academic and industrial researchers, wireless industry practitioners, and regulators interested in the foundations of cutting-edge spectrum management.
Game theory (GT) is a mathematical tool that analyzes interactions among decision makers. Game theory is seen as a natural paradigm to study and analyze wireless networks where players compete for the same resources. The importance of studying the coexistence between macrocells and femtocells from a game theoretical perspective is multi-fold. First, as illustrated in Figure 11.1, by modeling the dynamic spectrum sharing among network players (macrocell base stations (MBSs), femtocell base stations (FBSs), mobile user equipment (MUE), and home user equipment (HUE)) as games, the behaviors and actions of players can be analyzed in a formalized structure, by which the theoretical achievements in GT can be fully utilized. Second, GT equips us with different optimality criteria for various spectrum sharing problems, which are of key importance when it comes to analyzing the equilibrium of the game. Third, the application of GT enables us to derive efficient distributed algorithms for self-organized networks relying only on partial information. In order to achieve this, the theory of strategic reinforcement learning is of utmost importance by allowing players to choose their optimal strategies and gradually learn from their environment through trial and error procedures. A comprehensive source of game theoretic approaches and their application to wireless communications can be found in .
Covering attack detection, malware response, algorithm and mechanism design, privacy, and risk management, this comprehensive work applies unique quantitative models derived from decision, control, and game theories to understanding diverse network security problems. It provides the reader with a system-level theoretical understanding of network security, and is essential reading for researchers interested in a quantitative approach to key incentive and resource allocation issues in the field. It also provides practitioners with an analytical foundation that is useful for formalising decision-making processes in network security.